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UID:152@womenshealthresearchcluster.com
DTSTART;TZID=America/Vancouver:20230925T090000
DTEND;TZID=America/Vancouver:20230925T103000
DTSTAMP:20250106T201108Z
URL:https://womenshealthresearchcluster.com/events/leveraging-brain-based-
 predictive-modelling-study-sex-gender-and-behaviour/
SUMMARY:Leveraging Brain-Based Predictive Modelling to Study Sex\, Gender\,
  and Behaviour
DESCRIPTION:\n\nSpeaker: Dr. Elvisha Dhamala\, Assistant Professor\, Ins
 titute of Behavioral Sciences\, Director\, Brain-Based Predictive Modelin
 g Laboratory\n\nElvisha Dhamala\, PhD is an Assistant Professor in the Ins
 titute of Behavioral Sciences at the Feinstein Institutes for Medical Rese
 arch and the Zucker Hillside Hospital at Northwell Health and the director
  of the Brain-Based Predictive Modeling Laboratory. 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 Connectomic
 s) Lab. She completed her postdoctoral training as the inaugural Kavli Ins
 titute for Neuroscience Postdoctoral Fellow for Academic Diversity in the 
 Holmes Lab at Yale University. Her research program seeks to characterize 
 the neurobiological correlates of human behaviour\, with an emphasis on un
 derstanding the extent to which these brain-behaviour relationships are sh
 ared or unique across males and females in healthy and psychiatric populat
 ions. This research focus is largely motivated by the search for sex- and 
 gender- specific neural underpinnings of complex behaviours\, which may un
 derlie distinct manifestations of affective and psychotic psychopathology 
 in males and females.\n\nTalk summary:\n\nA fundamental question across ne
 uroscience and psychology is the extent to which males and females differ 
 from one another in terms of brain\, behaviour\, and brain-behaviour relat
 ionships. In this talk\, I will provide an overview of how machine learnin
 g predictive modelling approaches can be leveraged to study the neurobiolo
 gical correlates of sex\, gender\, and distinct behaviours across healthy 
 and clinical populations. I will then present findings from a series of st
 udies evaluating whether shared or unique neural correlates underlie cogni
 tive abilities\, mental health traits\, and psychiatric diagnoses in males
  and females. Finally\, I will argue that these predictive modelling appro
 aches can provide us with clinically-relevant insights that can subsequent
 ly inform the development of personalised early intervention and diagnosti
 c strategies for psychiatric illnesses.\n\nMentorship opportunity: \n\nI
 mmediately following Dr. Dhamala's presentation\, audience members will 
 have the opportunity to hear more about Dr. Dhamala's career. This is an
  excellent opportunity for trainees to ask questions and learn more abou
 t careers in women's health.\n\nAgenda:\n\n9-9:45 : Speaker presentation\n
 \n9:45-10:00: Question and answer period\n\n10-10:30: Mentorship session\n
 \n&nbsp\;
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CATEGORIES:Women’s Health Seminar Series
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