Sample heterogeneity in unipolar depression as assessed by functional connectivity analyses is dominated by general disease effects

Combinations of resting-state fMRI and machine-learning techniques are increasingly employed to develop diagnostic models for mental disorders. However, little is known about the neurobiological heterogeneity of depression and diagnostic machine learning has mainly been tested in homogeneous samples...

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