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Category: future.

An Exploration of Shared Genetic Etiology Between Major Depression and Posttraumatic Stress Disorder

Using genomic SEM, I will explore the genetic overlap between major depressive disorder and posttraumatic stress disorder symptomatology to visualize their genetic similarities and differences.

Ashley Moo-Choy

Ashley Moo-Choy

May 2024

Category: current.

Interplay Between Genetics and Prenatal Pollution on Child Brain and Cognitive Development

Our study aims to investigate the interaction between genetic risk for four neurodevelopmental and psychiatric disorders and prenatal air pollution exposure on child cognition, behavior, and brain development.

Melissa Misztal

Melissa Misztal

November 2023

Category: current.

Differential Correlates of Suicidal Behaviour, Non-Suicidal Self-Injury and Their Combination in a Clinical Sample of Transitional-Aged Youth. A Cross-Sectional Case-Control Study

This exploratory analysis aims to characterize the TAY Cohort regarding differential categories of self-injurious thoughts and behaviours using clinical, demographic, and lifestyle factors of treatment-seeking youth in Toronto. Using a series of multivariable linear models, we compare different contrasts of SITB to identify unique and overlapping associations with a suite of measures collected at baseline.

Earvin S. Tio

Earvin S. Tio

September 2023

Category: current.

Investigation of Sex- and Age-Specific Effects of Genetic Risk for Depression on Peripheral Biomarkers

We indexed genetic risk for depression using polygenic risk scores and associated these scores with various circulating biomarkers to identify candidate biomarkers for depression. We then built complex linear models with a focus on age and sex effects to examine differences across human characteristcs and the human lifespan.

Earvin S. Tio

Earvin S. Tio

November 2022

Category: current.

Pilot Analysis of Semi-Supervised Biopsychosocial Subtyping in Psychiatric Treatment-Seeking Youth

The use of meta association-boosted similarity network fusion to identify groupings enriched for psychosis spectrum symptoms.

Denise Sabac

Denise Sabac

September 2022

Category: current.

A Transcriptomic Signature for Late-Life Depression

Using linear modeling and differential expression analysis I have defined transcriptomic and pathway signatures that are significantly associated with depressive symptoms in late-life.

Stuart Matan-Lithwick

Stuart Matan-Lithwick

September 2022

Category: current.

Whole Person Modeling of Adolescent Psychosis

I use machine learning to characterize the biopsychosocial measures associated with youth psychosis and better understand ther combined effects in confering risk and resilience

Akshay Mohan

Akshay Mohan

May 2022

Category: current.

Exploration of the Biopsychosocial Mechanisms of Suicidal Ideation Using a Whole-Person Approach

We applied an iterative modelling approach with different domains of data to fit machine learning models to self-reported self-injurious thoughts and behaviours (SITB) to evaluate the impact of each bio- psycho- and social- input features. We then applied post-hoc feature importance analyses to understand the stability and robustness of relative risk factors for SITB.

Earvin S. Tio

Earvin S. Tio

January 2022

Category: current.

Shared Neural Signature Between Sleep, Cognition, and Depression

How do brain dynamics change in association with sleep habits, cognitive abilites, and depression symptoms

Mohamed Abdelhack

Mohamed Abdelhack

July 2021