Common and distinct patterns of intrinsic whole-brain functional connectivity in unipolar and bipolar depression: A voxel-based meta-analysis

Poster Session A - Saturday, April 13, 2024, 2:30 – 4:30 pm EDT, Sheraton Hall ABC

Zachary Pierce¹ (zapierce11@gmail.com), Jessica Black¹; ¹Boston College

This poster presents meta-analytic findings of convergent and divergent patterns in whole-brain resting-state functional connectivity (rsFC) correlated with unipolar and bipolar depression. We conducted a systematic literature search and applied eligibility criteria, which revealed 50 articles fit for inclusion in our meta-analysis. We used the QUADAS-2 to assess article quality, which showed that our sample comprised high-quality articles. Our meta-analysis revealed convergent whole-brain rsFC in the R putamen, R PCC, R SMG, and R lingual gyrus among individuals with unipolar and bipolar depression. Our meta-analysis also revealed differential whole-brain rsFC between different default mode network nodes. We also found distinctly increased rsFC in subregions of the cerebellum in bipolar depression. Our meta-regression showed differential rsFC when factoring in symptom duration and test scores from symptomatological measures. All meta-analyses used Egger’s test of random effects to determine the risk of publication bias across all studies in our review sample (all p > .05). Our results may suggest that unipolar and bipolar depression differ considerably with respect to rsFC, especially across the default mode network.

Topic Area: EMOTION & SOCIAL: Emotion-cognition interactions