Reducing false discoveries in resting-state functional connectivity using short channel correction: an fNIRS study.

ABSTRACT: Significance: Functional near-infrared spectroscopy (fNIRS) is a neuroimaging tool that can measure resting-state functional connectivity; however, non-neuronal components present in fNIRS signals introduce false discoveries in connectivity, which can impact interpretation of functional networks. Aim: We investigated the effect of short channel correction on resting-state connectivity by removing non-neuronal signals from fNIRS long channel data. We hypothesized that false discoveries in connectivity can be reduced, hence improving the discriminability of functional networks of known, different connectivity strengths. Approach: A principal component analysis-based short channel correction technique was applied to resting-state data of 10 healthy adult subjects. Connect

SUBMITTER: Paranawithana I 

PROVIDER: S-EPMC8765292 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature