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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

 Click Here to Browse and Register for our Question and Answer Sessions

Topics

Table of Contents
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KCNI Open House 2022_Poster.pngImage Removed

Join us for the Krembil Centre For Neuroinformatics Open House!

The Krembil Centre for Neuroinformatics is excited to host its Annual Open House on Friday, June 24 starting at 10am.

Come meet the KCNI team and learn about the latest developments virtually, or even better, in person!




Register for in-person or virtual here.

Introductory Concepts

A collection of lectures on overaching concepts in Neuroinformatics Research.


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

Watch on Crowdcast
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

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.

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 - Nov 2021 Series


 

Register for Virtual Q&A  - June 10, 2022 1:00pm EST

Reproducible Science (including Git, Docker and Binder) 

Register for Virtual Q&A  - June 10, 2022 1:00pm EST


2022 Watch Party Time
  (EST)
Session
VideoMaterials
9:30-11:00am
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 Youtube
slides11:00-12:30pm
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 YouTube

github code

rstudio example BinderImage Modified jupyter example BinderImage Modified


EST

Register for the Virtual Q&A

3:30pm EST

Applied Ethics in Machine Learning and Mental Health 

Register for Virtual Q&A  - June 14, 2022 3:30pm EST

2022 Watch Party Time

9:00-10:30amcode (github

BinderImage Removed

code (github)

BinderImage Removed
Topic
VideoMaterials
Lecture 1: Introduction to AI Ethics - 
Daniel Buchman
Watch on YouTube (1:22:07)
slides
10:30-12:00pm
Lecture 2:  Fairness and Health Equity - 
Marta Maslej &
Laura Sikstrom
Watch on 
Crowdcast
Youtube (1:06:36)
slides12:30-2:00pm
Workshop 1: Research Design, Data Collection, Model Construction and Validation - 
Part 2: Intersectional Bias Assessment 
Marta Maslej & Laura Sikstrom
Watch on 
Crowdcast
Youtube (52:27)
2:00-3:30pm
Workshop 2: Analysis, Interpretation and Knowledge Exchange and/or Translation - 
Marta Maslej & Laura Sikstrom
Watch on Crowdcast

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


Digital Health for Mental Health

Presented by Abhi Pratap

Register for Virtual Q&A  - June 20, 2022 1:00pm EST

Watch Party  

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

Time (EST

)

9:30-11:00am
Session
InstructorVideoMaterials
Lecture 1: Digital Health for Mental health
Abhi Pratap
Watch on Crowdcast
Youtube (1:20:28)
11:00-12:30pm

Workshop 1: accessing reproducible datasets from Synapse as part of integrated workflow
Abhi PratapWatch on Crowdcast
YouTube (1:15:12)
All videos previously recorded July 13th, 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.


Fundamental Methods for Genomic Analysis

Register for Virtual Q&A  - June 22, 2022 10:30am EST

New Live webinar on add mixture modeling  - June 22, 2022 11:30am EST - Register here!

Watch Party Time (EST)

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. 
June 21, 1pmWatch on Crowdcast
Session
InstructorVideoMaterials
Lecture 1: Basics of genotype, central dogma, GWAS, and polygenic risk scores
Dan Felsky
Watch on Crowdcast
YouTube (1:28:17)
own time

Dan FelskyWatch on Crowdcast
YouTube (1:27:18)
code (GitHub)
June 22, 9amWorkshop 2: Calculation of polygenic risk scores in PRSiceDan FelskyYouTube (1:53:34)code (GitHub)

June 22, 11:30am

(Live! - register here)

Genome-wide association analysis for admixed
populations
Dan Felsky
Considering population stratification and admixture in modern GWAS; concepts and toolsDan FelskyRegister for the live webinar

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


Fundamental Methods for Single-Cell Transcriptome Analysis

Register for Virtual Q&A  - June 22, 2022 3:30pm EST

Watch Party Time (EST)

Presented by 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.
June 21, 2:30pm
Session
InstructorVideoMaterials
Lecture 1:  Transcriptomics at the single-cell and bulk level level
Shreejoy Tripathy
Watch on Crowdcast
slides
YouTube (1:29:08)
slidesJune 22, 12:30pm
Workshop 1: Intro to transcriptomic data types, including single-cell and bulk RNAseq
Dan FelskySonny Chen
YouTube (1:19:17)
Watch on Crowdcast
June 22, 2:00-3:30pm

Workshop 2: Explore cellular changes in major depression using bulk and single-cell RNAseq data
Dan FelskyKeon 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


Watch Party Time (EST)

June 23, 2022

Session
InstructorsVideoMaterials
9:00-10:30am
Lecture 1: Simulating brain microcircuit activity in mental health
Etay Hay & Frank MazzaWatch on Crowdcast
YouTube (1:20:43)
slides10:30-12:00pm
Lecture 2: Simulating EEG from brain microcircuits in mental health
Etay Hay & Frank MazzaWatch on Crowdcast
YouTube (1:11:04)
slides
12:30-2:00pm
Workshop 1: Simulating and analyzing spiking from neurons and microcircuits
Etay Hay & Frank MazzaWatch on Crowdcast
YouTube (1:39:51)

code (github)

BinderImage Modified

2:00-3:30pm
Workshop 2: Simulating and analyzing EEG signals from brain microcircuits
Etay Hay & Frank MazzaWatch on Crowdcast
YouTube (1:30:41)

code (github)

BinderImage Modified

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


Neuroimaging Connectomics

Register for Virtual Q&A  - June 29, 2022 11:30am EST

Watch Party Time (EST)

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

June 29, 2022

8:30-10:00am
Session
InstructorsVideoMaterials
Lecture 1: Introduction to neuroimaging connectomics
Erin Dickie & John Griffiths
Watch on Crowdcast
YouTube (1:47:22)
slides
10:00-11:30am
Workshop 1: Calculating Neuroimaging Connectomes
Erin Dickie & John Griffiths
Watch on Crowdcast
YouTube (1:39:04)
All videos previously recorded July 9th, 2021 as part of the KCNI Summer School



Whole-Brain Modelling

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

Watch Party Time (EST)

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

June 30, 2022

Session
InstructorsVideoMaterials
12:30-2:00pm
Lecture 2: Intro to whole-brain modelling (Lecture)
John Griffiths
Watch on Crowdcast
2:00-3:30pm
YouTube (1:24:44)

Workshop 2: simulating whole-brain activity, EEG, evoked responses, brain stimulation
John Griffiths
Watch on Crowdcast
YouTube (1:16:10)

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


Bayesian Models of Learning and Integration of Neuroimaging Data

Register for Virtual Q&A  - June 28, 2022 3:30pm EST

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

Coding Language: MATLAB more setup info

Watch Party Time (EST)
June 28, 2022


Session
InstructorVideoMaterials
9:00-10:30am
Lecture 1:
 Bayesian Models of Learning
Modelling Cognition using Bayesian Inference
Andreea Diaconescu
Watch on Crowdcast
YouTube (1:28:14)
slides
10:30-12:00pm
Turorial 1:  Hierarchical Gaussian Filter and Simulating Learners
Andreea Diaconescu
Workshop 1:  Modelling Abnormal Beliefs
Daniel Hauke
YouTube (1:15:04)
Watch on Crowdcast
code (github)
12:30-
Lecture 2:
00pmLecture 2: Computational Modelling of
Integration of Neuroimaging: Dynamic Causal Modelling for fMRI and EEG Data
Andreea Diaconescu
, Colleen Charlton
YouTube (1:32:42)
Watch on Crowdcast
Tutorial 2: Single-trial EEG Modelling
Andreea Diaconescu
Watch on Crowdcast
slides
Workshop 2:
00-3:30pm
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



Population-Based Data Resources & Integrative Research Methods

Watch on Crowdcast

Session
InstructorVideoMaterials

Lecture 1: Population-based resources and the BrainHealth Databank
Joanna Yu
Watch on CrowdcastYouTubeslides

Workshop 1: Introduction to interactive methods
Daniel Felsky
Watch on Crowdcast
YouTube (1:24:30)

Lecture 2: Types of integrative research and Whole Person Modelling
Daniel Felsky
YouTube (1:28:14)

Workshop 2: SNF / Subtyping
Daniel Felsky
Watch on Crowdcast
YouTube (1:21:38)

2020 Summer School Overview