Individual differences in beta-band oscillations predict motor-inhibitory control

ObjectiveThe ability of motor-inhibitory control is critical in daily life. The physiological mechanisms underlying motor inhibitory control deficits remain to be elucidated. Beta band oscillations have been suggested to be related to motor performance, but whether they relate to motor-inhibitory co...

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Main Authors: Qian Ding, Tuo Lin, Guiyuan Cai, Zitong Ou, Shantong Yao, Hongxiang Zhu, Yue Lan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1131862/full
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author Qian Ding
Qian Ding
Qian Ding
Tuo Lin
Guiyuan Cai
Zitong Ou
Shantong Yao
Hongxiang Zhu
Yue Lan
Yue Lan
author_facet Qian Ding
Qian Ding
Qian Ding
Tuo Lin
Guiyuan Cai
Zitong Ou
Shantong Yao
Hongxiang Zhu
Yue Lan
Yue Lan
author_sort Qian Ding
collection DOAJ
description ObjectiveThe ability of motor-inhibitory control is critical in daily life. The physiological mechanisms underlying motor inhibitory control deficits remain to be elucidated. Beta band oscillations have been suggested to be related to motor performance, but whether they relate to motor-inhibitory control remains unclear. This study is aimed at systematically investigating the relationship between beta band oscillations and motor-inhibitory control to determine whether beta band oscillations were related to the ability of motor-inhibitory control.MethodsWe studied 30 healthy young adults (age: 21.6 ± 1.5 years). Stop-signal reaction time (SSRT) was derived from stop signal task, indicating the ability of motor-inhibitory control. Resting-state electroencephalography (EEG) was recorded for 12 min. Beta band power and functional connectivity (including global efficiency) were calculated. Correlations between beta band oscillations and SSRT were performed.ResultsBeta band EEG power in left and right motor cortex (MC), right somatosensory cortex (SC), and right inferior frontal cortex (IFC) was positively correlated with SSRT (P’s = 0.031, 0.021, 0.045, and 0.015, respectively). Beta band coherence between bilateral MC, SC, and IFC was also positively correlated with SSRT (P’s < 0.05). Beta band global efficiency was positively correlated with SSRT (P = 0.01).ConclusionThis is the first study to investigate the relationship between resting-state cortical beta oscillations and response inhibition. Our findings revealed that individuals with better ability of motor inhibitory control tend to have less cortical beta band power and functional connectivity. This study has clinical significance on the underlying mechanisms of motor inhibitory control deficits.
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spelling doaj.art-57972e98c00e47ed98009cb8819cbec02023-03-01T05:52:34ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2023-03-011710.3389/fnins.2023.11318621131862Individual differences in beta-band oscillations predict motor-inhibitory controlQian Ding0Qian Ding1Qian Ding2Tuo Lin3Guiyuan Cai4Zitong Ou5Shantong Yao6Hongxiang Zhu7Yue Lan8Yue Lan9Department of Rehabilitation Medicine, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, Guangdong, ChinaDepartment of Rehabilitation Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, ChinaGuangzhou Key Laboratory of Aging Frailty and Neurorehabilitation, Guangzhou, Guangdong, ChinaDepartment of Rehabilitation Medicine, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, Guangdong, ChinaDepartment of Rehabilitation Medicine, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, Guangdong, ChinaDepartment of Rehabilitation Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, ChinaDepartment of Rehabilitation Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, ChinaDepartment of Rehabilitation Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, ChinaDepartment of Rehabilitation Medicine, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, Guangdong, ChinaGuangzhou Key Laboratory of Aging Frailty and Neurorehabilitation, Guangzhou, Guangdong, ChinaObjectiveThe ability of motor-inhibitory control is critical in daily life. The physiological mechanisms underlying motor inhibitory control deficits remain to be elucidated. Beta band oscillations have been suggested to be related to motor performance, but whether they relate to motor-inhibitory control remains unclear. This study is aimed at systematically investigating the relationship between beta band oscillations and motor-inhibitory control to determine whether beta band oscillations were related to the ability of motor-inhibitory control.MethodsWe studied 30 healthy young adults (age: 21.6 ± 1.5 years). Stop-signal reaction time (SSRT) was derived from stop signal task, indicating the ability of motor-inhibitory control. Resting-state electroencephalography (EEG) was recorded for 12 min. Beta band power and functional connectivity (including global efficiency) were calculated. Correlations between beta band oscillations and SSRT were performed.ResultsBeta band EEG power in left and right motor cortex (MC), right somatosensory cortex (SC), and right inferior frontal cortex (IFC) was positively correlated with SSRT (P’s = 0.031, 0.021, 0.045, and 0.015, respectively). Beta band coherence between bilateral MC, SC, and IFC was also positively correlated with SSRT (P’s < 0.05). Beta band global efficiency was positively correlated with SSRT (P = 0.01).ConclusionThis is the first study to investigate the relationship between resting-state cortical beta oscillations and response inhibition. Our findings revealed that individuals with better ability of motor inhibitory control tend to have less cortical beta band power and functional connectivity. This study has clinical significance on the underlying mechanisms of motor inhibitory control deficits.https://www.frontiersin.org/articles/10.3389/fnins.2023.1131862/fullEEGmotor inhibitory controlbeta-band oscillationsfunctional connectivityglobal efficiency
spellingShingle Qian Ding
Qian Ding
Qian Ding
Tuo Lin
Guiyuan Cai
Zitong Ou
Shantong Yao
Hongxiang Zhu
Yue Lan
Yue Lan
Individual differences in beta-band oscillations predict motor-inhibitory control
Frontiers in Neuroscience
EEG
motor inhibitory control
beta-band oscillations
functional connectivity
global efficiency
title Individual differences in beta-band oscillations predict motor-inhibitory control
title_full Individual differences in beta-band oscillations predict motor-inhibitory control
title_fullStr Individual differences in beta-band oscillations predict motor-inhibitory control
title_full_unstemmed Individual differences in beta-band oscillations predict motor-inhibitory control
title_short Individual differences in beta-band oscillations predict motor-inhibitory control
title_sort individual differences in beta band oscillations predict motor inhibitory control
topic EEG
motor inhibitory control
beta-band oscillations
functional connectivity
global efficiency
url https://www.frontiersin.org/articles/10.3389/fnins.2023.1131862/full
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