David Benrimoh
Wed, Feb 26
|Bowerman room
Imaging for Deriving Computationally-informed targets for rTMS in Psychosis Risk: Opportunities from the ProNET Dataset


Time & Location
Feb 26, 2025, 2:00 PM – 3:00 PM EST
Bowerman room, on, 6875 Bd LaSalle, Verdun, QC H4H 2G9, Canada
About the Event
Dr. David Benrimoh is a neuropsychiatrist at McGill. He completed a MSc in Neuroscience at UCL and a second MSc in Psychiatry at McGill working with Dr. Simon Ducharme on transdiagnostic imaging in psychosis. At McGill, Dr. Benrimoh leads the McGill Center for Computational Psychiatry and Translation (McPsyt). This project will focus on Computational Psychiatry as a unifying framework to tie together neurobiological, cognitive, clinical, social, and societal levels of explanation of psychiatric illness to develop improved mechanistic understanding of these illnesses, as well as predictive models. The center will develop and test novel treatments aimed at reducing the severity, incidence, and burden of psychiatric disease. We will also use digital mental health tools as mechanisms for the collection of data and delivery of interventions. Their current focus is in understanding early psychosis.
There is no current treatment that directly targets mechanisms underlying the transition to psychosis in those at high risk for psychosis. An emerging opportunity is the use of repetitive transcranial magnetic stimulation, given its safety, targetability, and low side effect burden, in the at-risk population. In order to accomplish this, we must develop appropriate treatment targets. This talk will explore the use of novel imaging datasets in high risk patients (the novel ProNET dataset) as well as computational psychiatry approaches to help define potential treatment targets.
* To register for remote access, follow this link : https://us06web.zoom.us/meeting/register/r3npG4eTSbubXr_YrmcDPg