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Machine Learning for Brain Health Symposium

Machine Learning for Brain Health Symposium

Date & Time:
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Location:

St. Joseph’s Healthcare
100 West 5th St. 
Hamilton, Ontario

Event Contact:

Janet Delsey
delsey@mcmaster.ca
905-525-9140, ext. 24910

Friday, September 7, 2018 | Hamilton, Ontario

Overview

The machine learning paradigm is a major new frontier in brain research.  It has been used for multiple purposes relating to disorders of consciousness, and for diagnosing and treating psychiatric illness.  It is also the driving engine behind brain-computer interfaces. This symposium is a venue for expanding on the current understanding of the interactions between machine learning and brain health.  

A group of renowned local, national and international speakers will be discussing diverse topics such as archiving brain data in various forms, the role of machine learning as it relates to mental health and disorders of consciousness, and neuro-engineering applications of machine learning.

Participants at the event will gain an opportunity to interact with prominent researchers in the field, and will also be exposed to the latest ideas in this emerging and exciting area of research.

Researchers are invited to submit a poster on their recent work relating to machine learning and brain health. 

This symposium is a joint venture by McMaster's Faculties of Health Sciences, Science, Engineering and the Humanities Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL).

McMaster University Organizers:

Sue Becker Sue Becker 
Professor, Department of Psychology, Neuroscience & Behaviour
Associate Member, Department of Linguistics & Languages
Member, School of Computational Science and Engineering
Member, McMaster Integrative Neuroscience & Discovery Program
Faculty Affiliate, Vector AI Institute
Adjunct Member, Centre for Vision Research, York University
Member, Spatial Learning Network, Spatial Intelligence and Learning Centre
John Connolly John Connolly
Director of ARiEAL
Professor, Department of Linguistics and Languages
Co-Director, Language, Memory and Brain Lab
Supervisory Member, McMaster Integrative Neuroscience Discovery & Study (MiNDS)
Associate Member, Department of Psychology, Neuroscience & Behaviour
Faculty, School of Biomedical Engineering
Flávio Kapczinski

Flávio Kapczinski
Professor, Department of Psychiatry & Behavioural Neuroscience
Director, Graduate Program in Neurosciences

Jim Reilly

James (Jim) Reilly
Professor, Department of Electrical & Computer Engineering
Professor, McMaster School of Biomedical Engineering
Full Member, ARiEAL
Member, McMaster Integrative Neuroscience & Discovery Program
Faculty Affiliate, Vector AI Institute

Speakers

Keynote Speakers

Sylvain Baillet Sylvain Baillet
Professor
Neurology and Neurosurgery
Biomedical Engineering and Computer Science
School of Computer Science, McGill University
Montreal, Canada
Martin M. Monti Martin M. Monti
Associate Professor
Psychology
UCLA
Los Angeles, California
Klaus-Robert Müller
Professor and Chair
Machine Learning Department
Institute of Software Engineering and Theoretical Computer Science
Berlin, Germany
Jose C. Principe

Jose C. Principe
Distinguished Professor, NeuroEngineering Lab
Professor, ECE Director Computational NeuroEngineering Lab
University of Florida
Gainesville, Florida

 Stephen Strother

Stephen Strother 
Professor
Medical Biophysics
University of Toronto 

 

Invited Speakers

Stephen Arnott - Scientific Associate, Rotman Research Institute, Baycrest

Brendan Behan -  Program Lead, Informatics & Analytics, Ontario Brain Institute

Bo Cao - Assistant Professor, Psychiatry, The University of Alberta

Andrew R. Dykstra - The Brain and Mind Institute, University of Western Ontario

Faranak Farzan - Assistant Professor, School of Mechatronic Systems Engineering; Chair in Technology Innovations for Youth Addiction Recovery and Mental Health, Simon Fraser University

Tomas Hajek - Professor, Psychiatry, Dalhousie University

Mojib Javadi - Scientific Program Development Manager, Indoc Research

Ives Passos - Professor, Psychiatry, Federal University, Brazil

Agenda

View the abstracts here

7:45 am Registration and coffee
8:20 am - 8:30 am Welcome and Introduction - Nick Kates, Professor and Chair, Department of Psychiatry, McMaster University
THEME 1: BRAIN CODE
8:30 - 10:10 am Brendan Behan, Ontario Brain Institute
Mojib Javadi, Indoc Research
Stephen Arnott, Rotman Research Institute, Baycrest
Brain-CODE – A comprehensive informatics platform for research data federation, query and analysis
10:10 - 10:40 am Keynote: Stephen Strother, University of Toronto 
Big Data Variety and Veracity in Brain-Code: 80% Quality Curation and 20% Analysis
10:40 - 11:00 am Refreshment break
THEME 2: COMA,  DISORDERS OF CONSCIOUSNESS
11:00 - 11:10 am John Connolly, McMaster University
ERP Components, the Mismatch Negativity and the Assessment of Consciousness and its Disorders
11:10 - 11:35 am Andrew Dykstra, University of Western Ontario
Does the mismatch negativity operate on conscious stimulus representations? Evidence from MEG and informational masking.
11:35 - 12:00 pm Narges Armanfard, McGill University (presented by Jim Reilly, McMaster University)
Dimensionality Reduction, Classification and its Application for Coma Prognosis
12:00 - 12:30 pm Keynote: Martin M. Monti, UCLA
Disappearing Into Nothingness: Graphs, Shapes, and Advanced Analysis Techniques Applied to Understanding Disorders of Consciousness
12:30 - 1:45 pm Lunch and Poster Session
THEME 3: MENTAL HEALTH
1:45 - 2:05 pm Bo Cloud Cao, The University of Alberta
Predicting Treatment Outcomes in Psychiatry with Machine Learning
2:05 - 2:25 pm Ives Passos, Federal University
Predicting Mood Disorders in a Cohort of Bipolar Offspring
2:25 - 2:45 pm Tomas Hajek, Psychiatry, Dalhousie University
Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group
2:45 - 3:15 pm Panel Discussion
3:15 - 3:30 pm Refreshment break
THEME 4: NEUROENGINEERING APPLICATIONS FOR BRAIN HEALTH
3:30 - 4:00 pm Keynote: Jose Principe, University of Florida
The Importance of Point Process Models to Quantify the Electroencephalogram
4:00 - 3:30 pm Keynote: Sylvain Baillet, McGill University
Perception as Prediction: Using Neural Network Architectures to Study Brain Perceptual Inference
4:30 - 5:00 pm Faranak Farzan, Mechatronics Engineering, SFU
Neurotechnology and Data Mining in Advancing Treatment Options and Prescription for Depression
5:00 - 5:30 pm Keynote: Klaus-Robert Mueller, ML Group, TU Berlin, and MPII, Saarbrücken and Dept of Brain and Cognitive Engineering, Korea University
Toward Brain Computer Interfacing: Algorithms for on-line Differentiation of Neuroelectric Activities

Registration/Poster Submission

Registration is now closed.

If you are interested in attending, please contact Janet Delsey, delsey@mcmaster.ca

 

Location

St. Joseph's Healthcare
West 5th Campus
100 West 5th Street
Hamilton, ON L9C 0E3

Sessions take place in the Auditorium on Level 1 

 
Parking
 
Parking is available in the special event lot (5 minute walk to building) for $10 per day. This must be purchased in advance with your registration and a parking pass will be sent to you. There is a limited amount of parking closer to the building ($20 per day payable at machine on-site), but these lots are best left for patients and short-term visitors.
 
St. Joe's West 5th Campus Map
 

Sponsors

 Platinum

 

 Gold

Ontario Brain Institute logo

 Silver

   


 MacData Institute logo


Department of Psychology, Neuroscience & Behaviour



McMaster University Health Sciences 



St. Joseph's Healthcare Hamilton