Revealing the brain's adaptability and the transcranial direct current stimulation facilitating effect in inhibitory control by multiscale entropy

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Title:	Revealing the brain's adaptability and the transcranial direct current stimulation facilitating effect in inhibitory control by multiscale entropy
Authors:	鄭仕坤;Liang, Wei-Kuang;Lo, Men-Tzung;Yang, Albert C.;Peng, Chung-Kang;Cheng, Shih-Kuen;Tseng, Philip;Juan, Chi-Hung
Contributors:	生醫理工學院認知神經科學研究所
Keywords:	Adult;Animal behavior;Attention deficit hyperactivity disorder;Biological and medical sciences;Brain - physiology;Brain research;Cognitive ability;Efficiency;Electric Stimulation;Electroencephalography;Entropy;Experiments;Fundamental and applied biological sciences. Psychology;Humans;Inhibition (Psychology);Male;Signal Processing, Computer-Assisted;Studies;Time series;Vertebrates: nervous system and sense organs;Young Adult
Date:	2014-04-15
Issue Date:	2026-04-23 14:36:32 (UTC+8)
Publisher:	Academic Press Inc.;Amsterdam: Elsevier Inc
Abstract:	摘要： The abilities to inhibit impulses and withdraw certain responses are critical for human's survival in a fast-changing environment. These processes happen fast, in a complex manner, and sometimes are difficult to capture with fMRI or mean electrophysiological brain signal alone. Therefore, an alternative measure that can reveal the efficiency of the neural mechanism across multiple timescales is needed for the investigation of these brain functions. The present study employs a new approach to analyzing electroencephalography (EEG) signal: the multiscale entropy (MSE), which groups data points with different timescales to reveal any occurrence of repeated patterns, in order to theoretically quantify the complexity (indicating adaptability and efficiency) of neural systems during the process of inhibitory control. From this MSE perspective, EEG signals of successful stop trials are more complex and information rich than that of unsuccessful stop trials. We further applied transcranial direct current stimulation (tDCS), with anodal electrode over presupplementary motor area (preSMA), to test the relationship between behavioral modification with the complexity of EEG signals. We found that tDCS can further increase the EEG complexity of the frontal lobe. Furthermore, the MSE pattern was found to be different between high and low performers (divided by their stop-signal reaction time), where the high-performing group had higher complexity in smaller scales and less complexity in larger scales in comparison to the low-performing group. In addition, this between-group MSE difference was found to interact with the anodal tDCS, where the increase of MSE in low performers benefitted more from the anodal tDCS. Together, the current study demonstrates that participants who suffer from poor inhibitory control can efficiently improve their performance with 10min of electrical stimulation, and such cognitive improvement can be effectively traced back to the complexity within the EEG signals via MSE analysis, thereby offering a theoretical basis for clinical intervention via tDCS for deficits in inhibitory control. •We use multiscale entropy (MSE) to quantify the efficiency of inhibitory control.•MSE of EEG signals of successful stop trials is higher than unsuccessful stop trials.•We use MSE to account for the effect of brain stimulation in inhibitory control.•Anodal transcranial direct current stimulation can increase MSE of the frontal lobe.•We identify the MSE pattern of superior performance in inhibitory control. 其他題名： Neuroimage 出版者： Amsterdam: Elsevier Inc 出版日期： 2014-04-15 出處： NeuroImage (Orlando, Fla.), 2014-04, Vol.90, p.218-234 版權： 2014 Elsevier Inc. 版權： 2015 INIST-CNRS 版權： Copyright © 2014 Elsevier Inc. All rights reserved. 版權： Copyright Elsevier Limited Apr 15, 2014 識別號： ISSN: 1053-8119 識別號： ISSN: 1095-9572 識別號： EISSN: 1095-9572 識別號： DOI: 10.1016/j.neuroimage.2013.12.048 識別號： PMID: 24389016
Appears in Collections:	[College of Science Institute of Cognitive Neuroscience] journal & Dissertation

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