Complexity analysis of brain activity in attention-deficit/hyperactivity disorder: A multiscale entropy analysis

被引：41

作者：

Li, Chenxi ^{[1
,2
]}

Chen, Yanni ^{[3
]}

Li, Youjun ^{[1
,2
]}

Wang, Jue ^{[1
,2
]}

Liu, Tian ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Key Lab Biomed Informat Engn, Minist Educ, Inst Biomed Engn,Sch Life Sci & Technol, Xian 710049, Peoples R China

[2] Xian Jiaotong Univ Branch, Natl Engn Res Ctr Hlth Care & Med Devices, Xian 710003, Peoples R China

[3] Xian Childrens Hosp, Xian 710003, Peoples R China

来源：

BRAIN RESEARCH BULLETIN | 2016年 / 124卷

基金：

中国国家自然科学基金;

关键词：

ADHD; EEG; Complexity; Multiscale entropy; Connectivity; MULTISOURCE INTERFERENCE TASK; APPROXIMATE ENTROPY; EEG COMPLEXITY; CHILDREN; CONNECTIVITY; ACTIVATION; FMRI;

D O I：

10.1016/j.brainresbull.2016.03.007

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

The multiscale entropy (MSE) is a novel method for quantifying the intrinsic dynamical complexity of physiological systems over several scales. To evaluate this method as a promising way to explore the neural mechanisms in ADHD, we calculated the MSE in EEG activity during the designed task. EEG data were collected from 13 outpatient boys with a confirmed diagnosis of ADHD and 13 age- and gender matched normal control children during their doing multi-source interference task (MSIT). We estimated the MSE by calculating the sample entropy values of delta, theta, alpha and beta frequency bands over twenty time scales using coarse-grained procedure. The results showed increased complexity of EEG data in delta and theta frequency bands and decreased complexity in alpha frequency bands in ADHD children. The findings of this study revealed aberrant neural connectivity of kids with ADHD during interference task. The results showed that MSE method may be a new index to identify and understand the neural mechanism of ADHD. (C) 2016 Elsevier Inc. All rights reserved.

引用

页码：12 / 20

页数：9

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