In Past Events, Research, Training

Navigating & Interacting with EEG Data

October 27th, 2020

This workshop will guide trainees through the fundamentals of working with EEG data. This workshop is not meant to be exhaustive, but may serve as a building block for attendees to move forward with their more specific projects. This workshop will cover a basic introduction to EEG signals, fundamentals in collecting and working with EEG data, and an brief overview of some of the tools available for EEG analysis.

Participants are expected to gain a basic understanding of EEG data, important considerations relevant to it and clinical implications.

Learning Objectives:

  • Understand principles of EEG signals as they relate to cortical activity in the brain
  • Be aware of the fundamentals of collecting and analyzing EEG data, with an eye on different research approaches (e.g., experimental, task-related studies, clinical applications)
  • Engage in critical thinking about the clinical implications of EEG data
  • Learn about some of the tools available for EEG signal processing and analysis.

Speaker’s Bio:

Dr. Stefon van Noordt is a Research Associate at the Azrieli Centre for Autism Research at the Montreal Neurological Institute, McGill University. He received his graduate training at Brock University and completed postdoctoral fellowships at the Yale University Child Study Centre and Montreal Neurological Institute. His research primarily uses EEG and eye-tracking technologies to examine the developmental neural underpinnings of sensory and cognitive processing, in particular how they relate to risk and outcome in autism and similar neurodevelopmental disorders. In addition, his work focuses on ‘big data’ – large data sets that can be analyzed to reveal complex multivariate patterns – to identify reliable EEG biomarkers that relate to risk factors, early diagnosis, and treatment outcomes. He has contributed to the development of novel experimental paradigms, standardized methods for batch pre-processing of EEG data, integrated platforms for harmonizing multi-site EEG data, and robust statistics software for single trial and single subject analyses. His work has been funded by CIHR, NSERC, TACC/FRQS, and most recently through a NARSAD Young Investigator Grant from the Brain and Behaviour Research Foundation.

October 27, 2020


Online Event–this link will be made available to those who register

Click here