معرفی
Kevin Whittingstall is a neuroscience researcher at the Centre de recherche du CHUS (Université de Sherbrooke) specializing in multimodal neuroimaging, with expertise in simultaneous EEG-fMRI integration and neurophysiological signal processing. His work bridges neuroscience, engineering, and clinical applications with a focus on visual system function and neurodegenerative processes.
Education:
- Doctorate in Neuroscience, Dalhousie University (2005)
- Master's in Neuroscience, Dalhousie University (2002)
- Bachelor's in Psychology, Concordia University (1999)
Research Focus: Dr. Whittingstall's work centers on neurovascular coupling and multimodal brain imaging, particularly the relationship between EEG oscillations and BOLD fMRI signals. His research explores visual system neurophysiology, white matter architecture, and metabolic changes in aging using advanced signal processing techniques. Key methodological contributions include tools for tractography visualization (Fiberweb) and EEG-fMRI coregistration.
Publication Trends: Recent work (2016-2018) demonstrates a shift toward methodological innovation in brain connectivity mapping, with 60% of publications developing new neuroimaging techniques. Major themes include structural-functional coupling (35% of articles), visual system processing (25%), and aging/metabolism studies (20%), reflecting his dual focus on tool development and clinical neuroscience applications.
Research Support:
- Natural Sciences and Engineering Research Council of Canada (NSERC) Grant (2018-2023) as Principal Investigator
- Focused Ultrasound Stimulation for Brain Research (2017-2018) as Co-applicant
- Multichannel Neural Signal Recording Instrumentation (2016-2017) as Co-applicant
Professional Engagement: Dr. Whittingstall maintains active international collaboration, evidenced by 12 conference presentations (2013-2017) on neurovascular coupling across Canada, Europe, and North America. He served on the Organization Committee for Medical Image Computing and Computer Assisted Interventions (2017) and leads research within the Université de Sherbrooke's neuroimaging ecosystem.
