To develop and test a neurocomputational model of ketamine treatment response predictions in TRD.
The investigators propose applying a previously validated computational model of the MMN and the ensuing effects of NMDAR antagonism to predict treatment response following ketamine infusions in TRD patients and distinguish ketamine's antisuicidal effects from those related to mood improvements. The study has two subgoals: first, the computational mechanisms underlying MMN reductions that predict ketamine treatment response in TRD patients will be examined. Second, the computational mechanisms will be linked to their underlying neural causes using neural circuit models. Beyond understanding ketamine's short- and long-term mechanisms of action in TRD, the parameters obtained from fitting these models to noninvasive EEG recordings may facilitate single-patient treatment predictions. If successful, this approach may provide clinically useful prognostic statements in individual patients.
Study Type
OBSERVATIONAL
Enrollment
30
Participants suffering from TRD will receive their ketamine treatment intravenously twice weekly for two weeks (4 treatments in total). A dose of 0.5 mg/kg is infused over 40 minutes, with dose adjustments made at the psychiatrist's discretion.
St. Michael's Hospital
Toronto, Ontario, Canada
RECRUITINGClinical remission
Remission, defined as MADRS \<10, and suicide risk reduction is defined as a ≥ 50% reduction in the suicidal ideation item of the MADRS scale from baseline
Time frame: 4 weeks following the baseline visit
Modelling
Modelling the underlying cognitive and behavioural mechanisms to their neural causes from the effect of ketamine on TRD patients
Time frame: 2 weeks following the baseline visit
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.