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Learning Modules

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Computing Fundamentals

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Reproducible Science


Day 1: Welcome! Understanding Clinical Research Questions and Reproducible Science (July 5, 2021)

Instructors: Erin Dickie, Sean Hill, Sejal Patel, Victor Tang, Brett Jones

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Time (EST)
Session

9:00-10:30
Lecture 1: Welcome and Orientation
Watch on Crowdcast
10:45-12:15
Lecture 2:  Problems and opportunities in the diagnosis and treatment of major depression
Watch on Crowdcast
1:00-2:30pm
Workshop 1: Guiding principles for FAIR and open science
Watch on Crowdcast
2:45-4:15pm
Workshop 2: Tools for Reproducible Science
Watch on Crowdcast

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Problems and opportunities in the diagnosis and treatment of major depression

 (July 5, 2021)

Instructors:

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Victor Tang, Brett Jones

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Time (EST)
Session

9:00-10:30
Lecture 1: Welcome and Orientation
Watch on Crowdcast
10:45-12:15
Lecture 2:  Problems and opportunities in the diagnosis and treatment of major depression
Watch on Crowdcast
1:00-2:30pm
Workshop 1: Guiding principles for FAIR and open science
Watch on Crowdcast
2:45-4:15pm
Workshop 2: Tools for Reproducible Science
Watch on Crowdcast

Day 1: Welcome! Understanding Clinical Research Questions and Reproducible Science (July 5, 2021)

Instructors: Erin Dickie, Sean Hill, Sejal Patel, Victor Tang, Brett Jones
TA's: Kevin Kadak, Taha Morshedzadeh, Kevin Witczak
Time (EST)
Session

9:00-10:30
Lecture 1: Welcome and Orientation
Watch on Crowdcast
10:45-12:15
Lecture 2:  Problems and opportunities in the diagnosis and treatment of major depression
Watch on Crowdcast
1:00-2:30pm
Workshop 1: Guiding principles for FAIR and open science
Watch on Crowdcast
2:45-4:15pm
Workshop 2: Tools for Reproducible Science
Watch on Crowdcast

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Applied Ethics in Machine Learning and Mental Health 

Instructors: Daniel Buchman, Marta Maslej & Laura Sikstrom

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Zoom Q&A
Session
Video LinkVideo durationMaterialsPre-discussion watch party

Lecture 1: Introduction to AI Ethics
Watch on Crowdcast



Lecture 2:  Fairness and Health Equity
Watch on Crowdcast



Workshop 1: Research Design, Data Collection, Model Construction and Validation
Watch on Crowdcast



Workshop 2: Analysis, Interpretation and Knowledge Exchange and/or Translation
Watch on Crowdcast

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Day 3: Fundamental Methods for Genomic and Single-Cell Transcriptome Analysis (July 7, 2021)

Instructors:  Shreejoy Tripathy & Dan Felsky

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Time (EST)
Session

9:00-10:30
Lecture 1: Basics of genotype, central dogma, GWAS, and polygenic risk scores
Watch on Crowdcast
10:45-12:15
Lecture 2:  Transcriptomics at the single-cell and bulk level level
Watch on Crowdcast
1:00-2:30pm
Workshop 1: Intro to transcriptomic data types, including single-cell and bulk RNAseq
Watch on Crowdcast
2:45-4:15pm
Workshop 2: Explore cellular changes in major depression using bulk and single-cell RNAseq data
Watch on Crowdcast

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Day 4: Simulating Brain Microcircuit Activity and Signals in Mental Health (July 8, 2021)

Instructors: Etay Hay & Frank Mazza
Time (EST)
Session

9:00-10:30
Lecture 1: Simulating brain microcircuit activity in mental health
Watch on Crowdcast
10:45-12:15
Lecture 2: Simulating EEG from brain microcircuits in mental health
Watch on Crowdcast
1:00-2:30pm
Workshop 1: Simulating and analyzing spiking from neurons and microcircuits
Watch on Crowdcast
2:45-4:15pm
Workshop 2: Simulating and analyzing EEG signals from brain microcircuits
Watch on Crowdcast

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Day 5: Whole-Brain Modelling and Neuroimaging Connectomics (July 9, 2021)

Instructors: Erin Dickie & John Griffiths

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Time (EST)
Session

9:00-10:30
Lecture 1: Introduction to neuroimaging connectomics
Watch on Crowdcast
10:45-12:15
Workshop 1: Calculating Neuroimaging Connectomes
Watch on Crowdcast
1:00-2:30pm
Lecture 2: Intro to whole-brain modelling (Lecture)
Watch on Crowdcast
2:45-4:15pm
Workshop 2: simulating whole-brain activity, EEG, evoked responses, brain stimulation
Watch on Crowdcast

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Day 6: Bayesian Models of Learning and Integration of Neuroimaging Data (July 12, 2021)

Instructors: Andreea Diaconescu

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Time (EST)
Session

9:00-10:30
Lecture 1: Digital Health for Mental health
Watch on Crowdcast
10:45-12:15
Lecture 2: Population-based resources and the BrainHealth Databank
Watch on Crowdcast
1:00-2:30pm
Workshop 1: accessing reproducible datasets from Synapse as part of integrated workflow
Watch on Crowdcast
2:45-4:15pm
Workshop 2: Introduction to interactive methods
Watch on Crowdcast

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Day 8:  Integrative Research Methods and Final Panel Discussion (July 14, 2021)

Instructors: Daniel Felsky & Abhi Pratap + All Instructor Panel

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Time (EST)
Session

9:00-10:30
Lecture 1: Types of integrative research and Whole Person Modelling
Watch on Crowdcast
10:45-12:15
Workshop: SNF / Subtyping
Watch on Crowdcast
1:00-2:30pm
Group Panel Discussion
Watch on Crowdcast
2:45-4:15pm
Final Social Hour
Watch on Crowdcast



Additional Lecture Content (no zoom Q&A event)

"A Multiscale Approach to Brain Disorders” - presented by Sean Hill, 

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Presented by: Sean Hill, Ph.D. Director, Krembil Centre for Neuroinformatics Senior Scientist, Centre for Addiction and Mental Health Professor, Departments of Psychiatry and Physiology, University of Toronto, Canada Titular Professor, École Polytechnique Fédérale de Lausanne, Switzerland krembilneuroinformatics.ca

Recorded on July 5, 2021 as a part of the Centre for Addiction and Mental Health’s Krembil Centre for Neuroinformatics (KCNI) Summer School, (CAMH KCNI SS)

Slides available from:  https://github.com/krembilneuroinformatics/kcni-school-lessons/blob/8ef714f18125ff7f905ef61c97a995bc18e705a2/day1/KCNISS_day1_1_Hill-compressed.pdf

KCNI Summer School schedule and materials at:  https://github.com/krembilneuroinformatics/kcni-school-lessons

© Centre for Addiction and Mental Health, all rights reserved.


Lecture:  “A Multiscale Approach to Brain Disorders”

Presented by: Sean Hill, Ph.D. Director, Krembil Centre for Neuroinformatics Senior Scientist, Centre for Addiction and Mental Health Professor, Departments of Psychiatry and Physiology, University of Toronto, Canada Titular Professor, École Polytechnique Fédérale de Lausanne, Switzerland krembilneuroinformatics.ca

Recorded on July 5, 2021 as a part of the Centre for Addiction and Mental Health’s Krembil Centre for Neuroinformatics (KCNI) Summer School, (CAMH KCNI SS)

Slides available from:  https://github.com/krembilneuroinformatics/kcni-school-lessons/blob/8ef714f18125ff7f905ef61c97a995bc18e705a2/day1/KCNISS_day1_1_Hill-compressed.pdf

KCNI Summer School schedule and materials at:  https://github.com/krembilneuroinformatics/kcni-school-lessons

© Centre for Addiction and Mental Health, all rights reserved.

Problems and opportunities in the diagnosis and treatment of major depression. Speakers: Victor Tang, Brett Jones, Recorded July 5, 2021

2020 Summer School Overview