Resting-state network dysconnectivity in ADHD: a system-neuroscience-based meta-analysis

buir.contributor.authorKurban, Mustafa Kerem
dc.citation.epage672en_US
dc.citation.issueNumber9en_US
dc.citation.spage662en_US
dc.citation.volumeNumber21en_US
dc.contributor.authorSütçübaşı, B.
dc.contributor.authorMetin, B.
dc.contributor.authorKurban, Mustafa Kerem
dc.contributor.authorMetin, Z. E.
dc.contributor.authorBeşer, B.
dc.contributor.authorSonuga-Barke, E.
dc.date.accessioned2021-03-04T07:40:44Z
dc.date.available2021-03-04T07:40:44Z
dc.date.issued2020
dc.departmentInterdisciplinary Program in Neuroscience (NEUROSCIENCE)en_US
dc.description.abstractObjectives: Neuroimaging studies report altered resting-state functional connectivity in attention deficit/hyperactivity disorder (ADHD) across multiple brain systems. However, there is inconsistency among individual studies. Methods: We meta-analyzed seed-based resting state studies of ADHD connectivity within and between four established resting state brain networks (default mode, cognitive control, salience, affective/motivational) using Multilevel Kernel Density Analysis method. Results: Twenty studies with 944 ADHD patients and 1121 controls were included in the analysis. Compared to controls, ADHD was associated with disrupted within-default mode network (DMN) connectivity – reduced in the core (i.e. posterior cingulate cortex seed) but elevated in the dorsal medial prefrontal cortex sub-system (i.e. temporal pole-inferior frontal gyrus). Connectivity was elevated between nodes in the cognitive control system. When the analysis was restricted to children and adolescents, additional reduced connectivity was detected between DMN and cognitive control and affective/motivational and salience networks. Conclusions: Our data are consistent with the hypothesis that paediatric ADHD is a DMN-dysconnectivity disorder with reduced connectivity both within the core DMN sub-system and between that system and a broad set of nodes in systems involved in cognition and motivation.en_US
dc.description.provenanceSubmitted by Zeynep Aykut (zeynepay@bilkent.edu.tr) on 2021-03-04T07:40:44Z No. of bitstreams: 1 Resting_state_network_dysconnectivity_in_ADHD_a_system_neuroscience_based_meta_analysis.pdf: 2029057 bytes, checksum: 50c1babc7f7ea515c064483e1ac5c52c (MD5)en
dc.description.provenanceMade available in DSpace on 2021-03-04T07:40:44Z (GMT). No. of bitstreams: 1 Resting_state_network_dysconnectivity_in_ADHD_a_system_neuroscience_based_meta_analysis.pdf: 2029057 bytes, checksum: 50c1babc7f7ea515c064483e1ac5c52c (MD5) Previous issue date: 2020en
dc.identifier.doi10.1080/15622975.2020.1775889en_US
dc.identifier.issn1562-2975
dc.identifier.urihttp://hdl.handle.net/11693/75759
dc.language.isoEnglishen_US
dc.publisherTaylor and Francisen_US
dc.relation.isversionofhttps://dx.doi.org/10.1080/15622975.2020.1775889en_US
dc.source.titleWorld Journal of Biological Psychiatryen_US
dc.subjectADHDen_US
dc.subjectMRIen_US
dc.subjectBrain imagingen_US
dc.subjectConnectivityen_US
dc.subjectResting-stateen_US
dc.titleResting-state network dysconnectivity in ADHD: a system-neuroscience-based meta-analysisen_US
dc.typeReviewen_US

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