Magnetoencephalography resting‐state spectral fingerprints distinguish bipolar depression and unipolar depression

Abstract

In combination with resting-state MEG data and machine learning technique, it is possible to make an individual and objective prediction for mode disorder types, which in turn has implications for diagnosis precision and treatment decision of mood disorder patients.