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FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data
Functional near-infrared spectroscopy (fNIRS), a promising noninvasive imaging technique, has recently become an increasingly popular tool in resting-state brain functional connectivity (FC) studies. However, the corresponding software packages for FC analysis are still lacking. To facilitate fNIRS-...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619753/ https://www.ncbi.nlm.nih.gov/pubmed/26539473 http://dx.doi.org/10.1155/2015/248724 |
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author | Xu, Jingping Liu, Xiangyu Zhang, Jinrui Li, Zhen Wang, Xindi Fang, Fang Niu, Haijing |
author_facet | Xu, Jingping Liu, Xiangyu Zhang, Jinrui Li, Zhen Wang, Xindi Fang, Fang Niu, Haijing |
author_sort | Xu, Jingping |
collection | PubMed |
description | Functional near-infrared spectroscopy (fNIRS), a promising noninvasive imaging technique, has recently become an increasingly popular tool in resting-state brain functional connectivity (FC) studies. However, the corresponding software packages for FC analysis are still lacking. To facilitate fNIRS-based human functional connectome studies, we developed a MATLAB software package called “functional connectivity analysis tool for near-infrared spectroscopy data” (FC-NIRS). This package includes the main functions of fNIRS data preprocessing, quality control, FC calculation, and network analysis. Because this software has a friendly graphical user interface (GUI), FC-NIRS allows researchers to perform data analysis in an easy, flexible, and quick way. Furthermore, FC-NIRS can accomplish batch processing during data processing and analysis, thereby greatly reducing the time cost of addressing a large number of datasets. Extensive experimental results using real human brain imaging confirm the viability of the toolbox. This novel toolbox is expected to substantially facilitate fNIRS-data-based human functional connectome studies. |
format | Online Article Text |
id | pubmed-4619753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46197532015-11-04 FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data Xu, Jingping Liu, Xiangyu Zhang, Jinrui Li, Zhen Wang, Xindi Fang, Fang Niu, Haijing Biomed Res Int Research Article Functional near-infrared spectroscopy (fNIRS), a promising noninvasive imaging technique, has recently become an increasingly popular tool in resting-state brain functional connectivity (FC) studies. However, the corresponding software packages for FC analysis are still lacking. To facilitate fNIRS-based human functional connectome studies, we developed a MATLAB software package called “functional connectivity analysis tool for near-infrared spectroscopy data” (FC-NIRS). This package includes the main functions of fNIRS data preprocessing, quality control, FC calculation, and network analysis. Because this software has a friendly graphical user interface (GUI), FC-NIRS allows researchers to perform data analysis in an easy, flexible, and quick way. Furthermore, FC-NIRS can accomplish batch processing during data processing and analysis, thereby greatly reducing the time cost of addressing a large number of datasets. Extensive experimental results using real human brain imaging confirm the viability of the toolbox. This novel toolbox is expected to substantially facilitate fNIRS-data-based human functional connectome studies. Hindawi Publishing Corporation 2015 2015-10-11 /pmc/articles/PMC4619753/ /pubmed/26539473 http://dx.doi.org/10.1155/2015/248724 Text en Copyright © 2015 Jingping Xu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Xu, Jingping Liu, Xiangyu Zhang, Jinrui Li, Zhen Wang, Xindi Fang, Fang Niu, Haijing FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data |
title | FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data |
title_full | FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data |
title_fullStr | FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data |
title_full_unstemmed | FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data |
title_short | FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data |
title_sort | fc-nirs: a functional connectivity analysis tool for near-infrared spectroscopy data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619753/ https://www.ncbi.nlm.nih.gov/pubmed/26539473 http://dx.doi.org/10.1155/2015/248724 |
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