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Identifying novel MRI biomarkers of post-stroke epileptogenesis using artificial intelligence.

Grant number: 22/03894-1
Support Opportunities:Regular Research Grants
Duration: August 01, 2022 - July 31, 2024
Field of knowledge:Health Sciences - Medicine - Medical Clinics
Convênio/Acordo: Monash University
Principal Investigator:Fernando Cendes
Grantee:Fernando Cendes
Principal researcher abroad: Patrick Kwan
Institution abroad: Monash University, Australia
Host Institution: Faculdade de Ciências Médicas (FCM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated researchers: Benjamin Sinclair ; Brunno Machado de Campos ; Clarissa Lin Yasuda ; John-Paul Nicolo ; Meng Law ; Zhibin Chen
Associated research grant:13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology, AP.CEPID

Abstract

Stroke is one of the most important causes of new-onset seizures in adults, accounting for up to 11% of all epilepsy etiologies in adults in high-income countries. Identifying patients at high risk of seizures after stroke is of great clinical importance, as these patients have higher mortality and disability than those without seizures. This multidisciplinary project will bring expertise in clinical neurology, neuroradiology, imaging science and artificial intelligence from UNICAMP and Monash University to develop a novel predictive model of post-stroke epilepsy using quantitative MRI biomarkers in patients seen in Brazil, focusing on voxel-based morphometry and perivascular space quantification. The model will be validated in an independent cohort of patients seen in Melbourne. The discovered biomarkers will permit identification of high-risk patients for closer monitoring and inclusion in clinical trials of anti-epileptogenic therapies. (AU)

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