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C-T Li

1 paper in the library · publishing 2026

Papers

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301. Multimodal MRI signatures predict ketamine antidepressant response in treatment-resistant depression: a machine-learning analysis of independent clinical trials

International Journal of Neuropsychopharmacology September 9, 2026 P-C Wu, T-P Su, C-T Li et al.

Abstract Background While ketamine produces rapid antidepressant effects in treatment-resistant depression (TRD), response heterogeneity necessitates robust biomarkers to optimize clinical decision-making. Aims & Objectives To validate a machine-learning (ML) framework for predicting ketamine antidepressant response from pre-treatment multimodal neuroimaging features across independent...