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Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application
The quality of optode arrangement is crucial for group imaging studies when using functional near‐infrared spectroscopy (fNIRS). Previous studies have demonstrated the promising effectiveness of using transcranial brain atlases (TBAs), in a manual and intuition‐based way, to guide optode arrangement...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978141/ https://www.ncbi.nlm.nih.gov/pubmed/33332685 http://dx.doi.org/10.1002/hbm.25318 |
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author | Zhao, Yang Xiao, Xiang Jiang, Yi‐Han Sun, Pei‐Pei Zhang, Zong Gong, Yi‐Long Li, Zheng Zhu, Chao‐Zhe |
author_facet | Zhao, Yang Xiao, Xiang Jiang, Yi‐Han Sun, Pei‐Pei Zhang, Zong Gong, Yi‐Long Li, Zheng Zhu, Chao‐Zhe |
author_sort | Zhao, Yang |
collection | PubMed |
description | The quality of optode arrangement is crucial for group imaging studies when using functional near‐infrared spectroscopy (fNIRS). Previous studies have demonstrated the promising effectiveness of using transcranial brain atlases (TBAs), in a manual and intuition‐based way, to guide optode arrangement when individual structural MRI data are unavailable. However, the theoretical basis of using TBA to optimize optode arrangement remains unclear, which leads to manual and subjective application. In this study, we first describe the theoretical basis of TBA‐based optimization of optode arrangement using a mathematical framework. Second, based on the theoretical basis, an algorithm is proposed for automatically arranging optodes on a virtual scalp. The resultant montage is placed onto the head of each participant guided by a low‐cost and portable navigation system. We compared our method with the widely used 10/20‐system‐assisted optode arrangement procedure, using finger‐tapping and working memory tasks as examples of both low‐ and high‐level cognitive systems. Performance, including optode montage designs, locations on each participant's scalp, brain activation, as well as ground truth indices derived from individual MRI data were evaluated. The results give convergent support for our method's ability to provide more accurate, consistent and efficient optode arrangements for fNIRS group imaging than the 10/20 method. |
format | Online Article Text |
id | pubmed-7978141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79781412021-03-23 Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application Zhao, Yang Xiao, Xiang Jiang, Yi‐Han Sun, Pei‐Pei Zhang, Zong Gong, Yi‐Long Li, Zheng Zhu, Chao‐Zhe Hum Brain Mapp Research Articles The quality of optode arrangement is crucial for group imaging studies when using functional near‐infrared spectroscopy (fNIRS). Previous studies have demonstrated the promising effectiveness of using transcranial brain atlases (TBAs), in a manual and intuition‐based way, to guide optode arrangement when individual structural MRI data are unavailable. However, the theoretical basis of using TBA to optimize optode arrangement remains unclear, which leads to manual and subjective application. In this study, we first describe the theoretical basis of TBA‐based optimization of optode arrangement using a mathematical framework. Second, based on the theoretical basis, an algorithm is proposed for automatically arranging optodes on a virtual scalp. The resultant montage is placed onto the head of each participant guided by a low‐cost and portable navigation system. We compared our method with the widely used 10/20‐system‐assisted optode arrangement procedure, using finger‐tapping and working memory tasks as examples of both low‐ and high‐level cognitive systems. Performance, including optode montage designs, locations on each participant's scalp, brain activation, as well as ground truth indices derived from individual MRI data were evaluated. The results give convergent support for our method's ability to provide more accurate, consistent and efficient optode arrangements for fNIRS group imaging than the 10/20 method. John Wiley & Sons, Inc. 2020-12-17 /pmc/articles/PMC7978141/ /pubmed/33332685 http://dx.doi.org/10.1002/hbm.25318 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Zhao, Yang Xiao, Xiang Jiang, Yi‐Han Sun, Pei‐Pei Zhang, Zong Gong, Yi‐Long Li, Zheng Zhu, Chao‐Zhe Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application |
title | Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application |
title_full | Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application |
title_fullStr | Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application |
title_full_unstemmed | Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application |
title_short | Transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: Theory, algorithm, and application |
title_sort | transcranial brain atlas‐based optimization for functional near‐infrared spectroscopy optode arrangement: theory, algorithm, and application |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978141/ https://www.ncbi.nlm.nih.gov/pubmed/33332685 http://dx.doi.org/10.1002/hbm.25318 |
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