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Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy
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 tomog...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966407/ https://www.ncbi.nlm.nih.gov/pubmed/33727581 http://dx.doi.org/10.1038/s41598-021-85386-0 |
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author | Machado, A Cai, Z Vincent, T Pellegrino, G Lina, J-M Kobayashi, E Grova, C |
author_facet | Machado, A Cai, Z Vincent, T Pellegrino, G Lina, J-M Kobayashi, E Grova, C |
author_sort | Machado, A |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7966407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79664072021-03-19 Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy Machado, A Cai, Z Vincent, T Pellegrino, G Lina, J-M Kobayashi, E Grova, C Sci Rep Article 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. Nature Publishing Group UK 2021-03-16 /pmc/articles/PMC7966407/ /pubmed/33727581 http://dx.doi.org/10.1038/s41598-021-85386-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Machado, A Cai, Z Vincent, T Pellegrino, G Lina, J-M Kobayashi, E Grova, C Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966407/ https://www.ncbi.nlm.nih.gov/pubmed/33727581 http://dx.doi.org/10.1038/s41598-021-85386-0 |
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