Machine learning classification of fNIRS signals in patients with major depressive disorder and healthy controls
ObjectiveTo determine whether combining resting-state and the verbal fluency task (VFT) prefrontal fNIRS features with machine learning can distinguish patients with MDD from healthy controls (HCs), and to clarify the relative contributions of functional connectivity (FC) versus amplitude features to classification.MethodsWe enrolled 98 patients with MDD and 51 HCs, matched on age, sex,…
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