Together with Dr. Birgit Frauscher, Bernhardt co-directs The Neuro’s new Centre of Excellence in Epilepsy
Since joining The Neuro in 2016, Boris Bernhardt, PhD, Assistant Professor of Neurology and Neurosurgery, has published pioneering research on the organization and development of the healthy brain. His achievements have been recognized this week by the Canadian Association for Neuroscience, who have awarded him the 2022 New Investigator Award.
Prof. Bernhardt is recognized internationally for his research that seeks to better understand human brain organization, brain development, and neural mechanisms of human cognition across different spatial and temporal scales. His research integrates cutting edge in vivo neuroimaging, network science, histology, and transcriptomics approaches. He is one of the pioneers of an emerging system neuroscience field to study large-scale gradients – spatially organized patterns of brain microarchitecture, connectivity, and function– and to examine their role in human cognition. His research has contributed to the growing understanding of how multiscale network anomalies contribute to atypical brain function and cognitive difficulties in common conditions, notably in epilepsy and autism.
Prof. Bernhardt has published over 150 peer-reviewed papers, including multiple papers that his trainees published as first authors papers in top journals such as Nature Methods, Nature Communications, Science Advances, PNAS, eLife, PLoS Biology, and Neurology, together with multiple book chapters and more than 160 conference proceedings. He co-authored influential reviews on brain architectures relating to human cognition and affect in Nature Reviews Neuroscience and Annual Reviews of Neuroscience.
Together with Birgit Frauscher, MD, PhD, Associate Professor of Neurology, Prof. Bernhardt co-directs The Neuro’s new Centre of Excellence in Epilepsy, to advance care, research, and open science in epilepsy. His team is also an international leader in open neuroscience, and they have developed multiple widely used tools and datasets to enhance accessibility, reproducibility, and transparency of multiscale neuroinformatics.