Alterations in amygdala subregions—Default mode network connectivity after treatment in patients with schizophrenia

Author:

Xu Jianxiong1,Liang Jiaquan1,Yan Haohao2,Zhang Chunguo1,Zhang Xinglian1,Li Xuesong1,Huang Wei1,Guo Huagui1,Yang Yu1,Ye Jinzhong1,Ou Yangpan2,Deng Wen1,Xu Jinbing1,Li Xiaoling1,Xie Guojun1,Guo Wenbin2ORCID

Affiliation:

1. Department of Psychiatry The Third People's Hospital of Foshan Foshan Guangdong China

2. Department of Psychiatry, and National Clinical Research Center for Mental Disorders The Second Xiangya Hospital of Central South University Changsha Hunan China

Abstract

AbstractDisrupted connectivity in the default mode network (DMN) during resting‐state functional MRI (rs‐fMRI) is well‐documented in schizophrenia (SCZ). The amygdala, a key component in the neurobiology of SCZ, comprises distinct subregions that may exert varying effects on the disorder. This study aimed to investigate variations in functional connectivity (FC) between distinct amygdala subregions and the DMN in SCZ individuals and explore the effects of treatment on these connections. Fifty‐six SCZ patients and 51 healthy controls underwent FC analysis and questionnaire surveys during resting state. The amygdala was selected as the region of interest (ROI) and subdivided into four parts. Changes in FC were examined, and correlations between questionnaire scores and brain activity were explored. Pre‐treatment, SCZ patients exhibited reduced FC between the amygdala and DMN compared to HCs. After treatment, significant differences persisted in the right medial amygdala, while other regions did not differ significantly from controls. In addition, PANSS scores positively correlated with FC between the Right Medial Amygdala and the left SMFC (r = .347, p = .009), while RBANS5A scores showed a positive correlation with FC between the Left Lateral Amygdala and the right MTG (rho = −.347, p = .009). The rsFC between the amygdala and the DMN plays a crucial role in the treatment mechanisms of SCZ. This could provide a promising predictive indicator for understanding the neural mechanisms behind treatment and symptomatic improvement.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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