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未经药物治疗的强迫症患者全脑静息态有效连接分析观察到额顶叶皮层到基底节和小脑的通路中断 - 一项小样本初步研究。

Disrupted pathways from frontal-parietal cortex to basal ganglia and cerebellum in patients with unmedicated obsessive compulsive disorder as observed by whole-brain resting-state effective connectivity analysis - a small sample pilot study.

机构信息

Department of Psychiatry, Harbin Medical University Affiliated First Hospital, Harbin, 150036, China.

School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, 300074, China.

出版信息

Brain Imaging Behav. 2021 Jun;15(3):1344-1354. doi: 10.1007/s11682-020-00333-3.

Abstract

OBJECTIVE

To date, a systematic characterization of abnormalities in resting-state effective connectivity (rsEC) in obsessive-compulsive disorder (OCD) is lacking. The present study aimed to systematically characterize whole-brain rsEC in OCD patients as compared to healthy controls.

METHODS

Using resting-state fMRI data of 50 unmedicated patients with OCD and 50 healthy participants, we constructed whole-brain rsEC networks using Granger causality analysis followed by univariate and multivariate comparisons between patients and controls. Similar analyses were performed for resting-state functional connectivity (rsFC) networks to examine how rsFC and rsEC differentially capture abnormal brain connectivity in OCD.

RESULTS

Univariate comparisons identified 10 rsEC networks that were significantly disrupted in patients, and which were mainly associated with frontal-parietal cortex, basal ganglia, and cerebellum. Conversely, abnormal rsFC networks were widely distributed throughout the whole brain. Multivariate pattern analysis revealed a classification accuracy as high as 80.5% for distinguishing patients from controls using combined whole-brain rsEC and rsFC.

CONCLUSIONS

The results of the present study suggest disrupted communication of information from frontal-parietal cortex to basal ganglia and cerebellum in OCD patients. Using combined whole-brain rsEC and rsFC, multivariate pattern analysis revealed a classification accuracy as high as 80.5% for distinguishing patients from controls. The alterations observed in OCD patients could aid in identifying treatment mechanisms for OCD.

摘要

目的

迄今为止,强迫症(OCD)静息态有效连接(rsEC)异常的系统特征尚不清楚。本研究旨在与健康对照组相比,系统地描述 OCD 患者的全脑 rsEC。

方法

使用 50 名未接受药物治疗的 OCD 患者和 50 名健康参与者的静息态 fMRI 数据,我们使用格兰杰因果分析构建了全脑 rsEC 网络,然后对患者和对照组之间进行了单变量和多变量比较。还对静息态功能连接(rsFC)网络进行了类似的分析,以检查 rsFC 和 rsEC 如何在 OCD 中差异地捕获异常脑连接。

结果

单变量比较确定了 10 个 rsEC 网络在患者中存在显著破坏,这些网络主要与额顶叶皮层、基底节和小脑有关。相反,异常的 rsFC 网络广泛分布于整个大脑。多元模式分析显示,使用全脑 rsEC 和 rsFC 相结合,区分患者和对照组的分类准确率高达 80.5%。

结论

本研究的结果表明 OCD 患者中存在从额顶叶皮层到基底节和小脑的信息传递中断。使用全脑 rsEC 和 rsFC 的多元模式分析,区分患者和对照组的分类准确率高达 80.5%。在 OCD 患者中观察到的改变可能有助于确定 OCD 的治疗机制。

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