Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.nicl.2018.11.010
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dc.titleLarge-scale brain functional network topology disruptions underlie symptom heterogeneity in children with attention-deficit/hyperactivity disorder
dc.contributor.authorQian, X.
dc.contributor.authorCastellanos, F.X.
dc.contributor.authorUddin, L.Q.
dc.contributor.authorLoo, B.R.Y.
dc.contributor.authorLiu, S.
dc.contributor.authorKoh, H.L.
dc.contributor.authorPoh, X.W.W.
dc.contributor.authorFung, D.
dc.contributor.authorGuan, C.
dc.contributor.authorLee, T.-S.
dc.contributor.authorLim, C.G.
dc.contributor.authorZhou, J.
dc.date.accessioned2021-12-16T07:52:32Z
dc.date.available2021-12-16T07:52:32Z
dc.date.issued2019
dc.identifier.citationQian, X., Castellanos, F.X., Uddin, L.Q., Loo, B.R.Y., Liu, S., Koh, H.L., Poh, X.W.W., Fung, D., Guan, C., Lee, T.-S., Lim, C.G., Zhou, J. (2019). Large-scale brain functional network topology disruptions underlie symptom heterogeneity in children with attention-deficit/hyperactivity disorder. NeuroImage: Clinical 21 : 101600. ScholarBank@NUS Repository. https://doi.org/10.1016/j.nicl.2018.11.010
dc.identifier.issn22131582
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/210827
dc.description.abstractAccumulating evidence suggests brain network dysfunction in attention-deficit/hyperactivity disorder (ADHD). Whether large-scale brain network connectivity patterns reflect clinical heterogeneity in ADHD remains to be fully understood. This study aimed to characterize the differential within- and between-network functional connectivity (FC) changes in children with ADHD combined (ADHD-C) or inattentive (ADHD-I) subtypes and their associations with ADHD symptoms. We studied the task-free functional magnetic resonance imaging (fMRI) data of 58 boys with ADHD and 28 demographically matched healthy controls. We measured within- and between-network connectivity of both low-level (sensorimotor) and high-level (cognitive) large-scale intrinsic connectivity networks and network modularity. We found that children with ADHD-C but not those with ADHD-I exhibited hyper-connectivity within the anterior default mode network (DMN) compared with controls. Additionally, children with ADHD-C had higher inter-network FC between the left executive control (ECN) and the salience (SN) networks, between subcortical and visual networks, and between the DMN and left auditory networks than controls, while children with ADHD-I did not show differences compared with controls. Similarly, children with ADHD-C but not ADHD-I showed lower network modularity compared with controls. Importantly, these observed abnormal inter-network connectivity and network modularity metrics were associated with Child Behavioral Checklist (CBCL) attention-deficit/hyperactivity problems and internalizing problems in children with ADHD. This study revealed relatively greater loss of brain functional network segregation in childhood ADHD combined subtype compared to the inattentive subtype, suggesting differential large-scale functional brain network topology phenotype underlying childhood ADHD heterogeneity. © 2018 The Authors
dc.publisherElsevier Inc.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus OA2019
dc.subjectAttention-deficit/hyperactivity disorder
dc.subjectFunctional connectivity
dc.subjectHeterogeneity
dc.subjectModularity
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1016/j.nicl.2018.11.010
dc.description.sourcetitleNeuroImage: Clinical
dc.description.volume21
dc.description.page101600
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