Localization of epileptic seizure focus by computerized analysis of fMRI recordings.

Autor: Hekmati R; Department of Mathematics, University of Houston, Houston, TX, USA. rhekmati@uh.edu., Azencott R; Department of Mathematics, University of Houston, Houston, TX, USA. razencott@uh.edu., Zhang W; Department of Radiology, Texas Children's Hospital, Houston, TX, USA.; Outcomes & Impact Service, Texas Children's Hospital, Houston, TX, USA., Chu ZD; Department of Radiology, Texas Children's Hospital, Houston, TX, USA.; Department of Radiology, Baylor College of Medicine, Houston, TX, USA., Paldino MJ; Department of Radiology, Texas Children's Hospital, Houston, TX, USA.
Jazyk: angličtina
Zdroj: Brain informatics [Brain Inform] 2020 Oct 31; Vol. 7 (1), pp. 13. Date of Electronic Publication: 2020 Oct 31.
DOI: 10.1186/s40708-020-00114-0
Abstrakt: 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.
Databáze: MEDLINE
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