Frontoparietal areas link impairments of large-scale intrinsic brain networks with aberrant fronto-striatal interactions in OCD: a meta-analysis of resting-state functional connectivity
- PMID: 29410103
- DOI: 10.1016/j.neubiorev.2018.01.016
Frontoparietal areas link impairments of large-scale intrinsic brain networks with aberrant fronto-striatal interactions in OCD: a meta-analysis of resting-state functional connectivity
Abstract
Neuroimaging studies report evidence for two distinct pathophysiological models of obsessive-compulsive disorder (OCD): disrupted fronto-striatal circuits and impaired large-scale fronto-parietal-limbic intrinsic brain networks, defined by functionally connected (FC) infra-slow oscillations in ongoing brain activity. To synthesize this literature and overcome inconsistencies, we conducted a coordinate-based meta-analysis of 18 whole-brain resting-state functional magnetic resonance imaging (fMRI) studies (541 patients, 572 healthy controls) comparing seed-based FC between OCD patients and healthy controls. In patients, the meta-analysis revealed (1) consistent hypoconnectivity within frontoparietal and salience network, and between salience, frontoparietal and default-mode network, and (2) consistent general dysconnectivity (no specific direction of connectivity change) within default-mode and frontoparietal network, as well as between frontoparietal, default-mode, and salience networks. Between-network hypoconnectivity provides evidence for the triple-network model in OCD, while aberrant within-network connectivity of frontoparietal and striatal regions supports reports of aberrant fronto-striatal circuitry. Therefore, results corroborate both models of OCD pathophysiology and link them by underlining the importance of intrinsic connectivity of frontoparietal regions which are common to both models.
Keywords: Fronto-striatal circuitry; Functional connectivity; Intrinsic brain networks; Meta-analysis; Obsessive-compulsive disorder; Resting-state fMRI; Triple network model.
Copyright © 2018 Elsevier Ltd. All rights reserved.
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