Abstract:Computational neuroimaging has played a central role in characterizing functional abnormalities in major depressive disorder (MDD). However, most of existing non-invasive analysis tools based on functional magnetic resonance imaging (fMRI) are largely descriptive and superficial, thus cannot offer a deep mechanistic understanding of neural circuit dysfunction in MDD. To overcome this limitation, we significantly improved a previously developed Multiscale Neural Model Inversion (MNMI) framework that can link me… Show more
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