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ABSTRACT: Significance
Functional near-infrared spectroscopy (fNIRS) is a valuable neuroimaging tool for non-invasively measuring hemodynamic changes in response to neural activity, particularly in auditory research. Although fNIRS shows strong test-retest reliability at the group level, individual-subject level reliability is often compromised by systemic noise.Aim
We investigate how correcting for systemic-physiological signals affects reliability in single-subject fNIRS data.Approach
fNIRS data were collected from one participant over 10 sessions during a passive auditory task. Using general linear modeling, six correction approaches were compared: no correction, physiology correction, short-channel correction, short-channel + physiology correction, short-channel + physiol
SUBMITTER: Sinfield VC
PROVIDER: S-EPMC11924667 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature