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Jérémie Lefebvre

Jeremie Lefebvre is an Associate Faculty of the Department of Biology of the University of Ottawa and an Affiliate Scientist at the Krembil Research Institute. He is also an Assistant Professor in Department of Mathematics and Institute for Biomaterials and Biomedical Engineering of the University of Toronto. During his doctoral and postdoctoral training, Prof Lefebvre worked in Ottawa, Nancy, Geneva and Lausanne, doing research on neuroscience, non-linear dynamics, bifurcation theory, probabilistic neural coding and cognitive neuroimaging. His team uses interdisciplinary methods to characterize fluctuations in brain activity to better understand their involvement in brain health and diseases, such as epilepsy, depression and multiple-sclerosis. He collaborates closely with international teams of experimentalists and clinicians in the fields of cognitive neuroscience, neuroimaging and brain stimulation. Prof. Lefebvre has supervised trainees from a wide spectrum of backgrounds (from mathematics to physiology) over the years, as well as across various levels (from undergrads to postdocs) and in diversified research environments (universities, hospitals, institutes).
  • Associate Professor | Department of Biology, University of Ottawa (primary)
  • Adjunct Scientist | Krembil Research Institute, University Health Network, Toronto
  • Assistant Professor | Department of Mathematics, University of Toronto
  • Assistant Professor (cross appointed) | Institute for Biomaterials and Biomedical Engineering (IBBME), University of Toronto
  • Jeremie Lefebvre’s scientific interests span non-linear dynamics, mathematical and computational biology as well as biomedical engineering. Specifically, he is interested in brain stimulation, neural coding, white matter, oscillatory neural activity, synchronization and self-organization in complex neural and biological systems.
  • Hutt A, Rich S, Valiante T, Lefebvre J (2023) Neural diversity quenches the dynamic volatility of balanced neural networks. Proceedings of the National Academy of Sciences (PNAS) 120:28, e2218841120
  • Pariz A, Trotter D*, Hutt A. Lefebvre J (2023) Selective control of synaptic plasticity in heterogeneous networks through transcranial alternating current stimulation (tACS) PLOS Computational Biology 19(4): e1010736
  • Talidou A, Frankland P, Mabbott D, Lefebvre J. (2022) Homeostatic coordination and up-regulation of neural activity by activity-dependent myelination. Nature Computational Science 2, 665–676
  • Rich S, Chameh H, Lefebvre J, Valiante TA (2022) Loss of neuronal heterogeneity in epileptogenic human tissue renders neural networks more susceptible to sudden changes in synchrony. Cell Reports 39 (8): 110863
  • Hutt A, Lefebvre J. (2022) Arousal fluctuations govern oscillatory transitions between dominant and occipital activity during eyes open/closed conditions. Brain Topography 35 (1), 108-120
  • Noori R, Park D, Griffiths JD, Bells S, Frankland PW, Mabbott D, Lefebvre J (2020) Activity-dependent myelination: A glial mechanism of oscillatory self-organization in large-scale brain networks. Proceedings of the National Academy of Sciences (PNAS) 117 (24), 13227-13237
  • Bells S, Lefebvre J, Yeh EA, Mabbott D (2019) White Matter Plasticity and Maturation in Human Cognition. Glia. doi: 10.1002/glia.23661
  • Hutt A, Wright D, Lefebvre J, Sleigh J. (2018) Suppression of underlying neuronal fluctuations mediates EEG slowing during general anaesthesia. NeuroImage 179:414-428
  • Lefebvre J, Hutt A, Frohlich F (2017) Stochastic Resonance Mediates the State-Dependent Effect of Periodic Stimulation on Cortical Alpha Oscillations. eLife e32054
  • Mierau A, Klimesch W, Lefebvre J. (2017) State-Dependent Alpha Peak Frequency Shifts: Experimental Evidence, Potential Mechanisms and Functional Implications. Neuroscience 360: 146-154
  • Herrmann C, Ionta S, Hutt A, Murray MM, Lefebvre J. (2016) Shaping Intrinsic Oscillatory Neural Activity with Periodic Stimulation. Journal of Neuroscience 36(19):5328-37
  • Alagapan S, Schmidt SL, Lefebvre J, Shin HW and Frohlich F. (2016) Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation Is State-Dependent. PLOS Biology 14(3): e1002424

Computational neuroscience, non-linear dynamics, brain rhythms, synchronization, neural control, white matter plasticity, neuroprosthetics

Jeremie Lefebvre

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