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Abstract #3915

Large-scale network abnormality in bipolar disorder: A multimodal meta-analysis of resting-state functional connectivity and VBM

JiaYing Gong1,2, Junjing Wang3, Shaojuan Qiu1, Long Qian4, Li Huang1, and Ying Wang1
1Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China, 2Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, 3Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China, 4MR Research, GE Healthcare, Beijing, China

The present study is the first meta-analysis to integrate these diverse seed-based whole-brain resting-state functional connectivity (rs-FC) and voxel-based morphometry (VBM) results in bipolar disorder (BD) that exhibits abnormal connectivity within and between brain networks involved in internally oriented attention, processing of emotion or salience, goal-directed regulation of these functions, gating information, and sensorimotor processing. These findings motivate a large-scale neurocognitive model in which network abnormality is tightly linked to deficits in maintaining the integrated self (DN), processing of emotion (AN) or salience (VAN), and goal-directed regulation (FN) in BD.

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