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Abstract #0437

Distinct functional connectivity of anterior cingulate cortex subregional networks in first-episode and recurrent major depressive disorder

Zilin Zhou1, Lingxiao Cao1, Yingxue Gao1, Weijie Bao1, Mengyue Tang1, Hailong Li1, Lianqing Zhang1, Huaiqiang Sun1,2, Qiyong Gong3, and Xiaoqi Huang1,2
1Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular lmaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China, 2Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China, 3Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China

Synopsis

Keywords: Psychiatric Disorders, fMRI (resting state), major depresive disorder

Motivation: The fine-grained anterior cingulate cortex (ACC) subregional functional connectivity alterations in first-episode and recurrent major depressive disorder (MDD) remained unclear.

Goal(s): To obtain optimal functional ACC subdivisions and explore alterations in intrinsic functional connectivity of ACC subregional networks in first-episode and recurrent MDD.

Approach: We utilized a data-driven connectivity-based parcellation to obtain optimal ACC subdivisions, calculated ACC subregional functional connectivity, and compared among first-episode, recurrent MDD patients and healthy controls.

Results: Ventral and dorsal ACC per hemisphere were identified as optimal parcellation. The ACC subregional connectivity was reduced in all MDD patients, while dorsal ACC connectivity was significantly reduced only in recurrent patients.

Impact: Our discovery of impaired functional architectures of ACC subdivisions in MDD, with a more prominent disrupted connectivity of dorsal ACC in relapsed patients, emphasize a potential role of ACC subregional connectivity in distinguishing MDD at different episodes and predicting relapse.

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