A Cross-Sectional and Longitudinal Assessment of Dimensional and Categorical Approaches to Explain Individual Differences in Depression
Dr. Katharine Dunlop
Scientist at the Centre for Depression and Suicide Studies
St. Michael’s Hospital, and Assistant Professor of Psychiatry at the University of Toronto
Date: Friday, October 4, 2024
Time: 1–2 p.m. EDT
Host: TBD
Location: In-person and virtual
Li Ka Shing Knowledge Institute, Auditorium, and via Zoom
Refreshments will be served.
Lecture Takeaways
The main takeaways are as follows:
- Dimensional & categorical characterizations are: robust and stable during optimization; generalizable in holdout data; and generalizable longitudinally (even after rTMS).
- We note cases where subtyping approaches may not be optimal.
- Inter-individual variability in baseline & changes in symptoms may be useful in predicting antidepressant response.
Biography
Katharine Dunlop is a Scientist at the Centre for Depression and Suicide Studies, St. Michael’s Hospital, and an Assistant Professor of Psychiatry at the University of Toronto. Her lab’s overarching research goals address heterogeneity in MDD and suicide risk by developing circuit-based models that explain distinct dimensions of depressive symptomatology, behavioral heterogeneity, and antidepressant response to novel therapeutics. Her research spans three research domains: (1) discovering environmental- and brain-behavior relationships that explain heterogeneity in MDD and suicide risk; (2) optimizing novel neurostimulatory paradigms aimed at engaging circuits implicated in these relationships; and (3) collaborating alongside clinicians to test these biologically-informed interventions in MDD and individuals with high suicide risk.
No sign-up is required. For more information, contact the iBEST coordinator at ibest@torontomu.ca.
