4.5 Article

Altered dynamic functional connectivity across mood states in bipolar disorder

期刊

BRAIN RESEARCH
卷 1750, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.brainres.2020.147143

关键词

Bipolar disorder; Dynamic functional connectivity; Depression; Euthymic; Network

资金

  1. National Key Research and Development Program of China [2016YFC130 7103]
  2. National Natural Science Youth Fund Project [81601192, 81701345]
  3. Shanxi province Raise funds for overseas returnee scholars in 2019 [2060399]
  4. Program for the Outstanding Innovative Teams of Higher Learning Institutions of Shanxi
  5. 136 Medical Rejuvenation Project of Shanxi Province

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This study examined the differences in large-scale brain dynamic functional connectivity between depressive and euthymic states in patients with bipolar disorder using rsfMRI data. The findings suggest that differences in connectivity within and between DMN and SMN networks can help distinguish between mood states in bipolar patients. Abnormal connectivity in the FST circuit may be a distinguishing feature of euthymic BD patients compared to healthy controls.
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.

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