Quantitative comparison of correction techniques for removing systemic physiological signal in functional near-infrared spectroscopy studies.

ABSTRACT: Significance: Isolating task-evoked brain signals from background physiological noise (e.g., cardiac, respiratory, and blood pressure fluctuations) poses a major challenge for the analysis of functional near-infrared spectroscopy (fNIRS) data. Aim: The performance of several analytic methods to separate background physiological noise from brain activity including spatial and temporal filtering, regression, component analysis, and the use of short-separation (SS) measurements were quantitatively compared. Approach: Using experimentally recorded background signals (breath-hold task), receiver operating characteristics simulations were performed by adding various levels of additive synthetic "brain" responses in order to examine the sensitivity and specificity of several

SUBMITTER: Santosa H 

PROVIDER: S-EPMC7511246 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature