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  <Article>
    <Journal>
      <PublisherName>American Physiological Society</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0022-3077</Issn>
      <Volume>135</Volume>
      <Issue>4</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Characteristics of cross-modal negative BOLD responses in the human sensory subcortex and cortex</ArticleTitle>
    <FirstPage LZero="delete">747</FirstPage>
    <LastPage>759</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Toshikazu</FirstName>
        <LastName>Miyata</LastName>
        <Affiliation>Division of Sensory and Cognitive Brain Mapping, Department of System Neuroscience, National Institute for Physiological Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masaki</FirstName>
        <LastName>Fukunaga</LastName>
        <Affiliation>Section of Brain Function Information, National Institute for Physiological Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Junxiang</FirstName>
        <LastName>Luo</LastName>
        <Affiliation>Division of Sensory and Cognitive Brain Mapping, Department of System Neuroscience, National Institute for Physiological Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Isao</FirstName>
        <LastName>Yokoi</LastName>
        <Affiliation>National Institute for Physiological Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tetsuya</FirstName>
        <LastName>Yamamoto</LastName>
        <Affiliation>Section of Brain Function Information, National Institute for Physiological Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ayumi</FirstName>
        <LastName>Yoshioka</LastName>
        <Affiliation>Section of Brain Function Information, National Institute for Physiological Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tomoyo</FirstName>
        <LastName>Morita</LastName>
        <Affiliation>Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT)</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiromasa</FirstName>
        <LastName>Takemura</LastName>
        <Affiliation>Division of Sensory and Cognitive Brain Mapping, Department of System Neuroscience, National Institute for Physiological Sciences</Affiliation>
      </Author>
    </AuthorList>
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    <Abstract>Functional magnetic resonance imaging (fMRI) is a noninvasive method for measuring human brain activity based on blood oxygenation level-dependent (BOLD) responses. Although many studies have reported positive BOLD responses evoked by sensory stimuli, others have reported negative BOLD responses (NBRs) in the sensory cortex when stimuli from different sensory modalities are presented (i.e., cross-modal NBRs). We conducted an fMRI experiment to better understand the characteristics of cross-modal NBRs in subcortical and cortical regions. Auditory and visual stimuli were presented unilaterally to one ear and to either the left or right visual field, respectively. The lateral geniculate nucleus and medial geniculate nucleus did not show a significant cross-modal NBR. In contrast, the primary auditory cortex showed a significant cross-modal NBR when visual stimuli were presented in either the contralateral or ipsilateral visual fields. Finally, we found that the cross-modal NBR in the early visual cortex was highly variable across subjects and did not exhibit consistent trends. However, each subject’s data exhibited considerable split-half reliability. Our results suggest that cross-modal NBR in the auditory cortex likely reflects mechanisms such as interhemispheric suppression, rather than those coordinated within the same hemisphere.&lt;br&gt;
NEW &amp; NOTEWORTHY This study demonstrated that the human primary auditory cortex showed a significant cross-modal negative BOLD response bilaterally, regardless of the visual field in which the visual stimuli were presented. This result suggests that the cross-modal negative BOLD response is not an epiphenomenon of visual cortex activation predominantly observed in the contralateral hemisphere, but is more likely to reflect interhemispheric suppression mechanisms.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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      <Object Type="keyword">
        <Param Name="value">auditory system</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">cross-modal</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">functional MRI</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">visual system</Param>
      </Object>
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    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Elsevier BV</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0010-9452</Issn>
      <Volume>194</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Increasing visual uncertainty modulates multisensory decision-making</ArticleTitle>
    <FirstPage LZero="delete">50</FirstPage>
    <LastPage>62</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Xiangfu</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Weiping</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Department of Psychology, Faculty of Education, Hubei University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
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      <ArticleId IdType="doi"/>
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    <Abstract>The brain integrates and transforms information from multiple senses to make optimal decisions, a process that is critical for navigating complex environments with perceptual uncertainty. Despite a growing consensus that individuals adapt flexibly to uncertain sensory input, whether increasing visual uncertainty influences the decision process itself or other, non-decision sensory processes during multisensory decision-making are unclear. Here, an audiovisual categorization task was used to examine the responses of human participants (N = 30) to visual and audiovisual stimuli under low-, medium-, and high-uncertainty conditions. Modeling the behavioral data using a drift‒diffusion model indicated that increased visual uncertainty in the audiovisual context decreased the evidence accumulation rate but had no effect on non-decision processes. Electrophysiological recordings confirmed and expanded upon these results: increased visual uncertainty in the audiovisual context reduced the amplitude during the late decision-making stage (300–380 msec) but had no effect on the amplitude during the early sensory encoding stage (140–220 msec). More importantly, electroencephalography analyses revealed that audiovisual integration in the early sensory encoding stage occurred robustly across all visual uncertainty conditions, whereas audiovisual integration in the late stage occurred only under medium and high visual uncertainty conditions. This study demonstrated that increased visual uncertainty modulates the decision process itself rather than early sensory encoding during multisensory decision-making. Moreover, multisensory integration strategies dynamically adapt to increasing visual uncertainty by engaging different mechanisms to maintain effective decision-making.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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      <Object Type="keyword">
        <Param Name="value">Multisensory decision-making</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Visual uncertainty</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Audiovisual integration</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Event-related potential</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Drift‒diffusion model</Param>
      </Object>
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  </Article>
  <Article>
    <Journal>
      <PublisherName>MDPI AG</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2076-3425</Issn>
      <Volume>15</Volume>
      <Issue>11</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Sensory Modality-Dependent Interplay Between Updating and Inhibition Under Increased Working Memory Load: An ERP Study</ArticleTitle>
    <FirstPage LZero="delete">1178</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yuxi</FirstName>
        <LastName>Luo</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ao</FirstName>
        <LastName>Guo</LastName>
        <Affiliation>Department of Psychology, Institute of Education, China West Normal University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Faculty of Biomedical Engineering, Shenzhen University of Advanced Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background/Objectives: Working memory (WM) performance relies on the coordination of updating and inhibition functions within the central executive system. However, their interaction under varying cognitive loads, particularly across sensory modalities, remains unclear. Methods: This study examined how sensory modality modulates flanker interference under increasing WM loads. Twenty-two participants performed a visual n-back task at three load levels (1-, 2-, and 3-back) while ignoring visual (within-modality) or auditory (cross-modality) flankers. Results: Behaviorally, increased WM load (2- and 3-back) led to reduced accuracy (AC) and prolonged reaction times (RTs) in both conditions. In addition, flanker interference was observed under the 2-back condition in both the visual within-modality (VM) and audiovisual cross-modality (AVM) tasks. However, performance impairment emerged at a lower load (2-back) in the VM condition, whereas in the AVM condition, it only emerged at the highest load (3-back). Significant performance impairment in the AVM condition occurred at higher WM loads, suggesting that greater WM load is required to trigger interference. Event-related potential (ERP) results showed that N200 amplitudes increased significantly for incongruent flankers under the highest WM load (3-back) in the visual within-modality condition, reflecting greater inhibitory demands. In the cross-modality condition, enhanced N200 was not observed across all loads and even reversed at low load (1-back). Moreover, the results also showed that P300 amplitude increased with load in the within-modality condition but decreased in the cross-modality condition. Conclusions: These results demonstrated that the interaction between updating and inhibition is shaped by both WM load and sensory modality, further supporting a sensory modality-specific resource allocation mechanism. The cross-modality configurations may enable more efficient distribution of cognitive resources under high load, reducing interference between concurrent executive demands.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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      <Object Type="keyword">
        <Param Name="value">workingmemory load</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">attentional resource allocation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">modality-specific interference</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">inhibitory control</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">executive function</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">sensory modality</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Frontiers Media SA</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1662-453X</Issn>
      <Volume>19</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Effects of visual spatial frequency on audiovisual interaction: an event-related potential study</ArticleTitle>
    <FirstPage LZero="delete">1599114</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Fengxia</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>School of Artificial Intelligence, Changchun University of Science and Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yanna</FirstName>
        <LastName>Ren</LastName>
        <Affiliation>Department of Psychology, College of Humanities and Management, Guizhou University of Traditional Chinese Medicine</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tengfei</FirstName>
        <LastName>Hao</LastName>
        <Affiliation>School of Artificial Intelligence, Changchun University of Science and Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jingjing</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>School of Artificial Intelligence, Changchun University of Science and Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Qiong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Department of Psychology, Suzhou University of Science and Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Meng</FirstName>
        <LastName>Wang</LastName>
        <Affiliation>School of Artificial Intelligence, Changchun University of Science and Technology</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Spatial frequency is a fundamental characteristic of visual signals that modulates the audiovisual integration behavior, but the neural mechanisms underlying spatial frequency are not well established. In the present study, the high temporal resolution of event-related potentials was used to investigate how visual spatial frequency modulates audiovisual integration. A visual orientation discrimination task was used, and the spatial frequency of visual stimuli was manipulated under three conditions. Results showed that the influence of visual spatial frequency on audiovisual integration is a dynamic process. The earliest audiovisual integration occurred over the left temporal-occipital regions in the early sensory stage (60–90 ms) for high spatial frequency conditions but was absent for low and middle spatial frequency conditions. In addition, audiovisual integration over fronto-central regions was delayed as spatial frequency increased (from 230–260 ms to 260–320 ms). The integration effect was also observed over parietal and occipital regions at 350–380 ms, and its strength gradually decreased at higher spatial frequencies. These discrepancies in the temporal and spatial distributions of audiovisual integration imply that the role of spatial frequency varies between early sensory and late cognitive stages. The findings of this study offer the first neural demonstration that spatial frequency modulates audiovisual integration, thus providing a basis for studying complex multisensory integration, especially in semantic and emotional domains.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">spatial frequency</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">visual orientation discrimination</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">audiovisual integration</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">early sensory stage</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">late cognitive stage</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">event-related potentials</Param>
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  </Article>
  <Article>
    <Journal>
      <PublisherName>Wiley</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0952-3480</Issn>
      <Volume>38</Volume>
      <Issue>9</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Ultrahigh‐Field MR‐Compatible Mechanical Tactile Stimulator for Investigating Somatosensory Processing in Small‐Bodied Animals</ArticleTitle>
    <FirstPage LZero="delete">e70105</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Chenyu</FirstName>
        <LastName>Wang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirohiko</FirstName>
        <LastName>Imai</LastName>
        <Affiliation>Innovation Research Center for Quantum Medicine, Gifu University School of Medicine</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masaki</FirstName>
        <LastName>Fukunaga</LastName>
        <Affiliation>Section of Brain Function Information, National Institute for Physiological Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiroki</FirstName>
        <LastName>Yamamoto</LastName>
        <Affiliation>Graduate School of Human and Environmental Studies, Kyoto University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kazuhiko</FirstName>
        <LastName>Seki</LastName>
        <Affiliation>Department of Neurophysiology, National Center of Neurology and Psychiatry</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takashi</FirstName>
        <LastName>Hanakawa</LastName>
        <Affiliation>Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuya</FirstName>
        <LastName>Umeda</LastName>
        <Affiliation>Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Common marmosets (Callithrix jacchus), small-bodied New World primates that share similar sensory processing pathways with human beings, have gained great interests. Their small body size allows imaging of brain activity with high spatial resolution and on a whole-brain scale using ultrahigh-field (UHF) magnetic resonance imaging (MRI) scanners. However, the strong magnetic field and the small size of the hand and forearm pose challenges in delivering tactile stimulation during fMRI experiments. In the present study, we developed an MR-compatible tactile dual-point stimulator to provide high-precision mechanical stimulation for exploring somatosensory processing in small-bodied animals. The study population consisted of a water phantom and three male common marmosets. Cerebral blood volume (CBV) weighted fMRI data were obtained with a gradient echo (GE), echo-planar imaging (EPI) sequence at 7T scanner. The output performance of the device was tested by a pressure sensor. The MR compatibility of the device was verified by measuring the temporal signal-to-noise ratio (tSNR) of a water phantom. To test the effectiveness of tactile stimulation, we conducted block designed tactile stimulation experiments on marmosets. A one-way repeated measures ANOVA was conducted for comparing the tSNR results. We performed one-sample t-tests to investigate the negative response of the forearm and hand stimulation with a threshold of t &gt; 1.96 (p &lt; 0.05). Performance tests revealed that mechanical stimulation (averaged force: 31.69 g) was applied with a delay of 12 ms. Phantom experiments confirmed that there was no significant difference in the tSNR among three (10 Hz, 1 Hz, and no-stimulus) conditions (F (2, 798) = 0.71, p = 0.49). The CBV activity results showed that the stimulator successfully elicited hand and forearm somatosensory activations in primary somatosensory areas. These results indicated that the device is well suited for small-bodied animal somatosensory studies.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">primary somatosensory cortex</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">small-bodied animals</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">tactile stimulation device</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ultrahigh-field magnetic resonance imaging</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山大学大学院ヘルスシステム統合科学研究科</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2436-3227</Issn>
      <Volume>5</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>第16回 高度医療都市を創出する未来技術国際シンポジウム</ArticleTitle>
    <FirstPage LZero="delete">35</FirstPage>
    <LastPage>37</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>YANG</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi">10.18926/interdisciplinary/68624</ArticleId>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>MDPI</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2076-328X</Issn>
      <Volume>15</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>The Impact of Task Context on Pleasantness and Softness Estimations: A Study Based on Three Touch Strategies</ArticleTitle>
    <FirstPage LZero="delete">63</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Binyue</FirstName>
        <LastName>Gao</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>This study investigated the two distinct perceptions (pleasantness and softness) of deformable stimuli with different degrees of compliance under conditions with and without a contextual task. Three tactile strategies-grasping, pinching, and pressing-were used to perceive the stimuli. In Experiment 1 (without a contextual task), participants estimated the perceived intensity of softness or pleasantness for each stimulus. In Experiment 2 (with a contextual task), the participants sequentially perceived two stimuli with different compliance levels and indicated which stimulus they perceived as softer and pleasant. The results showed that the psychophysical relationship between compliance and perceived softness was consistent across all tactile strategies in both experiments, with softness estimates increasing as compliance increased. However, the relationship between compliance and pleasantness differed between the two experiments. In Experiment 1, pleasantness estimates increased monotonically with increased compliance. However, in Experiment 2, across all tactile strategies, pleasantness began to decrease within the compliance range of 0.25-2.0 cm2/N, exhibiting an inverted U-shaped trend. These findings indicate that the relationship between compliance and pleasantness is task-dependent, particularly demonstrating significantly different trends when a contextual task is introduced. In contrast, the relationship between compliance and softness remained consistently monotonic.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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      <Object Type="keyword">
        <Param Name="value">pleasantness</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">softness</Param>
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      <Object Type="keyword">
        <Param Name="value">touch strategy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">task context</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">psychophysics</Param>
      </Object>
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    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>MDPI</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2076-3425</Issn>
      <Volume>14</Volume>
      <Issue>12</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>The Impact of Selective Spatial Attention on Auditory-Tactile Integration: An Event-Related Potential Study</ArticleTitle>
    <FirstPage LZero="delete">1258</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Weichao</FirstName>
        <LastName>An</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Nan</FirstName>
        <LastName>Zhang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shengnan</FirstName>
        <LastName>Li</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background: Auditory-tactile integration is an important research area in multisensory integration. Especially in special environments (e.g., traffic noise and complex work environments), auditory-tactile integration is crucial for human response and decision making. We investigated the influence of attention on the temporal course and spatial distribution of auditory-tactile integration. Methods: Participants received auditory stimuli alone, tactile stimuli alone, and simultaneous auditory and tactile stimuli, which were randomly presented on the left or right side. For each block, participants attended to all stimuli on the designated side and detected uncommon target stimuli while ignoring all stimuli on the other side. Event-related potentials (ERPs) were recorded via 64 scalp electrodes. Integration was quantified by comparing the response to the combined stimulus to the sum of the responses to the auditory and tactile stimuli presented separately. Results: The results demonstrated that compared to the unattended condition, integration occurred earlier and involved more brain regions in the attended condition when the stimulus was presented in the left hemispace. The unattended condition involved a more extensive range of brain regions and occurred earlier than the attended condition when the stimulus was presented in the right hemispace. Conclusions: Attention can modulate auditory-tactile integration and show systematic differences between the left and right hemispaces. These findings contribute to the understanding of the mechanisms of auditory-tactile information processing in the human brain.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">auditory-tactile integration</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">selective spatial attention</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">event-related potential</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">left-right hemispace differences</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">spatiotemporal distribution</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>MDPI</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2076-3425</Issn>
      <Volume>14</Volume>
      <Issue>12</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Contributions of the Primary Sensorimotor Cortex and Posterior Parietal Cortex to Motor Learning and Transfer</ArticleTitle>
    <FirstPage LZero="delete">1184</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Chenyu</FirstName>
        <LastName>Wang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background: Transferring learned manipulations to new manipulation tasks has enabled humans to realize thousands of dexterous object manipulations in daily life. Two-digit grasp and three-digit grasp manipulations require different fingertip forces, and our brain can switch grasp types to ensure good performance according to motor memory. We hypothesized that several brain areas contribute to the execution of the new type of motor according to the motor memory. However, the motor memory mechanisms during this transfer period are still unclear. In the present functional magnetic resonance imaging (fMRI) study, we aimed to investigate the cortical mechanisms involved in motor memory during the transfer phase of learned manipulation tasks. Methods: Using a custom-built T-shaped object with an adjustable weight distribution, the participants performed grasp and lift manipulation tasks under different conditions to simulate the learning and transfer phases. The learning phase consisted of four grasp-and-lift repetitions with one motor type, followed by a transfer phase with four repetitions involving different motors (adding or removing a digit). Results: By comparing brain activity in the learning and transfer phases, we identified three regions (the superior frontal gyrus, supramarginal gyrus, and postcentral gyrus) associated with motor memory during the transfer of learned manipulations. Conclusions: Our findings improve the understanding of the role of the posterior parietal cortex in motor memory, highlighting how sensory information from memory and real-time input is integrated to generate novel motor control signals that guide the precise reapplication of control strategies. Furthermore, we believe that these areas contribute to motor learning from motor memory and may serve as key regions of interest for investigating neurodegenerative diseases.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">fMRI</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">motor learning and transfer</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">primary sensorimotor cortex</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">posterior parietal cortex</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>MDPI</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2076-3425</Issn>
      <Volume>14</Volume>
      <Issue>5</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Go/No-Go Ratios Modulate Inhibition-Related Brain Activity: An Event-Related Potential Study</ArticleTitle>
    <FirstPage LZero="delete">414</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Nan</FirstName>
        <LastName>Zhang</LastName>
        <Affiliation>Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Weichao</FirstName>
        <LastName>An</LastName>
        <Affiliation>Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>(1) Background: Response inhibition refers to the conscious ability to suppress behavioral responses, which is crucial for effective cognitive control. Currently, research on response inhibition remains controversial, and the neurobiological mechanisms associated with response inhibition are still being explored. The Go/No-Go task is a widely used paradigm that can be used to effectively assess response inhibition capability. While many studies have utilized equal numbers of Go and No-Go trials, how different ratios affect response inhibition remains unknown; (2) Methods: This study investigated the impact of different ratios of Go and No-Go conditions on response inhibition using the Go/No-Go task combined with event-related potential (ERP) techniques; (3) Results: The results showed that as the proportion of Go trials decreased, behavioral performance in Go trials significantly improved in terms of response time, while error rates in No-Go trials gradually decreased. Additionally, the NoGo-P3 component at the central average electrodes (Cz, C1, C2, FCz, FC1, FC2, PCz, PC1, and PC2) exhibited reduced amplitude and latency; (4) Conclusions: These findings indicate that different ratios in Go/No-Go tasks influence response inhibition, with the brain adjusting processing capabilities and rates for response inhibition. This effect may be related to the brain's predictive mechanism model.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">response inhibition</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ratio</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">go/no-go task</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ERP</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">NoGo-P3 component</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>American Physiological Society</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0022-3077</Issn>
      <Volume>127</Volume>
      <Issue>5</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Tactile angle discriminability improvement: contributions of working memory training and continuous attended sensory input</ArticleTitle>
    <FirstPage LZero="delete">1398</FirstPage>
    <LastPage>1406</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Wu</FirstName>
        <LastName>Wang</LastName>
        <Affiliation>School of Psychological and Cognitive Sciences, Peking University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Huazhi</FirstName>
        <LastName>Li</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yulong</FirstName>
        <LastName>Liu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yiyang</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiabin</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>College of Information Engineering, China Jiliang University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Xiaoyu</FirstName>
        <LastName>Tang</LastName>
        <Affiliation>School of Psychology, Liaoning Collaborative Innovation Center of Children and Adolescents Healthy Personality Assessment and Cultivation, Liaoning Normal University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jingjing</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>School of Computer Science and Technology, Changchun University of Science and Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoshi</FirstName>
        <LastName>Takahashi</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Perceptual learning is commonly assumed to enhance perception through continuous attended sensory input. However, learning is generalizable to performance in untrained stimuli and tasks. Although previous studies have observed a possible generalization effect across tasks as a result of working memory (WM) training, comparisons of the contributions of WM training and continuous attended sensory input to perceptual learning generalization are still rare. Therefore, we compared which factors contributed most to perceptual generalization and investigated which skills acquired during WM training led to tactile generalization across tasks. Here, a Braille-like dot pattern matching n-back WM task was used as the WM training task, with four workload levels (0, 1, 2, and 3-back levels). A tactile angle discrimination (TAD) task was used as a pre- and posttest to assess improvements in tactile perception. Between tests, four subject groups were randomly assigned to four different workload n-back tasks to consecutively complete three sessions of training. The results showed that tactile n-back WM training could enhance TAD performance, with the 3-back training group having the highest TAD threshold improvement rate. Furthermore, the rate of WM capacity improvement on the 3-back level across training sessions was correlated with the rate of TAD threshold improvement. These findings suggest that continuous attended sensory input and enhanced WM capacity can lead to improvements in TAD ability, and that greater improvements in WM capacity can predict greater improvements in TAD performance.&lt;br&gt;
NEW &amp; NOTEWORTHY Perceptual learning is not always specific to the trained task and stimuli. We demonstrate that both continuous attended sensory input and improved WM capacity can be used to enhance tactile angle discrimination (TAD) ability. Moreover, WM capacity improvement is important in generalizing the training effect to the TAD ability. These findings contribute to understanding the mechanism of perceptual learning generalization across tasks.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">continuous attended sensory input</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">perceptual learning</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">tactile angle discriminability</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">tactile generalization</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">working memory training</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Springer Science and Business Media LLC</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0014-4819</Issn>
      <Volume>240</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Global surface features contribute to human haptic roughness estimations</ArticleTitle>
    <FirstPage LZero="delete">773</FirstPage>
    <LastPage>789</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Huazhi</FirstName>
        <LastName>Li</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Wu</FirstName>
        <LastName>Wang</LastName>
        <Affiliation>School of Psychological and Cognitive Sciences, Peking University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yulong</FirstName>
        <LastName>Liu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mengni</FirstName>
        <LastName>Zhou</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Qingqing</FirstName>
        <LastName>Li</LastName>
        <Affiliation>Department of Teacher Education, Wenzhou University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jingjing</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>School of Computer Science and Technology, Changchun University of Science and Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shiping</FirstName>
        <LastName>Shao</LastName>
        <Affiliation>School of Social Welfare, Yonsei University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoshi</FirstName>
        <LastName>Takahashi</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Previous studies have paid special attention to the relationship between local features (e.g., raised dots) and human roughness perception. However, the relationship between global features (e.g., curved surface) and haptic roughness perception is still unclear. In the present study, a series of roughness estimation experiments was performed to investigate how global features affect human roughness perception. In each experiment, participants were asked to estimate the roughness of a series of haptic stimuli that combined local features (raised dots) and global features (sinusoidal-like curves). Experiments were designed to reveal whether global features changed their haptic roughness estimation. Furthermore, the present study tested whether the exploration method (direct, indirect, and static) changed haptic roughness estimations and examined the contribution of global features to roughness estimations. The results showed that sinusoidal-like curved surfaces with small periods were perceived to be rougher than those with large periods, while the direction of finger movement and indirect exploration did not change this phenomenon. Furthermore, the influence of global features on roughness was modulated by local features, regardless of whether raised-dot surfaces or smooth surfaces were used. Taken together, these findings suggested that an object’s global features contribute to haptic roughness perceptions, while local features change the weight of the contribution that global features make to haptic roughness perceptions.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Haptic roughness perception</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Raised-dot surface</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Local feature</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Global feature</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>MDPI</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2076-3425</Issn>
      <Volume>13</Volume>
      <Issue>7</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2023</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Audiovisual n-Back Training Alters the Neural Processes of Working Memory and Audiovisual Integration: Evidence of Changes in ERPs</ArticleTitle>
    <FirstPage LZero="delete">992</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Ao</FirstName>
        <LastName>Guo</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Weiping</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Department of Psychology, Faculty of Education, Hubei University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Xiangfu</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Department of Psychology, Faculty of Education, Hubei University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinfei</FirstName>
        <LastName>Lin</LastName>
        <Affiliation>Department of Psychology, Faculty of Education, Hubei University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Zimo</FirstName>
        <LastName>Li</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yanna</FirstName>
        <LastName>Ren</LastName>
        <Affiliation>Department of Psychology, College of Humanities and Management, Guizhou University of Traditional Chinese Medicine</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>(1) Background: This study investigates whether audiovisual n-back training leads to training effects on working memory and transfer effects on perceptual processing. (2) Methods: Before and after training, the participants were tested using the audiovisual n-back task (1-, 2-, or 3-back), to detect training effects, and the audiovisual discrimination task, to detect transfer effects. (3) Results: For the training effect, the behavioral results show that training leads to greater accuracy and faster response times. Stronger training gains in accuracy and response time using 3- and 2-back tasks, compared to 1-back, were observed in the training group. Event-related potentials (ERPs) data revealed an enhancement of P300 in the frontal and central regions across all working memory levels after training. Training also led to the enhancement of N200 in the central region in the 3-back condition. For the transfer effect, greater audiovisual integration in the frontal and central regions during the post-test rather than pre-test was observed at an early stage (80-120 ms) in the training group. (4) Conclusion: Our findings provide evidence that audiovisual n-back training enhances neural processes underlying a working memory and demonstrate a positive influence of higher cognitive functions on lower cognitive functions.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">audiovisual n-back</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">training</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">audiovisual integration</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ERPs</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">training effect</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">transfer effect</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Frontiers in Psychology</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1664-1078</Issn>
      <Volume>14</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2023</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Auditory affective content facilitates time-to-contact estimation of visual affective targets</ArticleTitle>
    <FirstPage LZero="delete">1105824</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Feifei</FirstName>
        <LastName>Lu</LastName>
        <Affiliation>Department of Psychology, Research Center for Psychology and Behavioral Sciences, Soochow  University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">You</FirstName>
        <LastName>Li</LastName>
        <Affiliation>College of Chinese Language and Culture, Jinan University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Applied Brain Science Lab, Faculty of Interdisciplinary Science and Engineering in Health  Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Aijun</FirstName>
        <LastName>Wang</LastName>
        <Affiliation>Department of Psychology, Research Center for Psychology and Behavioral Sciences, Soochow  University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ming</FirstName>
        <LastName>Zhang</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School  of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Reacting to a moving object requires an ability to estimate when a moving object reaches its destination, also referred to as the time-to-contact (TTC) estimation. Although the TTC estimation of threatening visually moving objects is known to be underestimated, the effect of the affective content of auditory information on visual TTC estimation remains unclear. We manipulated the velocity and presentation time to investigate the TTC of a threat or non-threat target with the addition of auditory information. In the task, a visual or an audiovisual target moved from right to left and disappeared behind an occluder. Participants' task was to estimate the TTC of the target, they needed to press a button when they thought that the target contacted a destination behind the occluder. Behaviorally, the additional auditory affective content facilitated TTC estimation; velocity was a more critical factor than presentation time in determining the audiovisual threat facilitation effect. Overall, the results indicate that exposure to auditory affective content can influence TTC estimation and that the effect of velocity on TTC estimation will provide more information than presentation time.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">time-to-contact (TTC) estimation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">threat</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">audiovisual integration</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">velocity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">presentation time</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Frontiers Media SA</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1664-1078</Issn>
      <Volume>13</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Subliminal meaning-contingent attentional orienting: The role of attentional control setting based on displaywide features</ArticleTitle>
    <FirstPage LZero="delete">1035690</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Huiyuan</FirstName>
        <LastName>Wang</LastName>
        <Affiliation>Department of Psychology, Jilin University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Faculty of Interdisciplinary Science  and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yulin</FirstName>
        <LastName>Gao</LastName>
        <Affiliation>Department of Psychology, Jilin University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ming</FirstName>
        <LastName>Zhang</LastName>
        <Affiliation>Faculty of Interdisciplinary Science  and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>People's subjective factors can affect the spatial allocation of attention, and objects that are more in line with people's expectations are easier to attract attention. In the current study, we wanted to know whether the meaning-contingent spatial attentional orienting could occur at the subliminal level, that is, whether conscious awareness was needed, and which attentional control settings worked. The current study employed a modified spatial cueing paradigm and the cues were made imperceptible by backward masking. The results showed that the capture effects of the left and the right positions stemmed from the meaning-contingent attentional control setting based on displaywide features, while the inhibition effect of the lower position and the capture effect of the upper position stemmed from the abrupt onset of subliminal cues and their masks. It is concluded that the attentional orienting of meaning contingency could occur at the subliminal level, which was not restricted by conscious perception. In particular, the attentional control setting based on displaywide features played an important role in spatial attentional orienting, which was manifested in the consistent capture effects on the horizontal sides. This study refined and separated the spatial attentional orienting effects, supported the contingent involuntary attentional orienting hypothesis, and expanded its scope of application.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">subliminal</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">meaning contingency</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">attentional orienting</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">displaywide features</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">attentional control setting</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Academic Press Inc. Elsevier Science</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1053-8119</Issn>
      <Volume>248</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Layer-specific activation in human primary somatosensory cortex during tactile temporal prediction error processing</ArticleTitle>
    <FirstPage LZero="delete">118867</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Laurentius</FirstName>
        <LastName>Huber</LastName>
        <Affiliation>MR-Methods Group, MBIC, Cognitive Neuroscience Department, Faculty of Psychology and Neuroscience, University of Maastricht, Cognitive Neuroscience</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masaki</FirstName>
        <LastName>Fukunaga</LastName>
        <Affiliation>Division of Cerebral Research, National Institute for Physiological Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuhui</FirstName>
        <LastName>Chai</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">David C.</FirstName>
        <LastName>Jangraw</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Gang</FirstName>
        <LastName>Chen</LastName>
        <Affiliation>Scientific and Statistical Computational Core, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Daniel A.</FirstName>
        <LastName>Handwerker</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Peter J.</FirstName>
        <LastName>Molfese</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Norihiro</FirstName>
        <LastName>Sadato</LastName>
        <Affiliation>Division of Cerebral Research, National Institute for Physiological Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Peter A.</FirstName>
        <LastName>Bandettini</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>The human brain continuously generates predictions of incoming sensory input and calculates corresponding prediction errors from the perceived inputs to update internal predictions. In human primary somatosensory cortex (area 3b), different cortical layers are involved in receiving the sensory input and generation of error signals. It remains unknown, however, how the layers in the human area 3b contribute to the temporal prediction error processing. To investigate prediction error representation in the area 3b across layers, we acquired layer specific functional magnetic resonance imaging (fMRI) data at 7T from human area 3b during a task of index finger poking with no-delay, short-delay and long-delay touching sequences. We demonstrate that all three tasks increased activity in both superficial and deep layers of area 3b compared to the random sensory input. The fMRI signal was differentially modulated solely in the deep layers rather than the superficial layers of area 3b by the delay time. Compared with the no-delay stimuli, activity was greater in the deep layers of area 3b during the short delay stimuli but lower during the long-delay stimuli. This difference activity features in the superficial and deep layers suggest distinct functional contributions of area 3b layers to tactile temporal prediction error processing. The functional segregation in area 3b across layers may reflect that the excitatory and inhibitory interplay in the sensory cortex contributions to flexible communication between cortical layers or between cortical areas.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Layer-specific fMRI</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Tactile prediction</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Primary somatosensory cortex</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Temporal prediction error</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">High-resolution CBV-fMRI</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Elsevier BV</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0149-7634</Issn>
      <Volume>128</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2021</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Linking cortical circuit models to human cognition with laminar fMRI</ArticleTitle>
    <FirstPage LZero="delete">467</FirstPage>
    <LastPage>478</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Laurentius</FirstName>
        <LastName>Huber</LastName>
        <Affiliation>MR-Methods Group, Faculty of Psychology and Neuroscience, University of Maastricht</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Peter A.</FirstName>
        <LastName>Bandettini</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Laboratory animal research has provided significant knowledge into the function of cortical circuits at the laminar level, which has yet to be fully leveraged towards insights about human brain function on a similar spatiotemporal scale. The use of functional magnetic resonance imaging (fMRI) in conjunction with neural models provides new opportunities to gain important insights from current knowledge. During the last five years, human studies have demonstrated the value of high-resolution fMRI to study laminar-specific activity in the human brain. This is mostly performed at ultra-high-field strengths (≥ 7 T) and is known as laminar fMRI. Advancements in laminar fMRI are beginning to open new possibilities for studying questions in basic cognitive neuroscience. In this paper, we first review recent methodological advances in laminar fMRI and describe recent human laminar fMRI studies. Then, we discuss how the use of laminar fMRI can help bridge the gap between cortical circuit models and human cognition.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Cortical layers</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value"> Laminar fMRI</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Cortical circuit models</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Human brain function</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Cognition</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>MDPI</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2076-3417</Issn>
      <Volume>11</Volume>
      <Issue>15</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2021</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>A New Method for Haptic Shape Discriminability Detection</ArticleTitle>
    <FirstPage LZero="delete">7049</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yulong</FirstName>
        <LastName>Liu</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yiyang</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Wu</FirstName>
        <LastName>Wang</LastName>
        <Affiliation>The School of Psychological and Cognitive Sciences, Peking University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Huazhi</FirstName>
        <LastName>Li</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoshi</FirstName>
        <LastName>Takahashi</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Qiong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Department of Psychology, Suzhou University of Science and Technology,</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Touch shape discrimination is not only closely related to tactile mechanoreceptors but also higher cognitive function. However, previous shape discrimination methods are difficult to complete in a short time, and the devices are complicated to operate and not user-friendly for nonprofessionals. Here, we propose a new method, the evaluation quantity of which is the angle discrimination threshold. In addition, to make this method easy to use for nonprofessionals, we designed a haptic angle sorting system, including the device and software. To evaluate this method, the angle sorting and two-angle discrimination experiments were compared, and it was found that participants spent significantly less time in the former experiment than in the latter. At the same time, there is a strong correlation between the performance of angle sorting and two-angle discrimination, which shows that the angle threshold obtained by the new method can also be used to evaluate the ability of touch discrimination. Moreover, the angle sorting results of different age groups also further demonstrate the feasibility of the method. The efficiency of this new method and the effectiveness of the system also provide a convenient means for evaluating haptic shape discrimination, which may have potential clinical application value in the early diagnosis of peripheral neuropathy and even in the evaluation of cognitive function.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">haptic angle discrimination</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">angle sort</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">discrimination threshold</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">haptic device</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">human haptics</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Academic Press Inc Elsevier Science</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1053-8119</Issn>
      <Volume>231</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2021</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Different activation signatures in the primary sensorimotor and higher-level regions for haptic three-dimensional curved surface exploration</ArticleTitle>
    <FirstPage LZero="delete">117754</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Peter J.</FirstName>
        <LastName>Molfese</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Daniel A.</FirstName>
        <LastName>Handwerker</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Gang</FirstName>
        <LastName>Chen</LastName>
        <Affiliation>Scientific and Statistical Computational Core, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Paul A.</FirstName>
        <LastName>Taylor</LastName>
        <Affiliation>Scientific and Statistical Computational Core, National Institute of Mental Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Peter A.</FirstName>
        <LastName>Bandettini</LastName>
        <Affiliation>Section on Functional Imaging Methods, National Institute of Mental Health</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Haptic object perception begins with continuous exploratory contact, and the human brain needs to accumulate sensory information continuously over time. However, it is still unclear how the primary sensorimotor cortex (PSC) interacts with these higher-level regions during haptic exploration over time. This functional magnetic resonance imaging (fMRI) study investigates time-dependent haptic object processing by examining brain activity during haptic 3D curve and roughness estimations. For this experiment, we designed sixteen haptic stimuli (4 kinds of curves x 4 varieties of roughness) for the haptic curve and roughness estimation tasks. Twenty participants were asked to move their right index and middle fingers along the surface twice and to estimate one of the two features -roughness or curvature -depending on the task instruction. We found that the brain activity in several higher-level regions (e.g., the bilateral posterior parietal cortex) linearly increased as the number of curves increased during the haptic exploration phase. Surprisingly, we found that the contralateral PSC was parametrically modulated by the number of curves only during the late exploration phase but not during the early exploration phase. In contrast, we found no similar parametric modulation activity patterns during the haptic roughness estimation task in either the contralateral PSC or in higher-level regions. Thus, our findings suggest that haptic 3D object perception is processed across the cortical hierarchy, whereas the contralateral PSC interacts with other higher-level regions across time in a manner that is dependent upon the features of the object.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Haptic object perception</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Primary somatosensory cortex</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Primary motor cortex</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">fMRI</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Parametric modulation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Cortical hierarchy</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>SAGE Publications</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2041-6695</Issn>
      <Volume>11</Volume>
      <Issue>6</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2020</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Semantic Congruency Modulates the Effect of Attentional Load on the Audiovisual Integration of Animate Images and Sounds</ArticleTitle>
    <FirstPage LZero="delete">2041669520981096</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Qingqing</FirstName>
        <LastName>Li</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Qiong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Department of Psychology, Suzhou University of Science and Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yiyang</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Fengxia</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoshi</FirstName>
        <LastName>Takahashi</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Attentional processes play a complex and multifaceted role in the integration of input from different sensory modalities. However, whether increased attentional load disrupts the audiovisual (AV) integration of common objects that involve semantic content remains unclear. Furthermore, knowledge regarding how semantic congruency interacts with attentional load to influence the AV integration of common objects is limited. We investigated these questions by examining AV integration under various attentional-load conditions. AV integration was assessed by adopting an animal identification task using unisensory (animal images and sounds) and AV stimuli (semantically congruent AV objects and semantically incongruent AV objects), while attentional load was manipulated by using a rapid serial visual presentation task. Our results indicate that attentional load did not attenuate the integration of semantically congruent AV objects. However, semantically incongruent animal sounds and images were not integrated (as there was no multisensory facilitation), and the interference effect produced by the semantically incongruent AV objects was reduced by increased attentional-load manipulations. These findings highlight the critical role of semantic congruency in modulating the effect of attentional load on the AV integration of common objects.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">audiovisual integration</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">common object</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">attentional load</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">semantic congruency</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">dual-task paradigm</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Frontiers Media</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1662-5196</Issn>
      <Volume>14</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2021</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Stimulus Intervals Modulate the Balance of Brain Activity in the Human Primary Somatosensory Cortex: An ERP Study</ArticleTitle>
    <FirstPage LZero="delete">571369</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yang</FirstName>
        <LastName>Liu</LastName>
        <Affiliation>Department of Psychology, Suzhou University of Science and Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Bo</FirstName>
        <LastName>Dong</LastName>
        <Affiliation>Department of Psychology, Suzhou University of Science and Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Qiong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ming</FirstName>
        <LastName>Zhang</LastName>
        <Affiliation>Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
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    <Abstract>Neuronal excitation and inhibition occur in the brain at the same time, and brain activation reflects changes in the sum of excitation and inhibition. This principle has been well-established in lower-level sensory systems, including vision and touch, based on animal studies. However, it is unclear how the somatosensory system processes the balance between excitation and inhibition. In the present ERP study, we modified the traditional spatial attention paradigm by adding double stimuli presentations at short intervals (i.e., 10, 30, and 100 ms). Seventeen subjects participated in the experiment. Five types of stimulation were used in the experiment: a single stimulus (one raised pin for 40 ms), standard stimulus (eight pins for 40 ms), and double stimuli presented at intervals of 10, 30, and 100 ms. The subjects were asked to attend to a particular finger and detect whether the standard stimulus was presented to that finger. The results showed a clear attention-related ERP component in the single stimulus condition, but the suppression components associated with the three interval conditions seemed to be dominant in somatosensory areas. In particular, we found the strongest suppression effect in the ISI-30 condition (interval of 30 ms) and that the suppression and enhancement effects seemed to be counterbalanced in both the ISI-10 and ISI-100 conditions (intervals of 10 and 100 ms, respectively). This type of processing may allow humans to easily discriminate between multiple stimuli on the same body part.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">traditional spatial attention paradigm</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ERP</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">interstimulus interval</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">enhancement and suppression</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">primary somatosensory cortex</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Wiley</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2162-3279</Issn>
      <Volume>11</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2021</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Functional heterogeneity in the left lateral posterior parietal cortex during visual and haptic crossmodal dot-surface matching</ArticleTitle>
    <FirstPage LZero="delete">e02033</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yinghua</FirstName>
        <LastName>Yu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiroaki</FirstName>
        <LastName>Shigemasu</LastName>
        <Affiliation>Kochi University of Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiroshi</FirstName>
        <LastName>Kadota</LastName>
        <Affiliation>Kochi University of Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kiyoshi</FirstName>
        <LastName>Nakahara</LastName>
        <Affiliation>Kochi University of Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takanori</FirstName>
        <LastName>Kochiyama</LastName>
        <Affiliation>ATR Brain Activity Imaging Center</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background&lt;/br&gt;
Vision and touch are thought to contribute information to object perception in an independent but complementary manner. The left lateral posterior parietal cortex (LPPC) has long been associated with multisensory information processing, and it plays an important role in visual and haptic crossmodal information retrieval. However, it remains unclear how LPPC subregions are involved in visuo‐haptic crossmodal retrieval processing.&lt;/br&gt;
Methods&lt;/br&gt;
In the present study, we used an fMRI experiment with a crossmodal delayed match‐to‐sample paradigm to reveal the functional role of LPPC subregions related to unimodal and crossmodal dot‐surface retrieval.&lt;/br&gt;
Results&lt;/br&gt;
The visual‐to‐haptic condition enhanced the activity of the left inferior parietal lobule relative to the haptic unimodal condition, whereas the inverse condition enhanced the activity of the left superior parietal lobule. By contrast, activation of the left intraparietal sulcus did not differ significantly between the crossmodal and unimodal conditions. Seed‐based resting connectivity analysis revealed that these three left LPPC subregions engaged distinct networks, confirming their different functions in crossmodal retrieval processing.&lt;/br&gt;
Conclusion&lt;/br&gt;
Taken together, the findings suggest that functional heterogeneity of the left LPPC during visuo‐haptic crossmodal dot‐surface retrieval processing reflects that the left LPPC does not simply contribute to retrieval of past information; rather, each subregion has a specific functional role in resolving different task requirements.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">crossmodal processing</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">fMRI</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">haptic dot-surface matching</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">lateral posterior parietal cortex</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">memory retrieval</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>American Physiological Society</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0022-3077</Issn>
      <Volume>122</Volume>
      <Issue>5</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2019</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Tactile angle discriminability improvement: roles of training time intervals and different types of training tasks</ArticleTitle>
    <FirstPage LZero="delete">1918</FirstPage>
    <LastPage>1927</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Wu</FirstName>
        <LastName>Wang</LastName>
        <Affiliation>Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiajia</FirstName>
        <LastName>Yang</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Qiong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jiabin</FirstName>
        <LastName>Yu</LastName>
        <Affiliation> Graduate School of Natural Science and Technology, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoshi</FirstName>
        <LastName>Takahashi</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshimichi</FirstName>
        <LastName>Ejima</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jinglong</FirstName>
        <LastName>Wu</LastName>
        <Affiliation>Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Perceptual learning, which is not limited to sensory modalities such as vision and touch, emerges within a training session and between training sessions and is accompanied by the remodeling of neural connections in the cortex. However, limited knowledge exists regarding perceptual learning between training sessions. Although tactile studies have paid attention to between-session learning effects, there have been few studies asking fundamental questions regarding whether the time interval between training sessions affects tactile perceptual learning and generalization across tactile tasks. We investigated the effects of different training time intervals on the consecutive performance of a tactile angle discrimination (AD) task and a tactile orientation discrimination (OD) task training on tactile angle discriminability. The results indicated that in the short-interval training group, AD task performance significantly improved in the early stage of learning and nearly plateaued in the later stage, whereas in the long-interval training group, significant improvement was delayed and then also nearly plateaued in the later stage; additionally, improved OD task performance resulted in improved AD task performance. These findings suggest that training time interval affects the early stage of learning but not the later stage and that generalization occurs between different types of tactile tasks.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">between-session learning</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">generalization</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">tactile angle discriminability</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">training time interval</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
</ArticleSet>
