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亚急性默认模式网络功能障碍可预测脑卒中后抑郁严重程度。

Subacute default mode network dysfunction in the prediction of post-stroke depression severity.

机构信息

Université Bordeaux2, Department of Clinical Neurosciences, CHU Bordeaux, Hôpital Pellegrin, Place Amélie Raba-Leon, 33076 Bordeaux, France.

出版信息

Radiology. 2012 Jul;264(1):218-24. doi: 10.1148/radiol.12111718. Epub 2012 Jun 5.

Abstract

PURPOSE

To identify patterns of rest functional connectivity (FC) in the whole brain with the default mode network (DMN) soon after stroke and to explore the predictive accuracy of the strength of rest FC in specific areas on poststroke severity of depression and anxiety symptoms.

MATERIALS AND METHODS

The protocol was accepted by the local ethics board, and all patients provided informed consent to participate. Resting-state functional magnetic resonance (MR) images were acquired 10 days after a first stroke in 24 patients without a history of psychiatric illness. Independent component analysis was used to isolate the DMN in each subject. Hamilton Depression Rating Scale (HDRS) 17 and Hamilton Anxiety Rating Scale (HARS) were recorded 10 days and 3 months after the stroke. Associations between severity of anxiety or depression symptoms and DMN functional connectivity were investigated with whole-brain analyses by using statistical parametric mapping software and were adjusted for age, sex, manual laterality, and National Institutes of Health Stroke Severity scores. Correlations were considered significant if P<.001, with a cluster size of more than 50 voxels.

RESULTS

Ten days after stroke, anxiety severity was correlated with functional connectivity in the middle temporal cortex and the anterior midcingulate cortex, while at 3 months after stroke, a correlation was observed with the middle temporal cortex and the posterior cingulate cortex. Poststroke depressive symptom severity did not correlate with functional connectivity changes at 10-day follow-up, while the HDRS 17 score was correlated with functional connectivity in the left middle temporal cortex and precuneus at 3-month follow-up.

CONCLUSION

These results suggest that a dysfunction of DMN functional connectivity involved in emotional control is associated with the severity of poststroke depression. Further studies are necessary to determine the mechanisms of this functional impairment.

摘要

目的

在中风后不久识别全脑静息功能连接(FC)与默认模式网络(DMN)的模式,并探讨特定区域静息 FC 强度对中风后抑郁和焦虑症状严重程度的预测准确性。

材料和方法

该方案已被当地伦理委员会接受,所有患者均同意参与并签署知情同意书。在 24 名无精神病史的首次中风后 10 天采集静息态功能磁共振(MR)图像。使用独立成分分析(ICA)在每个受试者中分离 DMN。中风后 10 天和 3 个月分别记录汉密尔顿抑郁评定量表(HDRS)17 分和汉密尔顿焦虑评定量表(HARS)。使用统计参数映射软件对全脑分析进行研究,以调查焦虑或抑郁严重程度与 DMN 功能连接之间的关联,并对年龄、性别、手动偏侧性和 NIH 中风严重程度评分进行调整。相关性被认为具有统计学意义(P<.001),且簇大小大于 50 个体素。

结果

中风后 10 天,焦虑严重程度与颞中回和前扣带回的功能连接相关,而中风后 3 个月,与颞中回和后扣带回的功能连接相关。中风后抑郁症状严重程度与 10 天随访时的功能连接变化无相关性,而 HDRS 17 评分与 3 个月随访时左侧颞中回和楔前叶的功能连接相关。

结论

这些结果表明,涉及情绪控制的 DMN 功能连接的功能障碍与中风后抑郁的严重程度相关。需要进一步研究来确定这种功能障碍的机制。

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