Time domain functional NIRS imaging for human brain mapping

By Alessandro Torricelli, Davide Contini, Antonio Pifferi, Matteo Caffini, Rebecca Re, Lucia Zucchelli, Lorenzo Spinelli. NeuroImage, 2014

450 citations recorded by the source corpus.

This review is aimed at presenting the state-of-the-art of time domain (TD) functional near-infrared spectroscopy (fNIRS). We first introduce the physical principles, the basics of modeling and data analysis. Basic instrumentation components (light sources, detection techniques, and delivery and collection systems) of a TD fNIRS system are described. A survey of past, existing and next generation TD fNIRS systems used for research and clinical studies is presented. Performance assessment of TD fNIRS systems and standardization issues are also discussed. Main strengths and weakness of TD fNIRS are highlighted, also in comparison with continuous wave (CW) fNIRS. Issues like quantification of the hemodynamic response, penetration depth, depth selectivity, spatial resolution and contrast-to-noise ratio are critically examined, with the help of experimental results performed on phantoms or in vivo. Finally we give an account on the technological developments that would pave the way for a broader use of TD fNIRS in the neuroimaging community.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/08ef959b89f57b18aa112f074803d000340da30f

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In Biomedical Engineering

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Twenty years of functional near-infrared spectroscopy: introduction for the special issue (2014, background): “Tupak et al. (2014) show that the ventrolateral PFC is involved in emotion regulation while viewing threatening pictures in reference to neutral pictures.”
Functional Near-Infrared Spectroscopy (fNIRS) for Assessing Cerebral Cortex Function During Human Behavior in Natural/Social Situations: A Concise Review (2019, background): “This brief review article does not comprehensively cover all the advancements and pitfalls in all the aspects of fNIRS methods because they have been reported in detail in two recent technical review articles (Scholkmann et al., 2014; Torricelli et al., 2014).”