Structural imaging predictors of ketamine response in treatment-resistant depression: a machine learning approach

Abstract Ketamine has demonstrated rapid antidepressant efficacy in treatment-resistant depression (TRD), but clinical decision-making is challenging due to variability in individual response. Current trial-and-error prescribing practices may expose patients to ineffective treatment and avoidable ad...

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Detaylı Bibliyografya
Asıl Yazarlar:	Linda Bryant, Laith Alexander, Sergio Mena, Yael Jacob, Jenna Jubeir, Mu Li, Philipp T. Neukam, Laurel S. Morris, James W. Murrough, Rebecca Price, Nikolaos Koutsouleris, Mitul A. Mehta, Mario Juruena, Fiona Coutts, Paris Alexandros Lalousis
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Nature Publishing Group 2026-05-01
Seri Bilgileri:	Translational Psychiatry
Online Erişim:	https://doi.org/10.1038/s41398-026-04085-4
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Structural imaging predictors of ketamine response in treatment-resistant depression: a machine learning approach

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