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Array Designer: automated optimized array design for functional near-infrared spectroscopy

The position of each source and detector “optode” on the scalp, and their relative separations, determines the sensitivity of each functional near-infrared spectroscopy (fNIRS) channel to the underlying cortex. As a result, selecting appropriate scalp locations for the available sources and detector...

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Detalles Bibliográficos
Autores principales: Brigadoi, Sabrina, Salvagnin, Domenico, Fischetti, Matteo, Cooper, Robert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135986/
https://www.ncbi.nlm.nih.gov/pubmed/30238021
http://dx.doi.org/10.1117/1.NPh.5.3.035010
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author Brigadoi, Sabrina
Salvagnin, Domenico
Fischetti, Matteo
Cooper, Robert J.
author_facet Brigadoi, Sabrina
Salvagnin, Domenico
Fischetti, Matteo
Cooper, Robert J.
author_sort Brigadoi, Sabrina
collection PubMed
description The position of each source and detector “optode” on the scalp, and their relative separations, determines the sensitivity of each functional near-infrared spectroscopy (fNIRS) channel to the underlying cortex. As a result, selecting appropriate scalp locations for the available sources and detectors is critical to every fNIRS experiment. At present, it is standard practice for the user to undertake this task manually; to select what they believe are the best locations on the scalp to place their optodes so as to sample a given cortical region-of-interest (ROI). This process is difficult, time-consuming, and highly subjective. Here, we propose a tool, Array Designer, that is able to automatically design optimized fNIRS arrays given a user-defined ROI and certain features of the available fNIRS device. Critically, the Array Designer methodology is generalizable and will be applicable to almost any subject population or fNIRS device. We describe and validate the algorithmic methodology that underpins Array Designer by running multiple simulations of array design problems in a realistic anatomical model. We believe that Array Designer has the potential to end the need for manual array design, and in doing so save researchers time, improve fNIRS data quality, and promote standardization across the field.
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spelling pubmed-61359862019-09-13 Array Designer: automated optimized array design for functional near-infrared spectroscopy Brigadoi, Sabrina Salvagnin, Domenico Fischetti, Matteo Cooper, Robert J. Neurophotonics Research Papers The position of each source and detector “optode” on the scalp, and their relative separations, determines the sensitivity of each functional near-infrared spectroscopy (fNIRS) channel to the underlying cortex. As a result, selecting appropriate scalp locations for the available sources and detectors is critical to every fNIRS experiment. At present, it is standard practice for the user to undertake this task manually; to select what they believe are the best locations on the scalp to place their optodes so as to sample a given cortical region-of-interest (ROI). This process is difficult, time-consuming, and highly subjective. Here, we propose a tool, Array Designer, that is able to automatically design optimized fNIRS arrays given a user-defined ROI and certain features of the available fNIRS device. Critically, the Array Designer methodology is generalizable and will be applicable to almost any subject population or fNIRS device. We describe and validate the algorithmic methodology that underpins Array Designer by running multiple simulations of array design problems in a realistic anatomical model. We believe that Array Designer has the potential to end the need for manual array design, and in doing so save researchers time, improve fNIRS data quality, and promote standardization across the field. Society of Photo-Optical Instrumentation Engineers 2018-09-13 2018-07 /pmc/articles/PMC6135986/ /pubmed/30238021 http://dx.doi.org/10.1117/1.NPh.5.3.035010 Text en © The Authors. https://creativecommons.org/licenses/by/3.0/ Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Research Papers
Brigadoi, Sabrina
Salvagnin, Domenico
Fischetti, Matteo
Cooper, Robert J.
Array Designer: automated optimized array design for functional near-infrared spectroscopy
title Array Designer: automated optimized array design for functional near-infrared spectroscopy
title_full Array Designer: automated optimized array design for functional near-infrared spectroscopy
title_fullStr Array Designer: automated optimized array design for functional near-infrared spectroscopy
title_full_unstemmed Array Designer: automated optimized array design for functional near-infrared spectroscopy
title_short Array Designer: automated optimized array design for functional near-infrared spectroscopy
title_sort array designer: automated optimized array design for functional near-infrared spectroscopy
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135986/
https://www.ncbi.nlm.nih.gov/pubmed/30238021
http://dx.doi.org/10.1117/1.NPh.5.3.035010
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