Cortical thickness reductions associate with brain network architecture in major depressive disorder

神经科学 心理学 重性抑郁障碍 精神科 认知
作者
Wei Sheng,Qian Cui,Yuanhong Guo,Qin Tang,Yun‐Shuang Fan,Chong Wang,Jing Guo,Fengmei Lu,Zongling He,Huafu Chen
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:347: 175-182 被引量:1
标识
DOI:10.1016/j.jad.2023.11.037
摘要

Cortical thickness reductions in major depressive disorder are distributed across multiple regions. Research has indicated that cortical atrophy is influenced by connectome architecture on a range of neurological and psychiatric diseases. However, whether connectome architecture contributes to changes in cortical thickness in the same manner as it does in depression is unclear. This study aims to explain the distribution of cortical thickness reductions across the cortex in depression by brain connectome architecture. Here, we calculated a differential map of cortical thickness between 110 depression patients and 88 age-, gender-, and education level-matched healthy controls by using T1-weighted images and a structural network reconstructed through the diffusion tensor imaging of control group. We then used a neighborhood deformation model to explore how cortical thickness change in an area is influenced by areas structurally connected to it. We found that cortical thickness in the frontoparietal and default networks decreased in depression, regional cortical thickness changes were related to reductions in their neighbors and were mainly limited by the frontoparietal and default networks, and the epicenter was in the prefrontal lobe. Current findings suggest that connectome architecture contributes to the irregular topographic distribution of cortical thickness reductions in depression and cortical atrophy is restricted by and dependent on structural foundation.
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