25 February 2021
10:00 - 11:30 AM
Virtually via Zoom
Etay Hay (KCNI)

Reduced inhibition in depression degrades cortical processing in human neuronal microcircuits

Abstract: Depression is the leading cause of disability in Canada and worldwide. Recent studies implicate a reduction in circuit inhibition as a mechanism underlying some of the cognitive deficits associated with depression. We integrate cellular, circuit and gene-expression data from human cortical tissue into detailed computational models of human cortical microcircuits in health and depression. We use these models to study the implications of reduced inhibition in depression on cortical processing, and thus establish the underlying mechanisms. We are further using these computational models and results to test new pharmacology for depression in-silico, and identify high-resolution biomarkers in clinically-relevant brain signals to improve diagnosis and monitoring of depression and mental health.

Brief Bio: Dr. Etay Hay is an Independent Scientist at Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health. He is an Assistant Professor in the Department of Psychiatry, and the Department of Physiology at the University of Toronto. Dr. Hay’s research uses computational models of cortical microcircuits to study the mechanisms of brain processing in health and mental disorders. Dr. Hay and his team integrate human cellular, circuit and gene-expression data to develop detailed computational models of human cortical microcircuits in health, depression and schizophrenia. Hay lab uses the models to better understand the neuronal circuit mechanisms of brain function and mental health, test in silico new pharmacology for treatment, and identify high-resolution biomarkers in clinically-relevant brain signals to improve the diagnosis and monitoring of mental health.


See below for link to join via zoom:

Topic: KCN Event: Etay Hay

Time: Feb 25, 2021 10:00 Eastern Time (US and Canada)

Join Zoom Meeting

https://utoronto.zoom.us/j/85104313708

Meeting ID: 851 0431 3708

Passcode: 220715


Recording available on kcnhub youtube channel:

https://www.youtube.com/watch?v=SKKQxxL2J5k&t=2164s