中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Aberrant brain dynamics and spectral power in children with ADHD and its subtypes

文献类型:期刊论文

作者Luo, Na10,11,12; Luo, Xiangsheng6,7,8,9; Zheng, Suli6,7,8,9; Yao, Dongren4,5; Zhao, Min10,11,12; Cui, Yue10,11,12; Zhu, Yu6,7,8,9; Calhoun, Vince D.2,3; Sun, Li6,7,8,9; Sui, Jing1,2,3
刊名EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
出版日期2022-08-22
页码12
ISSN号1018-8827
关键词ADHD Subtypes EEG Microstate dynamics Spectral power
DOI10.1007/s00787-022-02068-6
通讯作者Sun, Li(sunlioh@bjmu.edu.cn) ; Sui, Jing(jsui@bnu.edu.cn)
英文摘要Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children, usually categorized as three subtypes, predominant inattention (ADHD-I), predominant hyperactivity-impulsivity (ADHD-HI), and a combined subtype (ADHD-C). Yet, common and unique abnormalities of electroencephalogram (EEG) across different subtypes remain poorly understood. Here, we leveraged microstate characteristics and power features to investigate temporal and frequency abnormalities in ADHD and its subtypes using high-density EEG on 161 participants (54 ADHD-Is and 53 ADHD-Cs and 54 healthy controls). Four EEG microstates were identified. The coverage of salience network (state C) were decreased in ADHD compared to HC (p = 1.46e-3), while the duration and contribution of frontal-parietal network (state D) were increased (p = 1.57e-3; p = 1.26e-4). Frequency power analysis also indicated that higher delta power in the fronto-central area (p = 6.75e-4) and higher power of theta/beta ratio in the bilateral fronto-temporal area (p = 3.05e-3) were observed in ADHD. By contrast, remarkable subtype differences were found primarily on the visual network (state B), of which ADHD-C have higher occurrence and coverage than ADHD-I (p = 9.35e-5; p = 1.51e-8), suggesting that children with ADHD-C might exhibit impulsivity of opening their eyes in an eye-closed experiment, leading to hyper-activated visual network. Moreover, the top discriminative features selected from support vector machine model with recursive feature elimination (SVM-RFE) well replicated the above results, which achieved an accuracy of 72.7% and 73.8% separately in classifying ADHD and two subtypes. To conclude, this study highlights EEG microstate dynamics and frequency features may serve as sensitive measurements to detect the subtle differences in ADHD and its subtypes, providing a new window for better diagnosis of ADHD.
WOS关键词ATTENTION-DEFICIT/HYPERACTIVITY DISORDER ; EEG THETA/BETA RATIO ; DEFICIT HYPERACTIVITY DISORDER ; GAMMA-OSCILLATIONS ; FMRI ; NETWORK ; SYSTEMS
资助项目National Natural Sciences Foundation of China[81971284] ; National Natural Sciences Foundation of China[81771479] ; National Natural Sciences Foundation of China[82022035] ; National Natural Sciences Foundation of China[61773380] ; National Natural Sciences Foundation of China[82001450] ; China Postdoctoral Science Foundation[BX20200364] ; Key scientific research projects of capital health development[2020-1-4111] ; National Institute of Health[R01MH117107] ; National Institute of Health[R01EB005846] ; National Science Foundation[2112455] ; Beijing Municipal Science and Technology Commission[Z181100001518005]
WOS研究方向Psychology ; Pediatrics ; Psychiatry
语种英语
出版者SPRINGER
WOS记录号WOS:000842912700001
资助机构National Natural Sciences Foundation of China ; China Postdoctoral Science Foundation ; Key scientific research projects of capital health development ; National Institute of Health ; National Science Foundation ; Beijing Municipal Science and Technology Commission
源URL[http://ir.ia.ac.cn/handle/173211/49876]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Sun, Li; Sui, Jing
作者单位1.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
2.Emory Univ, Atlanta, GA 30303 USA
3.Georgia State Univ, Georgia Inst Technol, Triinst Ctr Translat Res Neuroimaging & Data Sci, Atlanta, GA 30303 USA
4.Harvard Med Sch, Boston, MA 02114 USA
5.Massachusetts Eye & Ear Infirm, Boston, MA 02114 USA
6.Peking Univ Sixth Hosp, Natl Clin Res Ctr Mental Disorders, Beijing 100191, Peoples R China
7.Peking Univ, NHC Key Lab Mental Hlth, Beijing 100191, Peoples R China
8.Peking Univ, Inst Mental Hlth, Beijing 100191, Peoples R China
9.Peking Univ Sixth Hosp, Beijing 100191, Peoples R China
10.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Luo, Na,Luo, Xiangsheng,Zheng, Suli,et al. Aberrant brain dynamics and spectral power in children with ADHD and its subtypes[J]. EUROPEAN CHILD & ADOLESCENT PSYCHIATRY,2022:12.
APA Luo, Na.,Luo, Xiangsheng.,Zheng, Suli.,Yao, Dongren.,Zhao, Min.,...&Sui, Jing.(2022).Aberrant brain dynamics and spectral power in children with ADHD and its subtypes.EUROPEAN CHILD & ADOLESCENT PSYCHIATRY,12.
MLA Luo, Na,et al."Aberrant brain dynamics and spectral power in children with ADHD and its subtypes".EUROPEAN CHILD & ADOLESCENT PSYCHIATRY (2022):12.

入库方式: OAI收割

来源:自动化研究所

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