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

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...

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Autores principales: Ahmadi, Maliheh, Kazemi, Kamran, Kuc, Katarzyna, Cybulska-Klosowicz, Anita, Helfroush, Mohammad Sadegh, Aarabi, Ardalan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305540/
https://www.ncbi.nlm.nih.gov/pubmed/34356174
http://dx.doi.org/10.3390/brainsci11070938
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author Ahmadi, Maliheh
Kazemi, Kamran
Kuc, Katarzyna
Cybulska-Klosowicz, Anita
Helfroush, Mohammad Sadegh
Aarabi, Ardalan
author_facet Ahmadi, Maliheh
Kazemi, Kamran
Kuc, Katarzyna
Cybulska-Klosowicz, Anita
Helfroush, Mohammad Sadegh
Aarabi, Ardalan
author_sort Ahmadi, Maliheh
collection PubMed
description 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.
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spelling pubmed-83055402021-07-25 Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study Ahmadi, Maliheh Kazemi, Kamran Kuc, Katarzyna Cybulska-Klosowicz, Anita Helfroush, Mohammad Sadegh Aarabi, Ardalan Brain Sci Article 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. MDPI 2021-07-16 /pmc/articles/PMC8305540/ /pubmed/34356174 http://dx.doi.org/10.3390/brainsci11070938 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ahmadi, Maliheh
Kazemi, Kamran
Kuc, Katarzyna
Cybulska-Klosowicz, Anita
Helfroush, Mohammad Sadegh
Aarabi, Ardalan
Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study
title Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study
title_full Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study
title_fullStr Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study
title_full_unstemmed Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study
title_short Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study
title_sort disrupted functional rich-club organization of the brain networks in children with attention-deficit/hyperactivity disorder, a resting-state eeg study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305540/
https://www.ncbi.nlm.nih.gov/pubmed/34356174
http://dx.doi.org/10.3390/brainsci11070938
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