A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements

Fabio Scarpa, Sabrina Brigadoi, Simone Cutini, Pietro Scatturin, Marco Zorzi, Roberto Dell'Acqua, Giovanni Sparacino

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Functional near-infrared spectroscopy (fNIRS) uses near-infrared light to measure cortical concentration changes in oxygenated (HbO) and deoxygenated hemoglobin (HbR) held to be correlated with cognitive activity. Providing a parametric depiction of such changes in the classic form of stimulus-evoked hemodynamic responses (HRs) can be attained with this technique only by solving two problems. One problem concerns the separation of informative optical signal from structurally analogous noise generated by a variety of spurious sources, such as heart beat, respiration, and vasomotor waves. Another problem pertains to the inherent variability of HRs, which is notoriously contingent on the type of experiment, brain region monitored, and human phenotype. A novel method was devised in the present context to solve both problems based on a two-step algorithm combining the treatment of noise-only data extrapolated from a reference-channel and a Bayesian filter applied on a per-trial basis. The present method was compared to two current methods based on conventional averaging, namely, a typical averaging method and an averaging method implementing the use of a reference-channel. The result of the comparison, carried out both on artificial and real data, revealed a sensitive accuracy improvement in HR estimation using the present method relative to each of the other methods.

Original languageEnglish
Pages (from-to)106-119
Number of pages14
JournalNeuroImage
Volume72
DOIs
Publication statusPublished - May 5 2013

Fingerprint

Near-Infrared Spectroscopy
Hemodynamics
Noise
Respiration
Hemoglobins
Phenotype
Light
Brain

Keywords

  • Bayesian filtering
  • FNIRS
  • Near-infrared spectroscopy
  • Physiological noise
  • Reference-channel

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Scarpa, F., Brigadoi, S., Cutini, S., Scatturin, P., Zorzi, M., Dell'Acqua, R., & Sparacino, G. (2013). A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements. NeuroImage, 72, 106-119. https://doi.org/10.1016/j.neuroimage.2013.01.021

A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements. / Scarpa, Fabio; Brigadoi, Sabrina; Cutini, Simone; Scatturin, Pietro; Zorzi, Marco; Dell'Acqua, Roberto; Sparacino, Giovanni.

In: NeuroImage, Vol. 72, 05.05.2013, p. 106-119.

Research output: Contribution to journalArticle

Scarpa, F, Brigadoi, S, Cutini, S, Scatturin, P, Zorzi, M, Dell'Acqua, R & Sparacino, G 2013, 'A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements', NeuroImage, vol. 72, pp. 106-119. https://doi.org/10.1016/j.neuroimage.2013.01.021
Scarpa, Fabio ; Brigadoi, Sabrina ; Cutini, Simone ; Scatturin, Pietro ; Zorzi, Marco ; Dell'Acqua, Roberto ; Sparacino, Giovanni. / A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements. In: NeuroImage. 2013 ; Vol. 72. pp. 106-119.
@article{1a1550e8c2f4483b9b57e8680497b423,
title = "A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements",
abstract = "Functional near-infrared spectroscopy (fNIRS) uses near-infrared light to measure cortical concentration changes in oxygenated (HbO) and deoxygenated hemoglobin (HbR) held to be correlated with cognitive activity. Providing a parametric depiction of such changes in the classic form of stimulus-evoked hemodynamic responses (HRs) can be attained with this technique only by solving two problems. One problem concerns the separation of informative optical signal from structurally analogous noise generated by a variety of spurious sources, such as heart beat, respiration, and vasomotor waves. Another problem pertains to the inherent variability of HRs, which is notoriously contingent on the type of experiment, brain region monitored, and human phenotype. A novel method was devised in the present context to solve both problems based on a two-step algorithm combining the treatment of noise-only data extrapolated from a reference-channel and a Bayesian filter applied on a per-trial basis. The present method was compared to two current methods based on conventional averaging, namely, a typical averaging method and an averaging method implementing the use of a reference-channel. The result of the comparison, carried out both on artificial and real data, revealed a sensitive accuracy improvement in HR estimation using the present method relative to each of the other methods.",
keywords = "Bayesian filtering, FNIRS, Near-infrared spectroscopy, Physiological noise, Reference-channel",
author = "Fabio Scarpa and Sabrina Brigadoi and Simone Cutini and Pietro Scatturin and Marco Zorzi and Roberto Dell'Acqua and Giovanni Sparacino",
year = "2013",
month = "5",
day = "5",
doi = "10.1016/j.neuroimage.2013.01.021",
language = "English",
volume = "72",
pages = "106--119",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements

AU - Scarpa, Fabio

AU - Brigadoi, Sabrina

AU - Cutini, Simone

AU - Scatturin, Pietro

AU - Zorzi, Marco

AU - Dell'Acqua, Roberto

AU - Sparacino, Giovanni

PY - 2013/5/5

Y1 - 2013/5/5

N2 - Functional near-infrared spectroscopy (fNIRS) uses near-infrared light to measure cortical concentration changes in oxygenated (HbO) and deoxygenated hemoglobin (HbR) held to be correlated with cognitive activity. Providing a parametric depiction of such changes in the classic form of stimulus-evoked hemodynamic responses (HRs) can be attained with this technique only by solving two problems. One problem concerns the separation of informative optical signal from structurally analogous noise generated by a variety of spurious sources, such as heart beat, respiration, and vasomotor waves. Another problem pertains to the inherent variability of HRs, which is notoriously contingent on the type of experiment, brain region monitored, and human phenotype. A novel method was devised in the present context to solve both problems based on a two-step algorithm combining the treatment of noise-only data extrapolated from a reference-channel and a Bayesian filter applied on a per-trial basis. The present method was compared to two current methods based on conventional averaging, namely, a typical averaging method and an averaging method implementing the use of a reference-channel. The result of the comparison, carried out both on artificial and real data, revealed a sensitive accuracy improvement in HR estimation using the present method relative to each of the other methods.

AB - Functional near-infrared spectroscopy (fNIRS) uses near-infrared light to measure cortical concentration changes in oxygenated (HbO) and deoxygenated hemoglobin (HbR) held to be correlated with cognitive activity. Providing a parametric depiction of such changes in the classic form of stimulus-evoked hemodynamic responses (HRs) can be attained with this technique only by solving two problems. One problem concerns the separation of informative optical signal from structurally analogous noise generated by a variety of spurious sources, such as heart beat, respiration, and vasomotor waves. Another problem pertains to the inherent variability of HRs, which is notoriously contingent on the type of experiment, brain region monitored, and human phenotype. A novel method was devised in the present context to solve both problems based on a two-step algorithm combining the treatment of noise-only data extrapolated from a reference-channel and a Bayesian filter applied on a per-trial basis. The present method was compared to two current methods based on conventional averaging, namely, a typical averaging method and an averaging method implementing the use of a reference-channel. The result of the comparison, carried out both on artificial and real data, revealed a sensitive accuracy improvement in HR estimation using the present method relative to each of the other methods.

KW - Bayesian filtering

KW - FNIRS

KW - Near-infrared spectroscopy

KW - Physiological noise

KW - Reference-channel

UR - http://www.scopus.com/inward/record.url?scp=84873742662&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873742662&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2013.01.021

DO - 10.1016/j.neuroimage.2013.01.021

M3 - Article

VL - 72

SP - 106

EP - 119

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -