Structural white matter correlations in the human brain: Towards classification, prediction, and mechanistic understanding

by Tom Owen

16:00 (40 min) in STREAM

Epilepsy is a neurological disorder affecting over 50 million people worldwide. It is characterised by unprovoked and recurrent seizures. A better understanding of the progressive nature of epilepsy is needed, to help design personalised treatment plans, and to identify early signs of epilepsy risk. Although several studies have investigated the relationship between neuroimaging properties and epilepsy duration, they used simple univariate frameworks. This lead to inconsistent claims, and a lack of reproducibility across datasets.

In this talk, I will describe a multivariate framework that leverages the natural structural correlations within the human brain. I will discuss the merits of my approach, and demonstrate how it could provide a more complete understanding of the epilepsy progression.