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Elvisha Dhamala

2023-10-03 @ 13:00 - 14:00 EDT

Please join us on Wednesday, October 3, 2023, 1:00 PM, for the next CIC Imaging Series.

 

Speaker

Elvisha Dhamala

 

Title

Leveraging Brain-Based Predictive Models to Study Sex, Gender, and Behaviour

 

Description

A fundamental question across the brain sciences is the extent to which males and females differ from one another in terms of brain, behaviour, and brain-behaviour relationships. In this talk, I will provide an overview of how machine learning predictive modelling approaches can be leveraged to study the neurobiological correlates of sex, gender, and distinct behaviours across healthy and clinical populations. I will then present findings from a series of studies evaluating whether shared or unique neural correlates underlie cognitive abilities, mental health traits, and psychiatric diagnoses in males and females. Finally, I will argue that these predictive modelling approaches can provide us with clinically-relevant insights that can subsequently inform the development of personalised early intervention and diagnostic strategies for psychiatric illnesses.

 

Biography

Elvisha Dhamala is an Assistant Professor in the Institute of Behavioral Sciences at the Feinstein Institutes for Medical Research and the Zucker Hillside Hospital. She earned her BSc in Neuroscience in 2017 from McGill University, and her PhD in Neuroscience from Weill Cornell Medicine in 2021 in the CoCo (Computational Connectomics) Lab. She completed her postdoctoral training as the inaugural Kavli Institute for Neuroscience Postdoctoral Fellow for Academic Diversity in the Holmes Lab at Yale University. Her research interests lie at the intersection of sex, gender, brain, and behaviour. 

 

*** PLEASE NOTE THAT THIS WILL BE A HELD IN PERSON IN THE BOWERMAN ***

Details

Date:
2023-10-03
Time:
13:00 - 14:00 EDT
Event Category:

Venue

Bowerman Room, Dobell Pavilion, Douglas Institute
6875 boul. LaSalle
Montreal, Quebec H4H 1R3 Canada
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Phone
514-761-6131
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