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利用多中心静息态 fMRI 研究重度抑郁症患者小脑与大脑之间的有效连接变化。

Altered Effective Connectivity Among the Cerebellum and Cerebrum in Patients with Major Depressive Disorder Using Multisite Resting-State fMRI.

机构信息

School of Computer Science and Engineering, Central South University, Changsha, Hunan, China.

Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

出版信息

Cerebellum. 2023 Oct;22(5):781-789. doi: 10.1007/s12311-022-01454-9. Epub 2022 Aug 6.

Abstract

Major depressive disorder (MDD) is a serious and widespread psychiatric disorder. Previous studies mainly focused on cerebrum functional connectivity, and the sample size was relatively small. However, functional connectivity is undirected. And, there is increasing evidence that the cerebellum is also involved in emotion and cognitive processing and makes outstanding contributions to the symptomology and pathology of depression. Therefore, we used a large sample size of resting-state functional magnetic resonance imaging (rs-fMRI) data to investigate the altered effective connectivity (EC) among the cerebellum and other cerebral cortex in patients with MDD. Here, from the perspective of data-driven analysis, we used two different atlases to divide the whole brain into different regions and analyzed the alterations of EC and EC networks in the MDD group compared with healthy controls group (HCs). The results showed that compared with HCs, there were significantly altered EC in the cerebellum-neocortex and cerebellum-basal ganglia circuits in MDD patients, which implied that the cerebellum may be a potential biomarker of depressive disorders. And, the alterations of EC brain networks in MDD patients may provide new insights into the pathophysiological mechanisms of depression.

摘要

重度抑郁症(MDD)是一种严重且普遍的精神障碍。以前的研究主要集中在大脑功能连接上,样本量相对较小。然而,功能连接是无方向的。越来越多的证据表明,小脑也参与情绪和认知处理,并对抑郁症的症状和病理学做出了杰出贡献。因此,我们使用了大量的静息态功能磁共振成像(rs-fMRI)数据来研究 MDD 患者小脑与其他大脑皮层之间的改变的有效连接(EC)。在这里,我们从数据驱动分析的角度出发,使用了两种不同的图谱将整个大脑划分为不同的区域,并分析了 MDD 组与健康对照组(HCs)之间 EC 和 EC 网络的变化。结果表明,与 HCs 相比,MDD 患者的小脑-新皮层和小脑-基底节回路的 EC 发生了显著变化,这表明小脑可能是抑郁障碍的一个潜在生物标志物。并且,MDD 患者 EC 脑网络的变化可能为抑郁症的病理生理学机制提供新的见解。

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