start-ver=1.4
cd-journal=joma
no-vol=135
cd-vols=
no-issue=4
article-no=
start-page=747
end-page=759
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2026
dt-pub=20260401
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Characteristics of cross-modal negative BOLD responses in the human sensory subcortex and cortex
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.<br>
NEW & 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.
en-copyright=
kn-copyright=

en-aut-name=MiyataToshikazu
en-aut-sei=Miyata
en-aut-mei=Toshikazu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FukunagaMasaki
en-aut-sei=Fukunaga
en-aut-mei=Masaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=LuoJunxiang
en-aut-sei=Luo
en-aut-mei=Junxiang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=YokoiIsao
en-aut-sei=Yokoi
en-aut-mei=Isao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=YamamotoTetsuya
en-aut-sei=Yamamoto
en-aut-mei=Tetsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=YoshiokaAyumi
en-aut-sei=Yoshioka
en-aut-mei=Ayumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=MoritaTomoyo
en-aut-sei=Morita
en-aut-mei=Tomoyo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=TakemuraHiromasa
en-aut-sei=Takemura
en-aut-mei=Hiromasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

affil-num=1
en-affil=Division of Sensory and Cognitive Brain Mapping, Department of System Neuroscience, National Institute for Physiological Sciences
kn-affil=

affil-num=2
en-affil=Section of Brain Function Information, National Institute for Physiological Sciences
kn-affil=

affil-num=3
en-affil=Division of Sensory and Cognitive Brain Mapping, Department of System Neuroscience, National Institute for Physiological Sciences
kn-affil=

affil-num=4
en-affil=National Institute for Physiological Sciences
kn-affil=

affil-num=5
en-affil=Section of Brain Function Information, National Institute for Physiological Sciences
kn-affil=

affil-num=6
en-affil=Section of Brain Function Information, National Institute for Physiological Sciences
kn-affil=

affil-num=7
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=8
en-affil=Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT)
kn-affil=

affil-num=9
en-affil=Division of Sensory and Cognitive Brain Mapping, Department of System Neuroscience, National Institute for Physiological Sciences
kn-affil=
en-keyword=auditory system
kn-keyword=auditory system
en-keyword=cross-modal
kn-keyword=cross-modal
en-keyword=functional MRI
kn-keyword=functional MRI
en-keyword=visual system
kn-keyword=visual system
END

start-ver=1.4
cd-journal=joma
no-vol=194
cd-vols=
no-issue=
article-no=
start-page=50
end-page=62
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2026
dt-pub=202601
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Increasing visual uncertainty modulates multisensory decision-making
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=YangXiangfu
en-aut-sei=Yang
en-aut-mei=Xiangfu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YangWeiping
en-aut-sei=Yang
en-aut-mei=Weiping
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Psychology, Faculty of Education, Hubei University
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=Multisensory decision-making
kn-keyword=Multisensory decision-making
en-keyword=Visual uncertainty
kn-keyword=Visual uncertainty
en-keyword=Audiovisual integration
kn-keyword=Audiovisual integration
en-keyword=Event-related potential
kn-keyword=Event-related potential
en-keyword=Drift?diffusion model
kn-keyword=Drift?diffusion model
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=11
article-no=
start-page=1178
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20251030
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Sensory Modality-Dependent Interplay Between Updating and Inhibition Under Increased Working Memory Load: An ERP Study
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=LuoYuxi
en-aut-sei=Luo
en-aut-mei=Yuxi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=GuoAo
en-aut-sei=Guo
en-aut-mei=Ao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Psychology, Institute of Education, China West Normal University
kn-affil=

affil-num=3
en-affil=Faculty of Biomedical Engineering, Shenzhen University of Advanced Technology
kn-affil=

affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=workingmemory load
kn-keyword=workingmemory load
en-keyword=attentional resource allocation
kn-keyword=attentional resource allocation
en-keyword=modality-specific interference
kn-keyword=modality-specific interference
en-keyword=inhibitory control
kn-keyword=inhibitory control
en-keyword=executive function
kn-keyword=executive function
en-keyword=sensory modality
kn-keyword=sensory modality
END

start-ver=1.4
cd-journal=joma
no-vol=19
cd-vols=
no-issue=
article-no=
start-page=1599114
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250519
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Effects of visual spatial frequency on audiovisual interaction: an event-related potential study
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=WuFengxia
en-aut-sei=Wu
en-aut-mei=Fengxia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=RenYanna
en-aut-sei=Ren
en-aut-mei=Yanna
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=HaoTengfei
en-aut-sei=Hao
en-aut-mei=Tengfei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=YangJingjing
en-aut-sei=Yang
en-aut-mei=Jingjing
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=WuQiong
en-aut-sei=Wu
en-aut-mei=Qiong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=WangMeng
en-aut-sei=Wang
en-aut-mei=Meng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=School of Artificial Intelligence, Changchun University of Science and Technology
kn-affil=

affil-num=2
en-affil=Department of Psychology, College of Humanities and Management, Guizhou University of Traditional Chinese Medicine
kn-affil=

affil-num=3
en-affil=School of Artificial Intelligence, Changchun University of Science and Technology
kn-affil=

affil-num=4
en-affil=School of Artificial Intelligence, Changchun University of Science and Technology
kn-affil=

affil-num=5
en-affil=Department of Psychology, Suzhou University of Science and Technology
kn-affil=

affil-num=6
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=7
en-affil=School of Artificial Intelligence, Changchun University of Science and Technology
kn-affil=
en-keyword=spatial frequency
kn-keyword=spatial frequency
en-keyword=visual orientation discrimination
kn-keyword=visual orientation discrimination
en-keyword=audiovisual integration
kn-keyword=audiovisual integration
en-keyword=early sensory stage
kn-keyword=early sensory stage
en-keyword=late cognitive stage
kn-keyword=late cognitive stage
en-keyword=event-related potentials
kn-keyword=event-related potentials
END

start-ver=1.4
cd-journal=joma
no-vol=38
cd-vols=
no-issue=9
article-no=
start-page=e70105
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250724
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Ultrahigh‐Field MR‐Compatible Mechanical Tactile Stimulator for Investigating Somatosensory Processing in Small‐Bodied Animals
en-subtitle=
kn-subtitle=
en-abstract=
kn-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 > 1.96 (p < 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.
en-copyright=
kn-copyright=

en-aut-name=WangChenyu
en-aut-sei=Wang
en-aut-mei=Chenyu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=ImaiHirohiko
en-aut-sei=Imai
en-aut-mei=Hirohiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FukunagaMasaki
en-aut-sei=Fukunaga
en-aut-mei=Masaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=YamamotoHiroki
en-aut-sei=Yamamoto
en-aut-mei=Hiroki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=SekiKazuhiko
en-aut-sei=Seki
en-aut-mei=Kazuhiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=HanakawaTakashi
en-aut-sei=Hanakawa
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=UmedaTatsuya
en-aut-sei=Umeda
en-aut-mei=Tatsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Innovation Research Center for Quantum Medicine, Gifu University School of Medicine
kn-affil=

affil-num=3
en-affil=Section of Brain Function Information, National Institute for Physiological Sciences
kn-affil=

affil-num=4
en-affil=Graduate School of Human and Environmental Studies, Kyoto University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Neurophysiology, National Center of Neurology and Psychiatry
kn-affil=

affil-num=7
en-affil=Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine
kn-affil=

affil-num=8
en-affil=Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine
kn-affil=

affil-num=9
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=primary somatosensory cortex
kn-keyword=primary somatosensory cortex
en-keyword=small-bodied animals
kn-keyword=small-bodied animals
en-keyword=tactile stimulation device
kn-keyword=tactile stimulation device
en-keyword=ultrahigh-field magnetic resonance imaging
kn-keyword=ultrahigh-field magnetic resonance imaging
END

start-ver=1.4
cd-journal=joma
no-vol=5
cd-vols=
no-issue=
article-no=
start-page=35
end-page=37
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250331
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=The 16th International Symposium for Future Technology Creating Better Human Health and Society
kn-title=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
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=

en-aut-name=YANGJiajia
en-aut-sei=YANG
en-aut-mei=Jiajia
kn-aut-name=楊家家
kn-aut-sei=楊
kn-aut-mei=家家
aut-affil-num=1
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=岡??学学術研究院ヘルスシステム統合科学学域
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=1
article-no=
start-page=63
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250113
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The Impact of Task Context on Pleasantness and Softness Estimations: A Study Based on Three Touch Strategies
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=GaoBinyue
en-aut-sei=Gao
en-aut-mei=Binyue
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=pleasantness
kn-keyword=pleasantness
en-keyword=softness
kn-keyword=softness
en-keyword=touch strategy
kn-keyword=touch strategy
en-keyword=task context
kn-keyword=task context
en-keyword=psychophysics
kn-keyword=psychophysics
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=12
article-no=
start-page=1258
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241215
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The Impact of Selective Spatial Attention on Auditory-Tactile Integration: An Event-Related Potential Study
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=AnWeichao
en-aut-sei=An
en-aut-mei=Weichao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=ZhangNan
en-aut-sei=Zhang
en-aut-mei=Nan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=LiShengnan
en-aut-sei=Li
en-aut-mei=Shengnan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=auditory-tactile integration
kn-keyword=auditory-tactile integration
en-keyword=selective spatial attention
kn-keyword=selective spatial attention
en-keyword=event-related potential
kn-keyword=event-related potential
en-keyword=left-right hemispace differences
kn-keyword=left-right hemispace differences
en-keyword=spatiotemporal distribution
kn-keyword=spatiotemporal distribution
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=12
article-no=
start-page=1184
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241126
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Contributions of the Primary Sensorimotor Cortex and Posterior Parietal Cortex to Motor Learning and Transfer
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=WangChenyu
en-aut-sei=Wang
en-aut-mei=Chenyu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=fMRI
kn-keyword=fMRI
en-keyword=motor learning and transfer
kn-keyword=motor learning and transfer
en-keyword=primary sensorimotor cortex
kn-keyword=primary sensorimotor cortex
en-keyword=posterior parietal cortex
kn-keyword=posterior parietal cortex
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=5
article-no=
start-page=414
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240424
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Go/No-Go Ratios Modulate Inhibition-Related Brain Activity: An Event-Related Potential Study
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=ZhangNan
en-aut-sei=Zhang
en-aut-mei=Nan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=AnWeichao
en-aut-sei=An
en-aut-mei=Weichao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=response inhibition
kn-keyword=response inhibition
en-keyword=ratio
kn-keyword=ratio
en-keyword=go/no-go task
kn-keyword=go/no-go task
en-keyword=ERP
kn-keyword=ERP
en-keyword=NoGo-P3 component
kn-keyword=NoGo-P3 component
END

start-ver=1.4
cd-journal=joma
no-vol=127
cd-vols=
no-issue=5
article-no=
start-page=1398
end-page=1406
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20220509
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Tactile angle discriminability improvement: contributions of working memory training and continuous attended sensory input
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.<br>
NEW & 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.
en-copyright=
kn-copyright=

en-aut-name=WangWu
en-aut-sei=Wang
en-aut-mei=Wu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=LiHuazhi
en-aut-sei=Li
en-aut-mei=Huazhi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=LiuYulong
en-aut-sei=Liu
en-aut-mei=Yulong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=YuYiyang
en-aut-sei=Yu
en-aut-mei=Yiyang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=YuJiabin
en-aut-sei=Yu
en-aut-mei=Jiabin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=TangXiaoyu
en-aut-sei=Tang
en-aut-mei=Xiaoyu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=YangJingjing
en-aut-sei=Yang
en-aut-mei=Jingjing
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=TakahashiSatoshi
en-aut-sei=Takahashi
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=

affil-num=1
en-affil=School of Psychological and Cognitive Sciences, Peking University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=7
en-affil=College of Information Engineering, China Jiliang University
kn-affil=

affil-num=8
en-affil=School of Psychology, Liaoning Collaborative Innovation Center of Children and Adolescents Healthy Personality Assessment and Cultivation, Liaoning Normal University
kn-affil=

affil-num=9
en-affil=School of Computer Science and Technology, Changchun University of Science and Technology
kn-affil=

affil-num=10
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=11
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=12
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=continuous attended sensory input
kn-keyword=continuous attended sensory input
en-keyword=perceptual learning
kn-keyword=perceptual learning
en-keyword=tactile angle discriminability
kn-keyword=tactile angle discriminability
en-keyword=tactile generalization
kn-keyword=tactile generalization
en-keyword=working memory training
kn-keyword=working memory training
END

start-ver=1.4
cd-journal=joma
no-vol=240
cd-vols=
no-issue=3
article-no=
start-page=773
end-page=789
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20220116
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Global surface features contribute to human haptic roughness estimations
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=LiHuazhi
en-aut-sei=Li
en-aut-mei=Huazhi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WangWu
en-aut-sei=Wang
en-aut-mei=Wu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=LiuYulong
en-aut-sei=Liu
en-aut-mei=Yulong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=ZhouMengni
en-aut-sei=Zhou
en-aut-mei=Mengni
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=LiQingqing
en-aut-sei=Li
en-aut-mei=Qingqing
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=YangJingjing
en-aut-sei=Yang
en-aut-mei=Jingjing
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=ShaoShiping
en-aut-sei=Shao
en-aut-mei=Shiping
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=TakahashiSatoshi
en-aut-sei=Takahashi
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=School of Psychological and Cognitive Sciences, Peking University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=7
en-affil=Department of Teacher Education, Wenzhou University
kn-affil=

affil-num=8
en-affil=School of Computer Science and Technology, Changchun University of Science and Technology
kn-affil=

affil-num=9
en-affil=School of Social Welfare, Yonsei University
kn-affil=

affil-num=10
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=11
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=12
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=Haptic roughness perception
kn-keyword=Haptic roughness perception
en-keyword=Raised-dot surface
kn-keyword=Raised-dot surface
en-keyword=Local feature
kn-keyword=Local feature
en-keyword=Global feature
kn-keyword=Global feature
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=7
article-no=
start-page=992
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230624
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Audiovisual n-Back Training Alters the Neural Processes of Working Memory and Audiovisual Integration: Evidence of Changes in ERPs
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=GuoAo
en-aut-sei=Guo
en-aut-mei=Ao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YangWeiping
en-aut-sei=Yang
en-aut-mei=Weiping
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YangXiangfu
en-aut-sei=Yang
en-aut-mei=Xiangfu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=LinJinfei
en-aut-sei=Lin
en-aut-mei=Jinfei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=LiZimo
en-aut-sei=Li
en-aut-mei=Zimo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=RenYanna
en-aut-sei=Ren
en-aut-mei=Yanna
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

affil-num=1
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Psychology, Faculty of Education, Hubei University
kn-affil=

affil-num=3
en-affil=Department of Psychology, Faculty of Education, Hubei University
kn-affil=

affil-num=4
en-affil=Department of Psychology, Faculty of Education, Hubei University
kn-affil=

affil-num=5
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Psychology, College of Humanities and Management, Guizhou University of Traditional Chinese Medicine
kn-affil=

affil-num=7
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=8
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=audiovisual n-back
kn-keyword=audiovisual n-back
en-keyword=training
kn-keyword=training
en-keyword=audiovisual integration
kn-keyword=audiovisual integration
en-keyword=ERPs
kn-keyword=ERPs
en-keyword=training effect
kn-keyword=training effect
en-keyword=transfer effect
kn-keyword=transfer effect
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=
article-no=
start-page=1105824
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230503
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Auditory affective content facilitates time-to-contact estimation of visual affective targets
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=LuFeifei
en-aut-sei=Lu
en-aut-mei=Feifei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=LiYou
en-aut-sei=Li
en-aut-mei=You
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WangAijun
en-aut-sei=Wang
en-aut-mei=Aijun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=ZhangMing
en-aut-sei=Zhang
en-aut-mei=Ming
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Department of Psychology, Research Center for Psychology and Behavioral Sciences, Soochow  University
kn-affil=

affil-num=2
en-affil=College of Chinese Language and Culture, Jinan University
kn-affil=

affil-num=3
en-affil=Applied Brain Science Lab, Faculty of Interdisciplinary Science and Engineering in Health  Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Psychology, Research Center for Psychology and Behavioral Sciences, Soochow  University
kn-affil=

affil-num=5
en-affil=Cognitive Neuroscience Laboratory, Graduate School  of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=time-to-contact (TTC) estimation
kn-keyword=time-to-contact (TTC) estimation
en-keyword=threat
kn-keyword=threat
en-keyword=audiovisual integration
kn-keyword=audiovisual integration
en-keyword=velocity
kn-keyword=velocity
en-keyword=presentation time
kn-keyword=presentation time
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=
article-no=
start-page=1035690
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20221117
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Subliminal meaning-contingent attentional orienting: The role of attentional control setting based on displaywide features
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=WangHuiyuan
en-aut-sei=Wang
en-aut-mei=Huiyuan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=GaoYulin
en-aut-sei=Gao
en-aut-mei=Yulin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=ZhangMing
en-aut-sei=Zhang
en-aut-mei=Ming
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Department of Psychology, Jilin University
kn-affil=

affil-num=2
en-affil=Faculty of Interdisciplinary Science  and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Psychology, Jilin University
kn-affil=

affil-num=4
en-affil=Faculty of Interdisciplinary Science  and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=subliminal
kn-keyword=subliminal
en-keyword=meaning contingency
kn-keyword=meaning contingency
en-keyword=attentional orienting
kn-keyword=attentional orienting
en-keyword=displaywide features
kn-keyword=displaywide features
en-keyword=attentional control setting
kn-keyword=attentional control setting
END

start-ver=1.4
cd-journal=joma
no-vol=248
cd-vols=
no-issue=
article-no=
start-page=118867
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=202203
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Layer-specific activation in human primary somatosensory cortex during tactile temporal prediction error processing
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=HuberLaurentius
en-aut-sei=Huber
en-aut-mei=Laurentius
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=FukunagaMasaki
en-aut-sei=Fukunaga
en-aut-mei=Masaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=ChaiYuhui
en-aut-sei=Chai
en-aut-mei=Yuhui
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=JangrawDavid C.
en-aut-sei=Jangraw
en-aut-mei=David C.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=ChenGang
en-aut-sei=Chen
en-aut-mei=Gang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=HandwerkerDaniel A.
en-aut-sei=Handwerker
en-aut-mei=Daniel A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=MolfesePeter J.
en-aut-sei=Molfese
en-aut-mei=Peter J.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

en-aut-name=SadatoNorihiro
en-aut-sei=Sadato
en-aut-mei=Norihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=

en-aut-name=BandettiniPeter A.
en-aut-sei=Bandettini
en-aut-mei=Peter A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=MR-Methods Group, MBIC, Cognitive Neuroscience Department, Faculty of Psychology and Neuroscience, University of Maastricht, Cognitive Neuroscience
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Division of Cerebral Research, National Institute for Physiological Sciences
kn-affil=

affil-num=5
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=

affil-num=6
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=

affil-num=7
en-affil=Scientific and Statistical Computational Core, National Institute of Mental Health
kn-affil=

affil-num=8
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=

affil-num=9
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=

affil-num=10
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=11
en-affil=Division of Cerebral Research, National Institute for Physiological Sciences
kn-affil=

affil-num=12
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=13
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=
en-keyword=Layer-specific fMRI
kn-keyword=Layer-specific fMRI
en-keyword=Tactile prediction
kn-keyword=Tactile prediction
en-keyword=Primary somatosensory cortex
kn-keyword=Primary somatosensory cortex
en-keyword=Temporal prediction error
kn-keyword=Temporal prediction error
en-keyword=High-resolution CBV-fMRI
kn-keyword=High-resolution CBV-fMRI
END

start-ver=1.4
cd-journal=joma
no-vol=128
cd-vols=
no-issue=
article-no=
start-page=467
end-page=478
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=20219
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Linking cortical circuit models to human cognition with laminar fMRI
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=HuberLaurentius
en-aut-sei=Huber
en-aut-mei=Laurentius
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=BandettiniPeter A.
en-aut-sei=Bandettini
en-aut-mei=Peter A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=MR-Methods Group, Faculty of Psychology and Neuroscience, University of Maastricht
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=
en-keyword=Cortical layers
kn-keyword=Cortical layers
en-keyword= Laminar fMRI
kn-keyword= Laminar fMRI
en-keyword=Cortical circuit models
kn-keyword=Cortical circuit models
en-keyword=Human brain function
kn-keyword=Human brain function
en-keyword=Cognition
kn-keyword=Cognition
END

start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=15
article-no=
start-page=7049
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=20210730
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A New Method for Haptic Shape Discriminability Detection
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=LiuYulong
en-aut-sei=Liu
en-aut-mei=Yulong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=YuYiyang
en-aut-sei=Yu
en-aut-mei=Yiyang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=WangWu
en-aut-sei=Wang
en-aut-mei=Wu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=LiHuazhi
en-aut-sei=Li
en-aut-mei=Huazhi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=TakahashiSatoshi
en-aut-sei=Takahashi
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=WuQiong
en-aut-sei=Wu
en-aut-mei=Qiong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

affil-num=1
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=5
en-affil=The School of Psychological and Cognitive Sciences, Peking University
kn-affil=

affil-num=6
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=7
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=8
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=9
en-affil=Department of Psychology, Suzhou University of Science and Technology,
kn-affil=

affil-num=10
en-affil=Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
kn-affil=
en-keyword=haptic angle discrimination
kn-keyword=haptic angle discrimination
en-keyword=angle sort
kn-keyword=angle sort
en-keyword=discrimination threshold
kn-keyword=discrimination threshold
en-keyword=haptic device
kn-keyword=haptic device
en-keyword=human haptics
kn-keyword=human haptics
END

start-ver=1.4
cd-journal=joma
no-vol=231
cd-vols=
no-issue=
article-no=
start-page=117754
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=202105
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Different activation signatures in the primary sensorimotor and higher-level regions for haptic three-dimensional curved surface exploration
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=MolfesePeter J.
en-aut-sei=Molfese
en-aut-mei=Peter J.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=HandwerkerDaniel A.
en-aut-sei=Handwerker
en-aut-mei=Daniel A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=ChenGang
en-aut-sei=Chen
en-aut-mei=Gang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=TaylorPaul A.
en-aut-sei=Taylor
en-aut-mei=Paul A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=BandettiniPeter A.
en-aut-sei=Bandettini
en-aut-mei=Peter A.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=

affil-num=3
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=

affil-num=4
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=

affil-num=5
en-affil=Scientific and Statistical Computational Core, National Institute of Mental Health
kn-affil=

affil-num=6
en-affil=Scientific and Statistical Computational Core, National Institute of Mental Health
kn-affil=

affil-num=7
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=8
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=9
en-affil=Section on Functional Imaging Methods, National Institute of Mental Health
kn-affil=
en-keyword=Haptic object perception
kn-keyword=Haptic object perception
en-keyword=Primary somatosensory cortex
kn-keyword=Primary somatosensory cortex
en-keyword=Primary motor cortex
kn-keyword=Primary motor cortex
en-keyword=fMRI
kn-keyword=fMRI
en-keyword=Parametric modulation
kn-keyword=Parametric modulation
en-keyword=Cortical hierarchy
kn-keyword=Cortical hierarchy
END

start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=6
article-no=
start-page=2041669520981096
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2020
dt-pub=20201231
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Semantic Congruency Modulates the Effect of Attentional Load on the Audiovisual Integration of Animate Images and Sounds
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=LiQingqing
en-aut-sei=Li
en-aut-mei=Qingqing
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=WuQiong
en-aut-sei=Wu
en-aut-mei=Qiong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YuYiyang
en-aut-sei=Yu
en-aut-mei=Yiyang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WuFengxia
en-aut-sei=Wu
en-aut-mei=Fengxia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=TakahashiSatoshi
en-aut-sei=Takahashi
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

affil-num=1
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Psychology, Suzhou University of Science and Technology
kn-affil=

affil-num=3
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=7
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=8
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=audiovisual integration
kn-keyword=audiovisual integration
en-keyword=common object
kn-keyword=common object
en-keyword=attentional load
kn-keyword=attentional load
en-keyword=semantic congruency
kn-keyword=semantic congruency
en-keyword=dual-task paradigm
kn-keyword=dual-task paradigm
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=
article-no=
start-page=571369
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=20210127
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Stimulus Intervals Modulate the Balance of Brain Activity in the Human Primary Somatosensory Cortex: An ERP Study
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=LiuYang
en-aut-sei=Liu
en-aut-mei=Yang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=DongBo
en-aut-sei=Dong
en-aut-mei=Bo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=WuQiong
en-aut-sei=Wu
en-aut-mei=Qiong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=ZhangMing
en-aut-sei=Zhang
en-aut-mei=Ming
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=Department of Psychology, Suzhou University of Science and Technology
kn-affil=

affil-num=2
en-affil=Department of Psychology, Suzhou University of Science and Technology
kn-affil=

affil-num=3
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=7
en-affil=Cognitive Neuroscience Laboratory, Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=traditional spatial attention paradigm
kn-keyword=traditional spatial attention paradigm
en-keyword=ERP
kn-keyword=ERP
en-keyword=interstimulus interval
kn-keyword=interstimulus interval
en-keyword=enhancement and suppression
kn-keyword=enhancement and suppression
en-keyword=primary somatosensory cortex
kn-keyword=primary somatosensory cortex
END

start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=3
article-no=
start-page=e02033
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=20210119
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Functional heterogeneity in the left lateral posterior parietal cortex during visual and haptic crossmodal dot-surface matching
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background</br>
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.</br>
Methods</br>
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.</br>
Results</br>
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.</br>
Conclusion</br>
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.
en-copyright=
kn-copyright=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YuYinghua
en-aut-sei=Yu
en-aut-mei=Yinghua
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=ShigemasuHiroaki
en-aut-sei=Shigemasu
en-aut-mei=Hiroaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KadotaHiroshi
en-aut-sei=Kadota
en-aut-mei=Hiroshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=NakaharaKiyoshi
en-aut-sei=Nakahara
en-aut-mei=Kiyoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KochiyamaTakanori
en-aut-sei=Kochiyama
en-aut-mei=Takanori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

affil-num=1
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Kochi University of Technology
kn-affil=

affil-num=4
en-affil=Kochi University of Technology
kn-affil=

affil-num=5
en-affil=Kochi University of Technology
kn-affil=

affil-num=6
en-affil=ATR Brain Activity Imaging Center
kn-affil=

affil-num=7
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=8
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=crossmodal processing
kn-keyword=crossmodal processing
en-keyword=fMRI
kn-keyword=fMRI
en-keyword=haptic dot-surface matching
kn-keyword=haptic dot-surface matching
en-keyword=lateral posterior parietal cortex
kn-keyword=lateral posterior parietal cortex
en-keyword=memory retrieval
kn-keyword=memory retrieval
END

start-ver=1.4
cd-journal=joma
no-vol=122
cd-vols=
no-issue=5
article-no=
start-page=1918
end-page=1927
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2019
dt-pub=20191025
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Tactile angle discriminability improvement: roles of training time intervals and different types of training tasks
en-subtitle=
kn-subtitle=
en-abstract=
kn-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.
en-copyright=
kn-copyright=

en-aut-name=WangWu
en-aut-sei=Wang
en-aut-mei=Wu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YangJiajia
en-aut-sei=Yang
en-aut-mei=Jiajia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=WuQiong
en-aut-sei=Wu
en-aut-mei=Qiong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=YuJiabin
en-aut-sei=Yu
en-aut-mei=Jiabin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=TakahashiSatoshi
en-aut-sei=Takahashi
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=EjimaYoshimichi
en-aut-sei=Ejima
en-aut-mei=Yoshimichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=WuJinglong
en-aut-sei=Wu
en-aut-mei=Jinglong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama
kn-affil=

affil-num=3
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=4
en-affil= Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=

affil-num=7
en-affil=Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
kn-affil=
en-keyword=between-session learning
kn-keyword=between-session learning
en-keyword=generalization
kn-keyword=generalization
en-keyword=tactile angle discriminability
kn-keyword=tactile angle discriminability
en-keyword=training time interval
kn-keyword=training time interval
END