BACKGROUND: fMRI graph theory reveals resting-state brain networks, but has never been used in pediatric @entity3119 . METHODS: Whole-brain resting-state fMRI was acquired at 3T from 21 @entity1 with @entity3119 and 20 age-matched healthy controls. BOLD connectivity was analyzed yielding global and local graph-theory metrics across 100 @entity1 -based functional nodes. We also compared local metrics between groups in frontopolar, supplementary motor, and sensorimotor cortices, regions implicated in recent neuroimaging and/or brain stimulation treatment studies in @entity3119 . RESULTS: As in adults, the global metric small-worldness was significantly (P<0.05) lower in @entity1 than controls, by 13.5% (%mean difference=100%X( @entity3119 mean - control mean)/control mean). This suggests less efficient information transfer in @entity1 . In addition, modularity was lower in @entity3119 (15.1%, P<0.01), suggesting less granular  - or differently organized  - functional brain parcellation. Higher clustering coefficients (23.9-32.4%, P<0.05) were observed in @entity1 in frontopolar, supplementary motor, sensorimotor, and cortices with lower betweenness centrality (-63.6%, P<0.01) at one frontopolar site. These findings are consistent with more locally intensive connectivity or less interaction with other brain regions at these sites. LIMITATIONS: Relatively large node size; relatively small sample size, comorbidities in some @entity1 . CONCLUSIONS: Pediatric @entity3119 @entity1 demonstrate aberrant global and local resting-state network connectivity topologies compared to healthy @entity1 . Local results accord with recent views of @entity3119 as a disorder with sensorimotor component.

Graph-theoretical analysis of resting-state fMRI in pediatric XXXX .

@entity1 :: ('9606', 'Species') :: ['child', 'patients', 'children'] @entity3119 :: ('MESH:D009771', 'Disease') :: ['OCD']
@entity3119 :: (MESH:D009771,Disease) :: ['obsessive-compulsive disorder']
