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The minimum resting-state fNIRS imaging duration for accurate and stable mapping of brain connectivity network in children
Resting-state functional near-infrared spectroscopy (fNIRS) is a potential technique for the study of brain functional connectivity (FC) and networks in children. However, the necessary fNIRS scanning duration required to map accurate and stable functional brain connectivity and graph theory metrics...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527110/ https://www.ncbi.nlm.nih.gov/pubmed/28743886 http://dx.doi.org/10.1038/s41598-017-06340-7 |
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author | Wang, Jingyu Dong, Qi Niu, Haijing |
author_facet | Wang, Jingyu Dong, Qi Niu, Haijing |
author_sort | Wang, Jingyu |
collection | PubMed |
description | Resting-state functional near-infrared spectroscopy (fNIRS) is a potential technique for the study of brain functional connectivity (FC) and networks in children. However, the necessary fNIRS scanning duration required to map accurate and stable functional brain connectivity and graph theory metrics in the resting-state brain activity remains largely unknown. Here, we acquired resting-state fNIRS imaging data from 53 healthy children to provide the first empirical evidence for the minimum imaging time required to obtain accurate and stable FC and graph theory metrics of brain network activity (e.g., nodal efficiency and network global and local efficiency). Our results showed that FC was accurately and stably achieved after 7.0-min fNIRS imaging duration, whereas the necessary scanning time for accurate and stable network measures was a minimum of 2.5 min at low network thresholds. These quantitative results provide direct evidence for the choice of the resting-state fNIRS imaging time in children in brain FC and network topology study. The current study also demonstrates that these methods are feasible and cost-effective in the application of time-constrained infants and critically ill children. |
format | Online Article Text |
id | pubmed-5527110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55271102017-08-02 The minimum resting-state fNIRS imaging duration for accurate and stable mapping of brain connectivity network in children Wang, Jingyu Dong, Qi Niu, Haijing Sci Rep Article Resting-state functional near-infrared spectroscopy (fNIRS) is a potential technique for the study of brain functional connectivity (FC) and networks in children. However, the necessary fNIRS scanning duration required to map accurate and stable functional brain connectivity and graph theory metrics in the resting-state brain activity remains largely unknown. Here, we acquired resting-state fNIRS imaging data from 53 healthy children to provide the first empirical evidence for the minimum imaging time required to obtain accurate and stable FC and graph theory metrics of brain network activity (e.g., nodal efficiency and network global and local efficiency). Our results showed that FC was accurately and stably achieved after 7.0-min fNIRS imaging duration, whereas the necessary scanning time for accurate and stable network measures was a minimum of 2.5 min at low network thresholds. These quantitative results provide direct evidence for the choice of the resting-state fNIRS imaging time in children in brain FC and network topology study. The current study also demonstrates that these methods are feasible and cost-effective in the application of time-constrained infants and critically ill children. Nature Publishing Group UK 2017-07-25 /pmc/articles/PMC5527110/ /pubmed/28743886 http://dx.doi.org/10.1038/s41598-017-06340-7 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wang, Jingyu Dong, Qi Niu, Haijing The minimum resting-state fNIRS imaging duration for accurate and stable mapping of brain connectivity network in children |
title | The minimum resting-state fNIRS imaging duration for accurate and stable mapping of brain connectivity network in children |
title_full | The minimum resting-state fNIRS imaging duration for accurate and stable mapping of brain connectivity network in children |
title_fullStr | The minimum resting-state fNIRS imaging duration for accurate and stable mapping of brain connectivity network in children |
title_full_unstemmed | The minimum resting-state fNIRS imaging duration for accurate and stable mapping of brain connectivity network in children |
title_short | The minimum resting-state fNIRS imaging duration for accurate and stable mapping of brain connectivity network in children |
title_sort | minimum resting-state fnirs imaging duration for accurate and stable mapping of brain connectivity network in children |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527110/ https://www.ncbi.nlm.nih.gov/pubmed/28743886 http://dx.doi.org/10.1038/s41598-017-06340-7 |
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