Special Neuro Epilepsy Lecture: Predictive Brain Image Computation for Epilepsy Research
The 2024-2025 Neuro Epilepsy Lecture Series will include eight lectures covering hot topics in basic and clinical epilepsy research. Speakers will include distinguished leaders and rising stars, with the goal of bridging basic research and clinical perspectives.
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Predictive Brain Image Computation for Epilepsy Research
Abstract: This presentation focuses on advances in brain image computation and machine learning applied to epilepsy research. Our work encompasses three key areas relevant for epilepsy research: pre-clinical studies on post-traumatic epilepsy, analysis of tissue samples from epilepsy surgery resections, and prediction of drug-resistant epilepsies in newly diagnosed patients. In pre-clinical studies, we utilize advanced image computation techniques coupled with modern machine learning methods to understand the progression of post-traumatic epilepsy. For surgical resections, we apply computational methods to analyze tissue samples, aiming to identify potential biomarkers and unravel the pathophysiology of difficult-to-treat epilepsies. Additionally, we are starting to develop machine learning models to predict drug resistance in epilepsy, which could significantly enhance treatment paths for newly diagnosed patients. Our research aims to bridge the gap between computational neuroscience and clinical applications, offering new insights in epilepsy management.
Jussi Tohka
Professor, Biomedical Image Analysis and head of Biomedical Image Analysis Group, A.I. Virtanen Institute for Molecular Sciences of University of Eastern Finland (UEF), Kuopio, Finland
Jussi Tohka, PhD, is a Full Professor of Biomedical Image Analysis and head of Biomedical Image Analysis Group at A.I. Virtanen Institute for Molecular Sciences of University of Eastern Finland (UEF), Kuopio, Finland https://www.jussitohka.net/. His research focuses on developing new methods to analyze brain imaging data and developing machine learning approaches for predicting the course of brain diseases at individual level, with applications to dementia and epilepsy research. He leads the data science aspects of Neuroscience Research Community of UEF consisting of ~200 researchers https://www.uef.fi/en/research-community/neuroscience-neuro and is a PI in a flagship project of the Research Council of Finland on advanced mathematics for sensing, imaging and modelling https://fameflagship.fi/.
These seminar series are made possible through the sponsorship of:
