Distinct patterns of default mode network functional connectivity between adolescents with bipolar disorder and major depressive disorder - Summary - MDSpire
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Distinct patterns of default mode network functional connectivity between adolescents with bipolar disorder and major depressive disorder
To elucidate the neural mechanisms that distinguish bipolar disorder (BD) from major depressive disorder (MDD) in adolescents.
Approach:
Participants: 122 adolescents (43 with BD, 39 with MDD, and 40 healthy controls) completed resting-state functional magnetic resonance imaging (rs-fMRI).
Analysis: Voxel-level seed-based functional connectivity (FC) analysis using default mode network (DMN) subregions and machine learning classification were applied.
Key Findings:
BD patients exhibited significantly reduced FC between the anterior medial prefrontal cortex (aMPFC) and regions including the bilateral superior temporal gyrus (STG), right temporal pole (TPOsup), and left middle temporal gyrus (MTG).
MDD patients showed stronger FC between the aMPFC and left STG, and between the posterior inferior parietal lobule (pIPL) and right inferior frontal gyrus (IFG).
No significant MDD–HC differences were detected in these circuits.
Machine-learning analyses showed modest classification performance with a pooled out-of-fold AUC of 0.609, accuracy of 0.598, sensitivity of 0.564, and specificity of 0.628.
Interpretation:
Distinct patterns of DMN connectivity between BD and MDD may provide neurobiological markers for differentiating these disorders.
Limitations:
The study did not find significant associations between altered DMN FC and clinical symptoms.
Machine learning classification performance was modest and unstable.
Conclusion:
Adolescents with MDD and BD exhibit different DMN connectivity patterns.
