Mutual information better quantifies brain network architecture in children with epilepsy

DOI10.1155/2018/6142898zbMath1431.92076OpenAlexW2897952671WikidataQ58698184 ScholiaQ58698184MaRDI QIDQ1634234

Michael J. Paldino, Wei Zhang, Zili D. Chu, Robert Azencott, Viktoria Muravina

Publication date: 18 December 2018

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/6142898

zbMATH Keywords

epilepsychildrenbrain network architectureresting-state fMRI

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50) Pathology, pathophysiology (92C32)

Uses Software

• Brain Connectivity Toolbox

Cites Work

• Detecting Novel Associations in Large Data Sets
• Random forests

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