Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy

Abstract In functional near infrared spectroscopy (fNIRS), deconvolution analysis of oxy and deoxy-hemoglobin concentration changes allows estimating specific hemodynamic response functions (HRF) elicited by neuronal activity, taking advantage of the fNIRS excellent temporal resolution. Diffuse opti...

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Autores principales:	A Machado, Z Cai, T Vincent, G Pellegrino, J-M Lina, E Kobayashi, C Grova
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6bbe0900ebed4691bd5664d87974cce1
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spelling	oai:doaj.org-article:6bbe0900ebed4691bd5664d87974cce12021-12-02T16:30:58ZDeconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy10.1038/s41598-021-85386-02045-2322https://doaj.org/article/6bbe0900ebed4691bd5664d87974cce12021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85386-0https://doaj.org/toc/2045-2322Abstract In functional near infrared spectroscopy (fNIRS), deconvolution analysis of oxy and deoxy-hemoglobin concentration changes allows estimating specific hemodynamic response functions (HRF) elicited by neuronal activity, taking advantage of the fNIRS excellent temporal resolution. Diffuse optical tomography (DOT) is also becoming the new standard reconstruction procedure as it is more accurate than the modified Beer Lambert law approach at the sensor level. The objective of this study was to assess the relevance of HRF deconvolution after DOT constrained along the cortical surface. We used local personalized fNIRS montages which consists in optimizing the position of fNIRS optodes to ensure maximal sensitivity to subject specific target brain regions. We carefully evaluated the accuracy of deconvolution when applied after DOT, using realistic simulations involving several HRF models at different signal to noise ratio (SNR) levels and on real data related to motor and visual tasks in healthy subjects and from spontaneous pathological activity in one patient with epilepsy. We demonstrated that DOT followed by deconvolution was able to accurately recover a large variability of HRFs over a large range of SNRs. We found good performances of deconvolution analysis for SNR levels usually encountered in our applications and we were able to reconstruct accurately the temporal dynamics of HRFs in real conditions.A MachadoZ CaiT VincentG PellegrinoJ-M LinaE KobayashiC GrovaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q A Machado Z Cai T Vincent G Pellegrino J-M Lina E Kobayashi C Grova Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy
description	Abstract In functional near infrared spectroscopy (fNIRS), deconvolution analysis of oxy and deoxy-hemoglobin concentration changes allows estimating specific hemodynamic response functions (HRF) elicited by neuronal activity, taking advantage of the fNIRS excellent temporal resolution. Diffuse optical tomography (DOT) is also becoming the new standard reconstruction procedure as it is more accurate than the modified Beer Lambert law approach at the sensor level. The objective of this study was to assess the relevance of HRF deconvolution after DOT constrained along the cortical surface. We used local personalized fNIRS montages which consists in optimizing the position of fNIRS optodes to ensure maximal sensitivity to subject specific target brain regions. We carefully evaluated the accuracy of deconvolution when applied after DOT, using realistic simulations involving several HRF models at different signal to noise ratio (SNR) levels and on real data related to motor and visual tasks in healthy subjects and from spontaneous pathological activity in one patient with epilepsy. We demonstrated that DOT followed by deconvolution was able to accurately recover a large variability of HRFs over a large range of SNRs. We found good performances of deconvolution analysis for SNR levels usually encountered in our applications and we were able to reconstruct accurately the temporal dynamics of HRFs in real conditions.
format	article
author	A Machado Z Cai T Vincent G Pellegrino J-M Lina E Kobayashi C Grova
author_facet	A Machado Z Cai T Vincent G Pellegrino J-M Lina E Kobayashi C Grova
author_sort	A Machado
title	Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy
title_short	Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy
title_full	Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy
title_fullStr	Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy
title_full_unstemmed	Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy
title_sort	deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6bbe0900ebed4691bd5664d87974cce1
work_keys_str_mv	AT amachado deconvolutionofhemodynamicresponsesalongthecorticalsurfaceusingpersonalizedfunctionalnearinfraredspectroscopy AT zcai deconvolutionofhemodynamicresponsesalongthecorticalsurfaceusingpersonalizedfunctionalnearinfraredspectroscopy AT tvincent deconvolutionofhemodynamicresponsesalongthecorticalsurfaceusingpersonalizedfunctionalnearinfraredspectroscopy AT gpellegrino deconvolutionofhemodynamicresponsesalongthecorticalsurfaceusingpersonalizedfunctionalnearinfraredspectroscopy AT jmlina deconvolutionofhemodynamicresponsesalongthecorticalsurfaceusingpersonalizedfunctionalnearinfraredspectroscopy AT ekobayashi deconvolutionofhemodynamicresponsesalongthecorticalsurfaceusingpersonalizedfunctionalnearinfraredspectroscopy AT cgrova deconvolutionofhemodynamicresponsesalongthecorticalsurfaceusingpersonalizedfunctionalnearinfraredspectroscopy
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Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy

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