Medicine and Health
Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
S. Gallo, A. El-gazzar, et al.
This groundbreaking research by Selene Gallo and colleagues employed machine learning to uncover potential neurophysiological signatures of major depressive disorder (MDD) through fMRI data. Notably, the findings suggest thalamic hyperconnectivity as a key feature differentiating MDD patients from healthy controls, paving the way for new insights into depression diagnosis.
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