
Machine Learning for Brain Health Symposium
- Date & Time:
- Add All to Calendar
- 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 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 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 |
![]() |
James (Jim) Reilly |
Speakers
Keynote Speakers
![]() |
Sylvain Baillet Professor Neurology and Neurosurgery Biomedical Engineering and Computer Science School of Computer Science, McGill University Montreal, Canada |
![]() |
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 |
![]() |
Stephen Strother |
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
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
