Journal article

Temporal complexity of fMRI is reproducible and correlates with higher order cognition

Amir Omidvarnia, Andrew Zalesky, Sina Mansour, Dimitri Van De Ville, Graeme Jackson, Mangor Pedersen

Published : 2019

Abstract

It has been hypothesized that resting state networks (RSNs) likely display unique temporal complexity fingerprints, quantified by their multi-scale entropy patterns [1]. This is a hypothesis with a potential capacity for developing digital biomarkers of normal brain function, as well as pathological brain dysfunction. Nevertheless, a limitation of [1] was that resting state functional magnetic resonance imaging (rsfMRI) data from only 20 healthy individuals was used for the analysis. To validate this hypothesis in a larger cohort, we used rsfMRI datasets of 1000 healthy young adults from the Human Connectome Project (HCP), aged 22-35, each with four 14.4-minute rsfMRI recordings and parcella..

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