The effects of cognitive behavioral therapy on resting-state functional brain network in drug-naive patients with obsessive–compulsive disorder

Ping Li, Xiangyun Yang, Andrew J. Greenshaw, Sufang Li, Jia Luo, Haiying Han, Jing Liu, Zhaoxi Zhong, Zhihua Guo, Hongfang Xiong, Shumin Yao, Yunhui Chen, Jing Sun, Zhanjiang Li

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Abstract

Objectives: Although cognitive behavioral therapy (CBT) is an effective treatment for obsessive–compulsive disorder (OCD), the treatment mechanisms remain poorly understood. This study aimed to investigate the effects of CBT on changes in the intrinsic whole-brain functional network of OCD patients. Materials and Methods: Twenty drug-naive and noncomorbid OCD patients were recruited, and resting-state functional magnetic resonance imaging was performed before and after 12 weeks of CBT. Moreover, 20 healthy controls were scanned twice with a 12-week interval. A graph-theory degree centrality (DC) approach and functional connectivity method were used to analyze the whole-brain functional network hub and connectivity changes in OCD patients before and after CBT treatment. Results: A significant group × time interaction on DC was found in the left dorsolateral prefrontal cortex (DLPFC); the DC in the left DLPFC was significantly reduced after CBT treatment. Resting-state functional connectivity (RSFC) between the left DLPFC and right orbitofrontal cortex was increased in the OCD patients at baseline, and normalized after CBT treatment. RSFC changes between the left DLPFC and default mode network (DMN) positively correlated with changes in clinical symptoms in OCD patients. Conclusions: These findings suggest that CBT can modulate changes in intrinsic functional network hubs in the cortico–striato–thalamo-cortical circuit in OCD patients. Cognitive control network and DMN connectivity may be a potential imaging biomarker for evaluating CBT treatment for OCD.
Original languageEnglish
Article numbere00963
Pages (from-to)1-13
Number of pages13
JournalBrain and Behavior
Volume8
Issue number5
Early online dateApr 2018
DOIs
Publication statusPublished - May 2018

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