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September 23, 2020Neurophotonics142 citationsOpen Access

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

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Comparison

Multiple short-separation measurements as… vs Other tested existing methods for removing…

Design

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Authors

HSHendrik SantosaXZXuetong ZhaiFFFrank A. Fishburn

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Overview

Optimizes fNIRS preprocessing for systemic signals; extends prior methods but leaves open clinical validation.

Structured PICO

I
Intervention
Multiple short-separation (SS) measurements as regressors of no interest implemented in a robust, iteratively prewhitened, general linear model
C
Comparator
Other tested existing methods for removing systemic physiological signal
O
Outcome
Performance of correction techniques for removing systemic physiological signal

A robust, iteratively prewhitened general linear model using multiple short-separation measurements provides the best correction for systemic physiological signals in functional near-infrared spectroscopy.

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Santosa et al. (2020) studied this question.

synapsesocial.com/papers/69fef364831589f3542d6e38https://doi.org/10.1117/1.nph.7.3.035009
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