Solving Problems in Mental Health Using Multi-Scale Computational Neuroscience. Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto.
The Krembil Centre for Neuroinformatics is excited to offer a five-day intensive project-based learning week where trainees will learn hands-on techniques for integrating multi-scale neuroscience data. This course is designed to introduce participants to the concepts and methods behind psychiatric neuroinformatics - encompassing genetics, brain structure and function, and cognition. In addition, participants will uncover the links between modalities of human genomics, neuronal electrophysiology, structural and functional neuroimaging, and observed behaviour that KCNI scientists are integrating through a series of virtual modules and a group-based project using real-world data types to study mental illness.
This unique learning opportunity will prepare participants to handle and analyze multiple data types in hopes that their own research may benefit from collaborative, multi-modal approaches. Critically, participants will also learn about best practices for data management and quality control in the context of integrative analysis.
02-Topics & Instructors
Major topics covered:
Psychiatric epidemiology and framing the central issue of heterogeneity in mental illness
Psychiatric genetics, translating germ-line genetic variation into individual brain function
Neuronal population activity in cortical microcircuits, and the relationship to brain signals observable in clinic
Whole-brain meso-scale structural and functional variation
Bayesian models of perception and learning; applications to neuroimaging and electroencephalography
Population-based subtyping and the identification of genetically determined neural dynamics in clinical cohorts
Putting it all together: using whole-person data from each scale to identify subtypes of psychiatric patients with
distinct symptomatic and functional trajectories using biostatistical approaches
Ethics, Fairness and Health Equity: Explore the ethical dimensions of data collection, curation and model building and their impact on fairness and health equity using concrete tools and best practices
We will be contacting those selected to attend the summer school with an invitation to register (at a minical cost of $50). This year, we intend our project week will be offered in-person, at the Krembil Centre for Neuroinformatics in the Centre for Addiction and Mental Health (250 College Street) Toronto, Canada.
Eligibility and prerequisites:
Applications from senior undergraduate students, graduate students, post-graduate research and clinical fellows, as well as early-career scientists will be considered.
To ensure that all attendees can fully follow and benefit from the practical assignments, some minimal and demonstrable experience in R and Python is a minimum requirement.
No previous formal training in psychiatry or informatics is necessary, however - and researchers from diverse backgrounds (e.g. medicine, computer science, biology, psychology, engineering etc.) are encouraged to apply.
Total Enrolment (project week): 30
Note: there is not need to pre-register or apply for our virtual seminars or learning materials - these are open to all.
Project Week 2023
When July 10-14, 2023
Intended Audience: Graduate Students, Post-Graduate Research and Clinical Fellows, as well as Early-Career Scientists with interest in learning more about Neuroinformatics
Where: In-person at the Krembil Centre for Neuroinformatics, 12th Floor, 250 College Street, Toronto, Canada
Cost: Minimal ($50), only 30 spots available
costs for travel and local accommodation (Toronto, Canada) are not provided.
Applied Ethics in Machine Learning - Dr. Daniel Buchman
Fairness - Justice Equity, Diversity and Inclusion - and Health Equity - Drs Laura Sikstrom & Marta Maslej
Digital Health for Mental Health - Dr Abishek Pratap
Fundamental Methods for Genomic Analysis - Dr Daniel Felsky
Fundamental Methods for Single-Cell Transcriptome Analysis - Dr Shreejoy Tripathy and the Computational Genomics Group
Simulating Brain Microcircuit Activity and Signals in Mental Health - Dr Etay Hay and Frank Mazza of the Brain Circuit Modeling Group
Neuroimaging Connectomics - Drs John Griffiths and Erin Dickie
Whole-Brain Modelling - Dr John Griffiths and the Whole Brain Modeling Group
Bayesian Models of Learning and Integration of Neuroimaging Data - Dr Andreea Diaconescu and the Cognitive Network Modeling Lab
Population-Based Data Resources & Integrative Research Methods - Drs Daniel Felsky and Joanna Yu - KCNI Brain Health Databank
This year, we intend our project week will be offered in-person (barring new pandemic restrictions), at the Krembil Centre for Neuroinformatics in the Centre for Addiction and Mental Health (250 College Street) Toronto, Canada.