4.6 Article

Shared and distinct patterns of dynamic functional connectivity variability of thalamo-cortical circuit in bipolar depression and major depressive disorder

Journal

CEREBRAL CORTEX
Volume 33, Issue 11, Pages 6681-6692

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhac534

Keywords

bipolar disorder during a depressive episode; major depressive disorder; dynamic functional connectivity; thalamo-cortical circuitry; sliding-window

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Abnormalities in thalamo-cortical functional connectivity were found in bipolar disorder during a depressive episode and major depressive disorder. Thalamo-cortical dynamic connectivity patterns were explored by dividing the thalamus into subregions and using a sliding-window approach. Both patient groups showed increased variability in dynamic connectivity between thalamus subregions and certain brain regions, with bipolar disorder displaying more extensive aberrant connectivity. The disrupted dynamic connectivity could accurately distinguish between bipolar disorder and major depressive disorder.
Evidence has indicated abnormalities of thalamo-cortical functional connectivity (FC) in bipolar disorder during a depressive episode (BDD) and major depressive disorder (MDD). However, the dynamic FC (dFC) within this system is poorly understood. We explored the thalamo-cortical dFC pattern by dividing thalamus into 16 subregions and combining with a sliding-window approach. Correlation analysis was performed between altered dFC variability and clinical data. Classification analysis with a linear support vector machine model was conducted. Compared with healthy controls (HCs), both patients revealed increased dFC variability between thalamus subregions with hippocampus (HIP), angular gyrus and caudate, and only BDD showed increased dFC variability of the thalamus with superior frontal gyrus (SFG), HIP, insula, middle cingulate gyrus, and postcentral gyrus. Compared with MDD and HCs, only BDD exhibited enhanced dFC variability of the thalamus with SFG and superior temporal gyrus. Furthermore, the number of depressive episodes in MDD was significantly positively associated with altered dFC variability. Finally, the disrupted dFC variability could distinguish BDD from MDD with 83.44% classification accuracy. BDD and MDD shared common disrupted dFC variability in the thalamo-limbic and striatal-thalamic circuitries, whereas BDD exhibited more extensive and broader aberrant dFC variability, which may facilitate distinguish between these 2 mood disorders.

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