Greydon Gilmore

Greydon Gilmore

Electrophysiologist

London Health Sciences Centre

About

Greydon Gilmore obtained a Ph.D. in Biomedical Engineering at Western University (Western thesis repository). His thesis work involved the development of an open-source stereotactic planning software for functional neurosurgery. His primary research interests include cranial electrodes inserted for movement disorders and epilepsy. The goal is to improve surgical targeting accuracy and post-operative localization of electrodes.

Interests
  • deep brain stimulation
  • stereoelectroencephalography
  • medical image processing
  • clinical software development
Education
  • Postdoc in Department of Mathematics, 2022-current

    Western University

  • Ph.D. Biomedical Engineering, 2017-2022

    Western University

  • M.Sc. Neuroscience, 2013-2015

    Western University

  • B.Sc. Neuroscience, 2010-2013

    Carleton University

Skills

Programming

Python, Bash, R, Matlab, git

Neuroimaging

FSL, ANTS, NiftyReg, 3D Slicer

spike
Electrophysiology

Extracellular, LFP

Recent Publications

(2023). Lack of spontaneous typical seizures during intracranial monitoring with stereo-electroencephalography. In Epileptic Disorders.

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(2023). A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects. In Data in Brief.

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(2023). Magnetic resonance imaging datasets with anatomical fiducials for quality control and registration. In Scientific Data.

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(2022). An Indirect Deep Brain Stimulation Targeting Tool Using Salient Anatomical Fiducials. In Neuromodulation.

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(2022). Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load. In Elife.

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(2022). Optimizing the selection of Parkinson’s disease patients for neuromodulation using the levodopa challenge test. In Journal of Neurology.

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(2022). Application of the anatomical fiducials framework to a clinical dataset of patients with Parkinson’s disease. In Brain Structure and Function.

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(2021). Adapting the listening time for micro-electrode recordings in deep brain stimulation interventions. In International Journal of Computer Assisted Radiology and Surgery.

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(2021). Extending convolutional neural networks for localizing the subthalamic nucleus from microelectrode recordings in Parkinson’s disease. In Biomedical Signal Processing and Control.

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Grants

Graduate Student Award

  • Year: 2020-2022
  • Granting Agency: Parkinson’s Society of Canada
  • Amount: $20,000 CAD

Intern Talentedge Program

  • Year: 2017-2019
  • Granting Agency: OCE Talent Edge Internship Program
  • Amount: $60,000 CAD

Graduate Student Award

  • Year: 2017-2019
  • Granting Agency: Parkinson’s Society of Canada
  • Amount: $40,000 CAD

Graduate Student Innovation Scholars

  • Year: 2017
  • Granting Agency: WORLDDiscoveries – Western University
  • Amount: $1,500 CAD

Canadian Graduate Scholarship

  • Year: 2014-2016
  • Granting Agency: Canadian Institute of Health Research
  • Amount: $37,000 CAD

Training

Neurohackademy

  • Year: 2019
  • Institute: University of Washington
  • Website

Deep Learning Reinforcement Learning Summer School

  • Year: 2018
  • Institute: Vector Institute and CIFAR
  • Website

Intraoperative Neurophysiological Monitoring Course

  • Year: 2017
  • Institute: Greenville Neuromodulation Centre
  • Website

Recent Posts

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