Localization of epileptic seizure focus by computerized analysis of fMRI recordings

Brain Informatics

Rasoul Hekmati¹  Robert Azencott¹  Michael J. Paldino²  Zili D. Chu³  Wei Zhang⁴ 

[1] Department of Mathematics, University of Houston, Houston, TX, USA;Department of Radiology, Texas Children’s Hospital, Houston, TX, USA;Department of Radiology, Texas Children’s Hospital, Houston, TX, USA;Department of Radiology, Baylor College of Medicine, Houston, TX, USA;Department of Radiology, Texas Children’s Hospital, Houston, TX, USA;Outcomes & Impact Service, Texas Children’s Hospital, Houston, TX, USA;

关键词: Time series;    Deep learning;    Mutual information;    fMRI;    Epilepsy;    Seizure focus;   

DOI  :  10.1186/s40708-020-00114-0

来源: Springer

【 摘 要 】

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 biologically significant inter-connectivity provides efficient inputs for our multi-layer perceptron (MLP) classifier. By imposing rigorous parameter parsimony to avoid overfitting, we construct a small-size MLP with very good percentages of successful classification.

【 授权许可】

CC BY