Zhang Chunguo, Jing Huan, Yan Haohao, Li Xiaoling, Liang Jiaquan, Zhang Qinqin, Liang Wenting, Ou Yangpan, Peng Can, Yu Yang, Wu Weibin, Xie Guojun, Guo Wenbin
Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China.
Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Front Neurosci. 2023 Mar 7;17:1135337. doi: 10.3389/fnins.2023.1135337. eCollection 2023.
Prior researches have identified distinct differences in neuroimaging characteristics between healthy controls (HCs) and patients with major depressive disorder (MDD). However, the correlations between homotopic connectivity and clinical characteristics in patients with MDD have yet to be fully understood. The present study aimed to investigate common and unique patterns of homotopic connectivity and their relationships with clinical characteristics in patients with MDD.
We recruited 42 patients diagnosed with MDD and 42 HCs. We collected a range of clinical variables, as well as exploratory eye movement (EEM), event-related potentials (ERPs) and resting-state functional magnetic resonance imaging (rs-fMRI) data. The data were analyzed using correlation analysis, support vector machine (SVM), and voxel-mirrored homotopic connectivity (VMHC).
Compared with HCs, patients with MDD showed decreased VMHC in the insula, and increased VMHC in the cerebellum 8/vermis 8/vermis 9 and superior/middle occipital gyrus. SVM analysis using VMHC values in the cerebellum 8/vermis 8/vermis 9 and insula, or VMHC values in the superior/middle occipital gyrus and insula as inputs can distinguish HCs and patients with MDD with high accuracy, sensitivity, and specificity.
The study demonstrated that decreased VMHC in the insula and increased VMHC values in the sensory-motor networks may be a distinctive neurobiological feature for patients with MDD, which could potentially serve as imaging markers to discriminate HCs and patients with MDD.
先前的研究已经确定了健康对照者（HCs）与重度抑郁症（MDD）患者在神经影像学特征上存在明显差异。然而，MDD患者的同位连接性与临床特征之间的相关性尚未完全明确。本研究旨在探讨MDD患者同位连接性的共同和独特模式及其与临床特征的关系。
我们招募了42例诊断为MDD的患者和42名HCs。我们收集了一系列临床变量，以及探索性眼动（EEM）、事件相关电位（ERPs）和静息态功能磁共振成像（rs-fMRI）数据。使用相关分析、支持向量机（SVM）和体素镜像同位连接性（VMHC）对数据进行分析。
与HCs相比，MDD患者在脑岛的VMHC降低，而在小脑8/蚓部8/蚓部9以及枕叶上/中回的VMHC增加。以小脑8/蚓部8/蚓部9和脑岛的VMHC值，或枕叶上/中回和脑岛的VMHC值作为输入进行SVM分析，能够以较高的准确性、敏感性和特异性区分HCs和MDD患者。
该研究表明，脑岛VMHC降低以及感觉运动网络中VMHC值增加可能是MDD患者独特的神经生物学特征，这有可能作为区分HCs和MDD患者的影像学标志物。
