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DOI 10.1016/j.brainres.2020.147143

Медицинская библиотека · Brain research · 2020

Altered dynamic functional connectivity across mood states in bipolar disorder.

Liu Min, Wang Yuchen, Zhang Aixia, Yang Chunxia, Liu Penghong, Wang Junyan, Zhang Kerang, Wang Yanfang, Sun Ning

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Liu Min, Wang Yuchen, Zhang Aixia, Yang Chunxia, Liu Penghong, Wang Junyan, Zhang Kerang, Wang Yanfang, Sun Ning. Altered dynamic functional connectivity across mood states in bipolar disorder.. Brain research. 2020. DOI: 10.1016/j.brainres.2020.147143.

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