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Shared and distinct changes in local dynamic functional connectivity patterns in major depressive and bipolar
Qin Tang1, Qian Cui2, Yuyan Chen1
1The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Journal of Affective Disorders
|October 29, 2021
Summary
Neuroimaging reveals distinct functional connectivity patterns in bipolar depressive disorder (BDD) and major depressive disorder (MDD). These findings may aid in differentiating the two conditions and guiding treatment strategies.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Differentiating bipolar depressive disorder (BDD) from major depressive disorder (MDD) using clinical symptoms alone is difficult.
- Neuroimaging studies suggest potential neurological markers for distinguishing these conditions.
Purpose of the Study:
- To identify common and specific alterations in dynamic local functional connectivity patterns in BDD and MDD.
- To utilize dynamic regional phase synchrony (DRePS) for assessing intrinsic dynamic local functional connectivity.
Main Methods:
- Included 98 MDD patients, 56 BDD patients, and 97 healthy controls (HC).
- Utilized resting-state functional magnetic resonance imaging (fMRI).
- Applied dynamic regional phase synchrony (DRePS) for connectivity analysis.
Main Results:
- Both BDD and MDD patients showed decreased DRePS in regions including the orbitofrontal cortex, insula, hippocampus, and thalamus compared to HC.
- MDD patients specifically exhibited decreased DRePS in the left caudate.
- Voxel signal analysis in these regions aided in classifying BDD and MDD.
Conclusions:
- The study provides insights into the neural mechanisms underlying BDD and MDD.
- Findings may inform differential diagnosis and treatment strategies for these mood disorders.
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