
Research Assistant:
Dr. Goubran’s research program focuses on developing novel artificial intelligence (AI) and computational tools to probe, predict, and understand circuit alterations, and model brain pathology in neurological disorders. Dr. Goubran’s research interests combine translational and basic science research. He is particularly interested in studying the underlying mechanisms and pathways behind disease progression of neurological and cerebrovascular disorders that involve disruption of neural circuits, including Alzheimer’s disease, traumatic brain injury and stroke. This work can lead to the identification of novel translational biomarkers and therapeutic targets, advance our understanding of the pathophysiologic mechanisms of circuit disorders, and improve cognitive and functional outcomes through earlier and more personalized treatments and prevention strategies.
Education:
- B.MSc., 2010, medical biophysics, Western University, Canada
- PhD, 2014, biomedical engineering (imaging), Western University, Canada
- Research scholar, 2015, Montreal Neurological Institute, McGill University, Canada
- Postdoctoral fellowship, 2017, department of radiology/neuroscience program, Stanford University, U.S.
Appointments and Affiliations:
- Scientist, Physical Sciences, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute
- Assistant professor, department of medical biophysics, University of Toronto
Research Foci
- Alzheimer’s disease and related dementias
- Computational Neuroscience
- Histopathology & tissue clearing
- Machine learning/artificial intelligence
- Neuromodulation
- Stroke
- Traumatic brain injury
Publications
Affiliated Labs & Programs
Selected Publications
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Attarpour A … Goubran M. A deep learning pipeline for three-dimensional brain-wide mapping of local neuronal ensembles in teravoxel light-sheet microscopy. Nat Methods. 2025;22(3):600-611. doi:10.1038/s41592-024-02583-1
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Ottoy J … Goubran M. Tau follows principal axes of functional and structural brain organization in Alzheimer's disease. Nat Commun. 2024;15(1):5031. Published 2024 Jun 12. doi:10.1038/s41467-024-49300-2
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Hsueh B … Goubran M, Deisseroth K. Cardiogenic control of affective behavioral state. Nature. 2023;615(7951):292-299. doi:10.1038/s41586-023-05748-8
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Meng Y, Goubran M, et al. Blood-brain barrier opening of the default mode network in Alzheimer's disease with magnetic resonance-guided focused ultrasound. Brain. 2023;146(3):865-872. doi:10.1093/brain/awad082
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Goubran M et al. Multimodal image registration and connectivity analysis for integration of connectomic data from microscopy to MRI. Nat Commun. 2019;10(1):5504. Published 2019 Dec 3. doi:10.1038/s41467-019-13374-0
In the News
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AI in Action: Monitoring cellular brain networks
January 27, 2025
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New discovery in how Alzheimer's disease spreads through the brain
June 14, 2024
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Sunnybrook researchers awarded $6M in CIHR Spring 2023 Project Grants competition
July 25, 2023
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Two Sunnybrook scientists awarded Canada Research Chairs
November 17, 2022