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Krembil Centre for Neuroinformatics Summer School

Solving Problems in Mental Health using Multi-Scale Computational Neuroscience

Distribution Date: June 2022

Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health

Topics

Table of Contents
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Introductory Concepts

A collection of lectures on overaching concepts in Neuroinformatics Research.

Join us for the Krembil Centre For Neuroinformatics Open House!

Introductory Concepts (July 5, 2021)

Watch on Crowdcast

Topic

Instructor

VideoSlides

A Multiscale Approach to Brain Disorders
Expand
titleSean Hill

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

YouTube (1:09:33)
slides

Problems and opportunities in the diagnosis and treatment of major depression
Expand
titleVictor Tang & Brett Jones

Victor Tang MD MSc, Clinician-Scientist/Resident,Centre for Addiction and Mental Health, Twitter: @victormarktang

Brett Jones MD MSc, Clinician-Scientist/Resident, Centre for Addiction and Mental Health

Watch on Crowdcast
YouTube (1:29:28)
slides

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Computing Fundamentals

For those who need more help with computing fundamentals - going into the later content. We recommend content available from the KCNI Scientific Computing Working Group.

Online
TopicTutorial Videos / Online TutorialsPrerequisit to
RR Workshop Material (Apr-Jun 2022)
  • Fundamental Methods for Genomic Analysis
  • Fundamental Methods for Single-Cell Transcriptome Analysis
PythonIntroduction to Python
  • Simulating Brain Microcircuit Activity and Signals in Mental Health
  • Neuroimaging Connectomics
  • Whole Brain Modeling
Those working with imaging data
Git/GithubIntroduction to Git and GitLab
Linux/BashIntroduction to Linux and Bash (Youtube)

many recordings available via from last falls series. 2021 Fall - SCWG Workshop Recordings


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Reproducible Science (including Git, Docker and Binder) 


Instructors1:00-2:30pm Tools
2022 Watch Party Time (EST)
Session
VideoMaterials
Workshop 1: Guiding principles for FAIR and open science
Erin Dickie, Sejal Patel
Expand
titleOutline

Why reproducible science?

The things you need to know to get through this course:

Versioning and publishing code (github)

Versioning and publishing software (docker)

Watch on
 Crowdcast
Youtube
slides2:45-4:15pm
Workshop 2:
Tools for Reproducible Science
Erin Dickie, Sejal Patel
Expand
titleOutline

R with Rmarkdown (walk through)

Python in ipython notebooks (walk through)

     -also google colab

The fancy bits:

  - building your own binder environments

  - building your own containers (docker & singularity)

Watch on
 Crowdcast
YouTube

github code

rstudio example BinderImage Added jupyter example BinderImage Added


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Applied Ethics in Machine Learning and Mental Health 

 Introduction Marta Maslej &
2022 Watch Party Time
Topic
InstructorVideoMaterials
Lecture 1:
Introduction to AI Ethics
Daniel Buchman
Watch on 
Crowdcast
YouTube (1:22:07)
slides
Lecture 2:  Fairness and Health Equity
Laura Sikstrom
Watch on 
Crowdcast
Youtube (1:06:36)
slides
Workshop 1: Research Design, Data Collection, Model Construction and Validation -
Part 2: Intersectional Bias Assessment 
Marta Maslej & Laura Sikstrom
Watch on 
Crowdcast
Workshop 2: Analysis, Interpretation and Knowledge Exchange and/or Translation
Marta Maslej & Laura Sikstrom
Youtube (52:27)

All videos previously recorded July 6th, 2021 as part of the KCNI Summer School


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Digital Health for Mental Health

Dr. Abhishek (Abhi) Pratap

Independent Scientist & Lead of the Augmented Intelligence and Digital Tech for Mental Health (AID 4 Mental Heath) Lab,
The Krembil Centre for Neuroinformatics, Campbell Family Mental Health Research Institute, CAMH

Computing environment: Python (jupyter)

Session
InstructorVideoMaterials
Lecture 1: Digital Health for Mental health
Abhi Pratap
Youtube (1:20:28)
Workshop 1: accessing reproducible datasets from Synapse as part of integrated workflow
Abhi Pratap
YouTube (1:15:12)
Watch on Crowdcast

All videos previously recorded July 6th13th, 2021 as part of the KCNI Summer School


The workshop demostates how to work with the Synapse platform.

Expand
titleHow to get a Synapse Account

Workshop 1 will use push and pull data to the synapse platform for sharing biomedical datasets using the synapseClient python package. In order to be able to run all the commands in tutorial 1, a "verified" synapse account is required. For folks who are not able to create an account or get certified before the session tomorrow the instructor will cover the concepts for tractable data analysis that can still be generally applicable beyond synapse platform. Getting a Verified Account is a two step process.


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Fundamental Methods for Genomic Analysis

Instructor:

Presented by Dr Dan, Felsky - Independent Scientist and Head of Whole Person Modelling at KCNI, Assistant Professor in the Department of Psychiatry, University of Toronto. Assistant Professor at the Dalla Lana School of Public Health, University of Toronto.

  • ​Dr Felsky has a PhD in neuroimaging and genetics of Alzheimer’s disease at U of T,  Postdocs in computational neuroimmunology and bioinformatics at Broad Institute, Harvard Medical School & Columbia University. 
Session
InstructorVideoMaterials
9:00-10:30
Time (EST)
Session
Lecture 1: Basics of genotype, central dogma, GWAS, and polygenic risk scores
Watch on Crowdcast
Dan Felsky
YouTube (1:
00-2:30pm
28:17)
 Intro to transcriptomic data types, including single-cell and bulk RNAseqDan Felsky
YouTube (1:27:18)
code (GitHub)
Workshop 2: Calculation of polygenic risk scores in PRSiceDan FelskyYouTube (1:53:34)code (GitHub)
Considering population stratification and admixture in modern GWAS; concepts and toolsDan FelskyRegister for the live webinarWatch on Crowdcast

All videos previously recorded July July 7th, 2021 as part of the KCNI Summer School


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Fundamental Methods for Single-Cell Transcriptome Analysis

(July 7, 2021)

Presented by

Instructors: 

Shreejoy Tripathy & the Computational Genomics Lab

  • Independent Scientist and Head of Computational Genomics at KCNI, Assistant Professor in the Department of Psychiatry, University of Toronto., Assistant Professor in the Department of Physiology, University of Toronto
  • PhD in Computational Neuroscience from Carnegie Mellon and Post-doc in neuroinformatics and bioinformatics at University of British Columbia.
Session
InstructorVideoMaterials
Dan Felsky
TA's:  Keon Arbabi, Sonny Chen, Micaela Consens, Amin Kharaghani

Recorded on July 7, 2021 as a part of the Centre for Addiction and Mental Health’s Krembil Centre for Neuroinformatics (KCNI) Summer School, (CAMH KCNI SS)

10:45-12:15
Time (EST)
Session
Lecture 1:  Transcriptomics at the single-cell and bulk level level
Watch on Crowdcast
Shreejoy Tripathy
YouTube (1:
00-2:30pm
29:08)
slides
Workshop 1: Intro to transcriptomic data types, including single-cell and bulk RNAseq
Watch on Crowdcast
Sonny Chen
YouTube (1:19:17)
2:45-4:15pm

Workshop 2: Explore cellular changes in major depression using bulk and single-cell RNAseq data
Keon Arbabi
YouTube (1:15:14)
Watch on Crowdcast

All videos previously recorded July 7th, 2021 as part of the KCNI Summer School

TA's:  Keon Arbabi, Sonny Chen, Micaela Consens, Amin Kharaghani

Simulating Brain Microcircuit Activity and Signals in Mental Health

Register for Virtual Q&A  - June 23, 2022 3:30pm EST

Presented by Etay Hay and Brain Circuit Modelling Group


Session
InstructorsVideoMaterials
Health 
Instructors: Etay Hay & Frank Mazza
9:00-10:30
Watch Party Time (EST)
Session
Lecture 1: Simulating brain microcircuit activity in mental health
Watch on Crowdcast
Etay Hay & Frank Mazza
YouTube (1:20:43)
slides10:45-12:15
Lecture 2: Simulating EEG from brain microcircuits in mental health
Watch on Crowdcast
Etay Hay & Frank Mazza
YouTube (1:11:04)
slides1:00-2:30pm
Workshop 1: Simulating and analyzing spiking from neurons and microcircuits
Watch on Crowdcast
Etay Hay & Frank Mazza
YouTube (1:39:51)

code (github)

BinderImage Added

2:45-4:15pm

Workshop 2: Simulating and analyzing EEG signals from brain microcircuits
Etay Hay & Frank Mazza
YouTube (1:30:41)

code (github)

BinderImage Added

Watch on Crowdcast

All videos previously recorded July 8th, 2021 as part of the KCNI Summer School

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


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Neuroimaging Connectomics

Presented by:

John Griffiths Ph.D - Lead - Whole Brain Modeling Group, Krembil Centre for Neuroinformatics - CAMH, Assistant Professor, University of Toronto Depts. Psychiatry & Medical Sciences, Twitter: @neurodidact, Github:  @JohnGriffiths, @GriffithsLab, Website: grifflab.com

Erin Dickie Ph.D - Education and Knowledge Lead - KCNI, Scientist - Kimel Family Translational Imaging-Genetics Lab, Twitter: @ErinWDickie ,Github: @edickie

Session
InstructorsVideoMaterials
Instructors: Erin Dickie & John Griffiths
TA's: Shreyas Harita, Jerrold Jeyachandra, Kevin Kadak
9:00-10:301:00-2:30pm
Time (EST)
Session
Lecture 1: Introduction to neuroimaging connectomics
Watch on Crowdcast
Erin Dickie & John Griffiths
YouTube (1:47:22)
slides10:45-12:15
Workshop 1: Calculating Neuroimaging Connectomes
Watch on Crowdcast
Erin Dickie & John Griffiths
YouTube (1:39:04)
All videos previously recorded July 9th, 2021 as part of the KCNI Summer School



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Whole-Brain Modelling

Presented by: 

John Griffiths Ph.D - Lead - Whole Brain Modeling Group, Krembil Centre for Neuroinformatics - CAMH, Assistant Professor, University of Toronto Depts. Psychiatry & Medical Sciences, Twitter: @neurodidact, Github:  @JohnGriffiths, @GriffithsLab, Website: grifflab.com

Session
InstructorsVideoMaterials
Lecture 2: Intro to whole-brain modelling (Lecture)
Watch on Crowdcast
John Griffiths
YouTube (1:24:44)
2:45-4:15pm

Workshop 2: simulating whole-brain activity, EEG, evoked responses, brain stimulation
Watch on Crowdcast
Day 6: Bayesian

All videos previously recorded July 9th, 2021 as part of the KCNI Summer School


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Bayesian Models of Learning and Integration of Neuroimaging Data

Presented by Andreea Diaconescu and the Cognitive Network Modelling (CogNeMo) Group

Coding Language: MATLAB more setup info


Session
InstructorVideoMaterials
Lecture 1: Modelling Cognition using Bayesian Inference
Andreea Diaconescu
YouTube (1:28:14)
slides
Workshop 1:  Modelling Abnormal Beliefs
Daniel Hauke
YouTube (1:15:04)
code (github)
Lecture 2: Integration of Neuroimaging: Dynamic Causal Modelling for fMRI and EEG Data
Andreea Diaconescu, Colleen Charlton
YouTube (1:32:42)
slides
Workshop 2: Dynamic Causal Modelling for fMRI: Extensions and Simulations
Peter Bedford, Povilas Karvelis
YouTube (1:22:21)
code (github)


All videos previously recorded July 12th, 2021 as part of the KCNI Summer School

TA's: Colleen Charlton, Daniel Hauke, Peter Bedford, Povilas Karvelis



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Population-Based Data Resources & Integrative Research Methods


Session
InstructorVideoMaterials

Lecture 1: Population
(July 12, 2021)
Instructors: Andreea Diaconescu
TA's: Colleen Charlton, Daniel Hauke, Peter Bedford, Povilas Karvelis
Time (EST)
Session
9:00-10:30
Lecture 1: Bayesian Models of Learning
Watch on Crowdcast
10:45-12:15
Turorial 1:  Hierarchical Gaussian Filter and Simulating Learners
Watch on Crowdcast
1:00-2:30pm
Lecture 2: Computational Modelling of EEG Data
Watch on Crowdcast
2:45-4:15pm
Tutorial 2: Single-trial EEG Modelling
Watch on Crowdcast
AnchorDigital HealthDigital HealthDigital Health and Population-Based Data Resources (July 13, 2021)
Instructors: Daniel Felsky, Abhi Pratap & Joanna Yu
TA's: Mohamed Abdelhack, Grace Jacobs, Amin Kharaghani, Marta Maslej, Milos Milic, Earvin Tio
Lecture 2: Population1:00-2:30pm accessing reproducible datasets from Synapse as part of integrated workflowWorkshop 2: Introduction
Time (EST)
Session
9:00-10:30
Lecture 1: Digital Health for Mental health
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titledetails

Presented by Abhi Pratap 

Watch on Crowdcast
10:45-12:15
-based resources and the BrainHealth Databank
Watch on Crowdcast
Joanna Yu
YouTubeslides

Workshop 1:
Watch on Crowdcast
2:45-4:15pm
Introduction to interactive methods
Watch on Crowdcast

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

Instructors: Daniel Felsky & Abhi Pratap + All Instructor Panel
TA's: Mohamed Abdelhack, Amin Kharaghani, Marta Maslej, Milos Milic, Earvin Tio
Daniel Felsky
YouTube (1:24:30)

Lecture 2: Types
Time (EST)
Session
Lecture 2: Population-based resources and the BrainHealth Databank
Workshop 2: Introduction to interactive methods
9:00-10:30
Lecture 1: Types
of integrative research and Whole Person Modelling
Watch on Crowdcast
10:45-12:15
Daniel Felsky
YouTube (1:28:14)

Workshop 2
Workshop
: SNF / Subtyping
Watch on Crowdcast
Daniel Felsky
YouTube (1:
00-2:30pm
Watch on Crowdcast
2:45-4:15pm

Additional Lecture Content (no zoom Q&A event)

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

Expand
titledetails..

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