Paper Info
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.
Year
DOI
Venue
2013
10.1016/j.neuroimage.2013.01.021
NeuroImage
Keywords
Field
DocType
fNIRS,Near-infrared spectroscopy,Reference-channel,Bayesian filtering,Physiological noise
Heart beat,Haemodynamic response,Pattern recognition,Computer science,Cognitive psychology,Communication channel,Speech recognition,Parametric statistics,Artificial intelligence,Communication noise,Bayesian filtering,Spurious relationship
Journal
Volume
ISSN
Citations 
72
1053-8119
7
PageRank 
References 
Authors
0.51
20
7
Name
Order
Citations
PageRank
Fabio Scarpa1373.43
Sabrina Brigadoi2394.89
Simone Cutini3655.94
Pietro Scatturin4584.02
Marco Zorzi5719.87
Roberto Dell'Acqua6294.18
Giovanni Sparacino727652.52