Distinct connectivity patterns in bipolar and unipolar depression: a functional connectivity multivariate pattern analysis study

• Published in: BMC neuroscience 2024-09, Vol.25 (1), p.46-13, Article 46
• Main Authors: Pastrnak, Martin, Klirova, Monika, Bares, Martin, Novak, Tomas
• Format: Article
• Language: English
• Subjects: Adult; Bipolar disorder; Bipolar Disorder - diagnostic imaging; Bipolar Disorder - physiopathology; Brain - diagnostic imaging; Brain - physiopathology; Brain Mapping - methods; Comparative analysis; Connectome - methods; Cross-Sectional Studies; Depressive Disorder, Major - diagnostic imaging; Depressive Disorder, Major - physiopathology; Diagnosis; Diagnosis, Differential; Female; Functional connectivity; Humans; Magnetic Resonance Imaging - methods; Major depressive disorder; Male; Methods; Middle Aged; Multivariate Analysis; Multivariate pattern analysis; Nerve Net - diagnostic imaging; Nerve Net - physiopathology; Neural circuitry; Neural Pathways - diagnostic imaging; Neural Pathways - physiopathology; Psychiatric research; Resting state
• ISSN: 1471-2202; 1471-2202
• DOI: 10.1186/s12868-024-00895-8

Patients with bipolar disorder (BD) and major depressive disorder (MDD) exhibit depressive episodes with similar symptoms despite having different and poorly understood underlying neurobiology, often leading to misdiagnosis and improper treatment. This exploratory study examined whole-brain functional connectivity (FC) using FC multivariate pattern analysis (fc-MVPA) to identify the FC patterns with the greatest ability to distinguish between currently depressed patients with BD type I (BD I) and those with MDD. In a cross-sectional design, 41 BD I, 40 MDD patients and 63 control participants completed resting state functional magnetic resonance imaging scans. Data-driven fc-MVPA, as implemented in the CONN toolbox, was used to identify clusters with differential FC patterns between BD patients and MDD patients. The identified cluster was used as a seed in a post hoc seed-based analysis (SBA) to reveal associated connectivity patterns, followed by a secondary ROI-to-ROI analysis to characterize differences in connectivity between these patterns among BD I patients, MDD patients and controls. FC-MVPA identified one cluster located in the right frontal pole (RFP). The subsequent SBA revealed greater FC between the RFP and posterior cingulate cortex (PCC) and between the RFP and the left inferior/middle temporal gyrus (LI/MTG) and lower FC between the RFP and the left precentral gyrus (LPCG), left lingual gyrus/occipital cortex (LLG/OCC) and right occipital cortex (ROCC) in MDD patients than in BD patients. Compared with the controls, ROI-to-ROI analysis revealed lower FC between the RFP and the PCC and greater FC between the RFP and the LPCG, LLG/OCC and ROCC in BD patients; in MDD patients, the analysis revealed lower FC between the RFP and the LLG/OCC and ROCC and greater FC between the RFP and the LI/MTG. Differences in the RFP FC patterns between currently depressed patients with BD and those with MDD suggest potential neuroimaging markers that should be further examined. Specifically, BD patients exhibit increased FC between the RFP and the motor and visual networks, which is associated with psychomotor symptoms and heightened compensatory frontoparietal FC to counter distractibility. In contrast, MDD patients exhibit increased FC between the RFP and the default mode network, corresponding to sustained self-focus and rumination.