4.7 Article

Resting state functional network switching rate is differently altered in bipolar disorder and major depressive disorder

Journal

HUMAN BRAIN MAPPING
Volume 41, Issue 12, Pages 3295-3304

Publisher

WILEY
DOI: 10.1002/hbm.25017

Keywords

bipolar disorder; dynamic networks configuration; fMRI; major depressive disorder; multilayer network method; network switching rate

Funding

  1. China Postdoctoral Science Foundation Grant [2019M653383]
  2. Youth Innovation Project of Sichuan Provincial Medical Association [Q14014]
  3. Scientific Research Project of Sichuan Medical Association [S15012]
  4. Key Project of Research and Development of Ministry of Science and Technology [2018AAA0100705]
  5. Natural Science Foundation of China [81771919, U1808204, 61533006]

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The clinical misdiagnosis ratio of bipolar disorder (BD) patients to major depressive disorder (MDD) patients is high. Recent findings hypothesize that the ability to flexibly recruit functional neural networks is differently altered in BD and MDD patients. This study aimed to explore distinct aberrance of network flexibility during dynamic networks configuration in BD and MDD patients. Resting state functional magnetic resonance imaging of 40 BD patients, 61 MDD patients, and 61 matched healthy controls were recruited. Dynamic functional connectivity matrices for each subject were constructed with a sliding window method. Then, network switching rate of each node was calculated and compared among the three groups. BD and MDD patients shared decreased network switching rate of regions including left precuneus, bilateral parahippocampal gyrus, and bilateral dorsal medial prefrontal cortex. Apart from these regions, MDD patients presented specially decreased network switching rate in the bilateral anterior insula, left amygdala, and left striatum. Taken together, BD and MDD patients shared decreased network switching rate of key hubs in default mode network and MDD patients presented specially decreased switching rate in salience network and striatum. We found shared and distinct aberrance of network flexibility which revealed altered adaptive functions during dynamic networks configuration of BD and MDD.

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