Jason Lerch
Professor of Neuroscience
Jason Lerch is the director of Preclinical Imaging at the Wellcome Centre for Integrative Neuroimaging (WIN) at the University of Oxford, an adjunct scientist at the Mouse Imaging Centre (MICe) of the Hospital for Sick Children and an associate professor in medical biophysics at the University of Toronto.
Lerch joined WIN in March of 2019; prior to that, he completed his PhD in 2005 in the Department of Neurology and Neurosurgery at McGill University and a postdoctoral fellowship at MICe from 2005 to 2008 with Mark Henkelman and John Sled. He received his BA in 1999 in anthropology and social studies of medicine from McGill University. His PhD research, under the supervision of Alan Evans, was on in vivo measurements of cortical thickness from magnetic resonance imaging scans.
Key publications
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Clustering autism: using neuroanatomical differences in 26 mouse models to gain insight into the heterogeneity.
Journal article
Ellegood J. et al, (2015), Mol Psychiatry, 20, 118 - 125
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Mouse MRI shows brain areas relatively larger in males emerge before those larger in females.
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Qiu LR. et al, (2018), Nat Commun, 9
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Studying neuroanatomy using MRI
Other
Lerch JP. et al, (2017), Nature Neuroscience, 20, 314 - 326
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Structural covariance of brain region volumes is associated with both structural connectivity and transcriptomic similarity.
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Yee Y. et al, (2018), Neuroimage, 179, 357 - 372
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Maze training in mice induces MRI-detectable brain shape changes specific to the type of learning.
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Lerch JP. et al, (2011), Neuroimage, 54, 2086 - 2095
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Examining overlap and homogeneity in ASD, ADHD, and OCD: a data-driven, diagnosis-agnostic approach.
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Kushki A. et al, (2019), Transl Psychiatry, 9
Recent publications
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Exercise promotes growth and rescues volume deficits in the hippocampus after cranial radiation in young mice.
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Szulc-Lerch K. et al, (2023), NMR Biomed
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Sex bias in social deficits, neural circuits and nutrient demand in Cttnbp2 autism models.
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Yen T-L. et al, (2023), Brain, 146, 2612 - 2626
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Richer than we thought: neurophysiological methods reveal rich-club network development is frequency- and sex-dependent.
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Vandewouw MM. et al, (2023), iScience, 26
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Systematic comparisons of different quality control approaches applied to three large pediatric neuroimaging datasets.
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Nakua H. et al, (2023), Neuroimage, 274
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Pervasive cortical and white matter anomalies in a mouse model for CHARGE syndrome.
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Donovan APA. et al, (2023), J Anat
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