[BIC-announce] Special MEG seminar: Age-Related Changes in Sensorimotor Activity Revealed in Big MEG Data.

[Sylvain Baillet]

Please join us for a special seminar concerning significant developments in big-data (CAM-CAN) aging research ongoing at Dalhousie with MEG. The talk will also present new technology based on cryo-free sensors.

Thursday July 08 @ 2PM
https://mcgill.zoom.us/j/87192510512?pwd=QUc0eG9rbkQzWWlGaEFLL1dRK2ptQT09

Title: Age-Related Changes in Sensorimotor Activity Revealed in Big MEG Data

Abstract:
The increase in access to big data has spread to neuroimaging, providing new opportunities for improved statistical analysis and population-level studies, and enabling researchers to ask big questions. Here, I present some of the efforts in my lab to use big MEG data to answer questions about how human brain electrophysiology changes with age. We used the MEG and structural MRI components of the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) dataset, which contains data from ~600 participants with a flat age distribution from 18 to 88 years. Within this dataset, we investigated how electrophysiological transients in the sensorimotor system change with age, in raw MEG data during task and rest. We discovered a complicated pattern of age-related changes in rhythmic activity amplitude, temporal dynamics and spatial representation. The focus on transient bursts provided a more mechanistic window into how neural networks are changing with age. We are now combining these experimental findings with computational modelling to understand how neural network mechanics may be changing with age. We are also applying this transient burst framework to pathological brain signals, in the context of ageing and cognitive decline. Finally, we are investigating what new insight may come from increasing the MEG signal-to-noise ratio with optically pumped magnetometry.

Position: Dr. Tim Bardouille is an Assistant Professor in the Department of Physics and Atmospheric Science at Dalhousie University. He has over 20 years of experience working with MEG, from system integration to lab tech to principal investigator and clinical program lead.
Website: https://www.dal.ca/sites/biosignal-lab.html
Podcast: https://soundcloud.com/sciographies/tim-bardouille

Best wishes,

Sylvain.
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Sylvain Baillet, PhD
Professor, Montreal Neurological Institute
McGill University
@sylvain_baillet<https://twitter.com/sylvain_baillet> | visit out lab<https://www.neurospeed-bailletlab.org>




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