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