Major depressive disorder (MDD) is a clinically heterogeneous syndrome and commonly co-occur alongside symptoms of other psychiatric domains. It is challenging to identify the correspondence between these clinical heterogeneous and relevant neurobiological substrates and define neurophysiological subtypes of MDD. We used regularized canonical correlation analysis (rCCA) to assess a two-dimensional mapping between the intrinsic connectivity networks (ICNs) and clinical symptoms and thus aid in defined MDD subtypes. We then compared potential symptom severity and neural features alterations between these subtypes and further assess the association between these features.
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