Abstract
Functional near-infrared spectroscopy (fNIRS) is an effective non-invasive neuroimaging technique for measuring hemoglobin concentration in the cerebral cortex. Owing to the nature of fNIRS measurement principles, measured signals can be contaminated with task-related scalp blood flow (SBF), which is distributed over the whole head and masks true brain activity. Aiming for fNIRS-based real-time application, we proposed a real-time task-related SBF artifact reduction method. Using a principal component analysis, we estimated a global temporal pattern of SBF from few short-channels, then we applied a general linear model for removing it from long-channels that were possibly contaminated by SBF. Sliding-window analysis was applied for both signal steps for real-time processing. To assess the performance, a semi-real simulation was executed with measured short-channel signals in a motor-task experiment. Compared with conventional techniques with no elements of SBF, the proposed method showed significantly higher estimation performance for true brain activation under a task-related SBF artifact environment.
Highlights
Functional near-infrared spectroscopy is an effective non-invasive neuroimaging technique that measures hemoglobin concentration changes as an indicator of activity in the cerebral cortex [1]
Activation of the autonomic nervous system, which is affected by experimental tasks, leads to physiological changes that affect the task-related evocation of scalp blood flow (SBF) as a specific global artifact of Functional near-infrared spectroscopy (fNIRS)
Because the aims of real-time signal processing of fNIRS-based applications are to estimate true brain activation and reduce artifacts from raw signals, we proposed a real-time ShortPCA general linear model (GLM)
Summary
Functional near-infrared spectroscopy (fNIRS) is an effective non-invasive neuroimaging technique that measures hemoglobin concentration changes as an indicator of activity in the cerebral cortex [1]. Activation of the autonomic nervous system, which is affected by experimental tasks, leads to physiological changes (i.e., cardiac, respiratory, Mayer waves and low frequency) that affect the task-related evocation of SBF as a specific global artifact of fNIRS (scalp-hemodynamics artifact). Even though this negative-effect artifact shows task-related changes, it does not reflect brain activation [7,8,9,10].
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
