The effects of protocol factors and participant characteristics on functional near-infrared spectroscopy data quality after stroke.

ABSTRACT: Functional Near-Infrared Spectroscopy (fNIRS) is an emerging neurotechnology that has several advantages over fMRI, but questions remain about factors that affect data quality and activity in stroke survivors. We examined the effect of protocol factors (Aim 1) and participant characteristics (Aim 2) on raw fNIRS signal quality and tested associations between quality control metrics and brain activity and connectivity (Aim 3) in a sample of 107 individuals with a history of left or right hemisphere stroke. Participants completed tasks that varied by cognitive and motor speech demands (from low to high): Resting State, Discourse Comprehension, and Picture Naming. Scalp-coupling indices, peak spectral power values, and number of bad channels from each task were extracted from the Quality Test

SUBMITTER: Meier EL 

PROVIDER: S-EPMC12489784 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature