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Altered dynamic functional connectivity across mood states in bipolar disorder
Brain Research ( IF 2.9 ) Pub Date : 2020-10-15 , DOI: 10.1016/j.brainres.2020.147143
Min Liu 1 , Yuchen Wang 1 , Aixia Zhang 2 , Chunxia Yang 2 , Penghong Liu 2 , Junyan Wang 2 , Kerang Zhang 2 , Yanfang Wang 2 , Ning Sun 3
Affiliation  

Background

This study aims to identify how the large-scale brain dynamic functional connectivity (dFC) differs between mood states in bipolar disorder (BD). The authors analyzed dFC in subjects with BD in depressed and euthymic states using resting-state functional magnetic resonance imaging (rsfMRI) data, and compared these states to healthy controls (HCs).

Method

20 subjects with BD in a depressive episode, 23 euthymic BD subjects, and 31 matched HCs underwent rsfMRI scans. Using an existing parcellation of the whole brain, we measured dFC between brain regions and identified the different patterns of brain network connections between groups.

Results

In the analysis of whole brain dFC, the connectivity between the left Superior Temporal Gyrus (STG) in the somatomotor network (SMN), the right Middle Temporal Gyrus (MTG) in the default mode network (DMN) and the bilateral Postcentral Gyrus (PoG) in the DMN of depressed BD was greater than that of euthymic BD, while there was no significant difference between euthymic BD and HCs in these brain regions. Euthymic BD patients had abnormalities in the frontal-striatal-thalamic (FST) circuit compared to HCs.

Conclusions

Differences in dFC within and between DMN and SMN can be used to distinguish depressed and euthymic states in bipolar patients. The hyperconnectivity within and between DMN and SMN may be a state feature of depressed BD. The abnormal connectivity of the FST circuit can help identify euthymic BD from HCs.



中文翻译:

改变双相情感障碍情绪状态的动态功能连接

背景

本研究旨在确定双相情感障碍 (BD) 的情绪状态之间的大规模大脑动态功能连接 (dFC) 如何不同。作者使用静息状态功能磁共振成像 (rsfMRI) 数据分析了处于抑郁和心境正常状态的 BD 受试者的 dFC,并将这些状态与健康对照 (HC) 进行了比较。

方法

20 名抑郁发作的 BD 受试者、23 名心境正常的 BD 受试者和 31 名匹配的 HC 接受了 rsfMRI 扫描。使用整个大脑的现有分区,我们测量了大脑区域之间的 dFC,并确定了组间大脑网络连接的不同模式。

结果

在全脑 dFC 分析中,躯体运动网络 (SMN) 中左侧颞上回 (STG)、默认模式网络 (DMN) 中右侧颞中回 (MTG) 和双侧中央后回 (PoG) 之间的连通性) 在抑郁 BD 的 DMN 中大于 euthymic BD,而在这些大脑区域中,euthymic BD 和 HCs 之间没有显着差异。与 HC 相比,心境正常的 BD 患者在额-纹状体-丘脑 (FST) 回路中存在异常。

结论

DMN 和 SMN 内部和之间的 dFC 差异可用于区分双相患者的抑郁和情绪愉悦状态。DMN 和 SMN 内部和之间的超连接可能是抑郁 BD 的状态特征。FST 电路的异常连接有助于从 HC 中识别出正常的 BD。

更新日期:2020-10-30
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