Feindel Virtual Brain and Mind Seminar at The Neuro: Forecasting spreading brain atrophy in frontotemporal dementia: Connectomic and latent space approaches

Event

The Feindel Virtual Brain and Mind (VBM) Seminar Series

"Advancing the vision of Dr. William Feindel (1918–2014), former Director of the Neuro (1972–1984) and Founding Director of the McConnell Brain Imaging Centre (1984), to constantly bridge the clinical and research realms. The talks will highlight the latest advances and discoveries in neuropsychology, cognitive neuroscience, and neuroimaging."

Speakers will include scientists from across The Neuro, as well as colleagues and collaborators locally and from around the world. The series is intended to provide a virtual forum for scientists and trainees to continue to foster interdisciplinary exchanges on the mechanisms, diagnosis and treatment of brain and cognitive disorders.

Registration is available now on Eventbrite.


Speaker: Jesse Brown

Bio: Jesse is a systems neuroscientist whose research applies neuroimaging, machine learning, and mathematics to understand how brain structure and function change during typical aging and dementia. His two primary scientific goals are to contribute to the understanding of functional and anatomical brain connectivity, and to build translational tools that will improve the diagnostic and prognostic accuracy of typical and atypical aging trajectories.

 

Talk Abstract: Neurodegenerative diseases appear to progress by spreading through brain networks. Here I will discuss two complementary approaches for predicting future atrophy in individual patients with frontotemporal dementia. In the first approach, we determine patient-specific “epicenters” and use a connectome-based spreading model to predict future atrophy. We show that we can accurately predict longitudinal atrophy in most patients and find evidence that degeneration spreads from the epicenter in a nonlinear fashion. In the second approach, we use unsupervised deep learning on ~6000 structural MRI scans from individuals across the neurodegenerative spectrum to build a latent space of brain structure. We use this space to predict individual trajectories of brain structure change with high precision for most dementia syndromes. Together, these approaches could lead to new clinical tools for prognostication and disease monitoring.


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