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Abstract #4930

Alterations of the structural covariance network in the thalamic subnuclei of non-comorbid treatment-naïve patients with major depressive disorder

xinyue Hu1, lianqing Zhang1, hailong Li1, Mengyue Tang1, Hui Qiu1, Yongbo Hu1, Yingxue Gao1, Weihong Kuang2, Qiyong Gong1, and Xiaoqi Huang1
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China

Synopsis

Keywords: Psychiatric Disorders, Gray MatterThe thalamus is one of the key structures involved in the pathophysiology of major depressive disorder (MDD). Most previous neuroimaging studies on MDD measured the volume of thalamus as a whole, however, the thalamus consists of multiple subnucleus with distinct function and connectivity. Recent advances in structural MRI segmentation techniques have enabled the measurement of the volumes of thalamic subnucleus with a robust, automatic approach using a Bayesian inference-based atlas-building algorithm. Using this algorithm, we aimed to investigate the alternations in volume and structural covariance networks in thalamic subnucleus in a relatively large sample of non-comorbid treatment-naïve patients with MDD.

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