Interpreting temporal fluctuations in resting-state functional connectivity MRI

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Raphaël Liégeois, Timothy O. Laumann, Abraham Z. Snyder, Juan Helen Zhou, B. T. Thomas Yeo

Published: 01 Jan 2017, Last Modified: 15 May 2025NeuroImage 2017EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Space of stationary models bigger than expected; includes hidden Markov model (HMM).•Phase & autoregressive randomizations test for stationarity, linearity, Gaussianity.•Resting-state fMRI is mostly stationary, linear, and Gaussian.•1st order autoregressive (AR) model encodes static & one-lag FC.•1st order AR model explains sliding window correlations very well, better than HMM.