This observational cohort study (n=540) aims to gather unified data from a large cohort of patients with Major Depressive Disorder (MDD) undergoing various treatment (including ketamine & esketamine) options to identify optimal biomarkers for depression treatments at the individual patient level.
PREDICT is a prospective observational cohort collecting standardised TD-fNIRS (Kernel Flow2) and clinical data from adults starting treatment for MDD across separate cohorts: ketamine, esketamine (SPRAVATO), TMS, and antidepressant medication.
fNIRS measurements are taken at pre-treatment and at early- and post-treatment visits (timing varies by cohort). Data are observational only and will not influence clinical treatment decisions; the primary aim is to identify biomarkers predictive of individual treatment response.
Participants starting ketamine treatment; fNIRS measured at pre-treatment, early-treatment, and post-treatment visits.
Kernel Flow2 fNIRS measurement at pre-treatment, early-treatment, and post-treatment visits.
Participants starting SPRAVATO (esketamine) treatment; fNIRS measured at pre-treatment, early-treatment, and post-treatment visits.
Kernel Flow2 fNIRS measurement at pre-treatment, early-treatment, and post-treatment visits.
Participants starting TMS treatment; fNIRS measured at pre-treatment, early-treatment, and post-treatment visits.
Kernel Flow2 fNIRS measurement at pre-treatment, early-treatment, and post-treatment visits.
Participants starting antidepressant medication; fNIRS measured at pre-treatment and short-term efficacy visit.
Kernel Flow2 fNIRS measurement at pre-treatment and short-term efficacy visit.