Modular and state-relevant functional network connectivity in high-frequency eyes open vs eyes closed resting fMRI data.

ABSTRACT:

Background

Resting-state fMRI (rs-fMRI) is employed to assess "functional connections" of signal between brain regions. However, multiple rs-fMRI paradigms and data-filtering strategies have been used, highlighting the need to explore BOLD signal across the spectrum. Rs-fMRI data is typically filtered at frequencies ranging between 0.008∼0.2 Hz to mitigate nuisance signal (e.g. cardiac, respiratory) and maximize neuronal BOLD signal. However, some argue neuronal BOLD signal may be parsed at higher frequencies.

New method

To assess the contributions of rs-fMRI along the BOLD spectra on functional network connectivity (FNC) matrices, a spatially constrained independent component analysis (ICA) was performed at seven different frequency "bins", after which FNC values and FNC me

SUBMITTER: DeRamus T 

PROVIDER: S-EPMC10187826 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature