Localization of Epileptic Seizure Focus by Computerized Analysis of fMRI Recordings

2018/12/11 by Rasoul Hekmati, Robert Azencott, Hekmati, Rasoul +7
Computer Science · Neuroscience · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Biological sciences #Neural Networks and Applications #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)

paper · pdf · doi:10.48550/arxiv.1812.04533

openalex publication_date 2018/12/11 · openalex created_date 2022/08/01 · openalex updated_date 2026/07/28

Abstract

By computerized analysis of cortical activity recorded via fMRI for pediatric epilepsy patients, we implement algorithmic localization of epileptic seizure focus within one of eight cortical lobes. Our innovative machine learning techniques involve intensive analysis of large matrices of mutual information coefficients between pairs of anatomically identified cortical regions. Drastic selection of pairs of regions with significant inter-connectivity provide efficient inputs for our Multi-Layer Perceptron (MLP) classifier. By imposing rigorous parameter parsimony to avoid over fitting we construct a small size MLP with very good percentages of successful classification.

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