Optimizing the measurement of sample entropy in resting-state fMRI data

IntroductionThe complexity of brain signals may hold clues to understand brain-based disorders. Sample entropy, an index that captures the predictability of a signal, is a promising tool to measure signal complexity. However, measurement of sample entropy from fMRI signals has its challenges, and nu...

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Bibliographic Details
Main Authors: Donovan J. Roediger, Jessica Butts, Chloe Falke, Mark B. Fiecas, Bonnie Klimes-Dougan, Bryon A. Mueller, Kathryn R. Cullen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2024.1331365/full