Abnormal Brain State in Major Depressive Disorder: A Resting-State Magnetic Resonance Study

作者：Siyu Fan, Siyu Fan, Rui Qian, Rui Qian, Nanxue Duan, Hongping Wang, Yue Yu, Yang Ji, Xiaohui Xie, Yue Wu, Yue Wu, Yanghua Tian, Yanghua Tian · 发表于：Brain Connectivity · 年份：2025 · DOI：10.1089/brain.2024.0062 · 被引用次数：1 · 研究领域：Functional Brain Connectivity Studies、Advanced MRI Techniques and Applications、Advanced NMR Techniques and Applications

Background: Respective changes in resting-state linear and nonlinear measures in major depressive disorder (MDD) have been reported. However, few studies have used integrated measures of linear and nonlinear brain dynamics to explore the pathological mechanisms underlying MDD. Method: Forty-two patients with MDD and 42 sex- and age-matched healthy controls (HC) underwent resting-state functional magnetic resonance imaging to calculate multiscale entropy (MSE) and regional homogeneity (ReHo). The MSE-ReHo coupling of the whole gray matter and the MSE/ReHo ratio (the complexity of intensity homogeneity per unit time series) of each voxel were compared between the two groups. To evaluate the discriminative capacity of ratio features between patients with MDD and HC, we employed the support vector machine (SVM) learning method. Results: We observed that patients with MDD displayed increased MSE/ReHo ratio mainly in the orbitofrontal cortex, sensorimotor areas, and visual cortex. Moreover, significant correlations were observed between MSE/ReHo ratio and clinical indicators, including depression severity and cognitive function tests. The SVM model demonstrated high accuracy in differentiating patients with MDD from HC, highlighting the potential of the MSE/ReHo ratio as a diagnostic and prognostic tool. Conclusions: The aberrant MSE/ReHo ratio implicated the underlying mechanisms of depressive symptoms and cognitive impairment in patients with MDD. It may represent a critical stat...