Nuisance effects and the limitations of nuisance regression in dynamic functional connectivity fMRI.

ABSTRACT: In resting-state fMRI, dynamic functional connectivity (DFC) measures are used to characterize temporal changes in the brain's intrinsic functional connectivity. A widely used approach for DFC estimation is the computation of the sliding window correlation between blood oxygenation level dependent (BOLD) signals from different brain regions. Although the source of temporal fluctuations in DFC estimates remains largely unknown, there is growing evidence that they may reflect dynamic shifts between functional brain networks. At the same time, recent findings suggest that DFC estimates might be prone to the influence of nuisance factors such as the physiological modulation of the BOLD signal. Therefore, nuisance regression is used in many DFC studies to regress out the effects of nuisance ter

SUBMITTER: Nalci A 

PROVIDER: S-EPMC6309733 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature