Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study

Brain Sciences

卷:11

Maliheh Ahmadi¹  Kamran Kazemi¹  Mohammad Sadegh Helfroush¹  Katarzyna Kuc²  Anita Cybulska-Klosowicz³  Ardalan Aarabi⁴ 

[1] Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 7155713876, Iran;

[2] Institute of Psychology, SWPS University of Social Sciences and Humanities, 03-815 Warsaw, Poland;

[3] Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 02-093 Warsaw, Poland;

[4] Laboratory of Functional Neuroscience and Pathologies (LNFP, EA 4559), University Research Center (CURS), University Hospital, 80054 Amiens, France;

关键词: EEG;    cortical source imaging;    eLORETA;    rich-club organization;    graph analysis;    connectivity analysis;   

DOI  :  10.3390/brainsci11070938

来源: DOAJ

【 摘 要 】

Growing evidence indicates that disruptions in the brain’s functional connectivity play an important role in the pathophysiology of ADHD. The present study investigates alterations in resting-state EEG source connectivity and rich-club organization in children with inattentive (ADHD_I) and combined (ADHD_C) ADHD compared with typically developing children (TD) under the eyes-closed condition. EEG source analysis was performed by eLORETA in different frequency bands. The lagged phase synchronization (LPS) and graph theoretical metrics were then used to examine group differences in the topological properties and rich-club organization of functional networks. Compared with the TD children, the ADHD_I children were characterized by a widespread significant decrease in delta and beta LPS, as well as increased theta and alpha LPS in the left frontal and right occipital regions. The ADHD_C children displayed significant increases in LPS in the central, temporal and posterior areas. Both ADHD groups showed small-worldness properties with significant increases and decreases in the network degree in the θ and β bands, respectively. Both subtypes also displayed reduced levels of network segregation. Group differences in rich-club distribution were found in the central and posterior areas. Our findings suggest that resting-state EEG source connectivity analysis can better characterize alterations in the rich-club organization of functional brain networks in ADHD patients.

【 授权许可】

Unknown