Lu Fengmei, Zhang Jinhua, Zhong Yihua, Hong Lan, Wang Jian, Du Hui, Fang Jiliang, Fan Yangyang, Wang Xiaoling, Yang Yang, He Zongling, Jia Chen, Wang Weidong, Lv Xueyu
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.
Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
Brain Commun. 2024 Aug 12;6(4):fcae263. doi: 10.1093/braincomms/fcae263. eCollection 2024.
Evidence indicates that the default mode network (DMN) plays a crucial role in the neuropathology of major depressive disorder (MDD). However, the neural signatures of DMN subsystems in MDD after low resistance Thought Induction Psychotherapy (TIP) remain incompletely understood. We collected functional magnetic resonance imaging data from 20 first-episode, drug-naive MDD and 20 healthy controls (HCs). The DMN was segmented into three subsystems and seed-based functional connectivity (FC) was computed. After 6-week treatment, the significantly reduced FCs with the medial temporal lobe memory subsystem in MDD at baseline were enhanced and were comparable to that in HCs. Changed Hamilton Depression Rating Scale scores were significantly related with changed FC between the posterior cingulate cortex (PCC) and the right precuneus (PCUN). Further, changed serotonin 5-hydroxytryptamine levels were significantly correlated with changed FCs between the PCC and the left PCUN, between the posterior inferior parietal lobule and the left inferior temporal gyrus, and between the retrosplenial cortex and the right inferior frontal gyrus, opercular part. Finally, the support vector machine obtained an accuracy of 67.5% to distinguish between MDD at baseline and HCs. These findings may deepen our understanding of the neural basis of the effects of TIP on DMN subsystems in MDD.
有证据表明，默认模式网络（DMN）在重度抑郁症（MDD）的神经病理学中起关键作用。然而，低阻抗思维诱导疗法（TIP）后MDD中DMN子系统的神经特征仍未完全明确。我们收集了20名首发、未服用过药物的MDD患者和20名健康对照（HCs）的功能磁共振成像数据。将DMN分为三个子系统，并计算基于种子点的功能连接（FC）。经过6周的治疗，MDD患者基线时与内侧颞叶记忆子系统显著降低的FC增强，且与HCs相当。汉密尔顿抑郁量表评分的变化与后扣带回皮质（PCC）和右侧楔前叶（PCUN）之间FC的变化显著相关。此外，血清素5-羟色胺水平的变化与PCC和左侧PCUN之间、后下顶叶小叶和左侧颞下回之间以及压后皮质和右侧额下回岛盖部之间FC的变化显著相关。最后，支持向量机区分基线时的MDD和HCs的准确率为67.5%。这些发现可能会加深我们对TIP对MDD中DMN子系统影响的神经基础的理解。
