| Title | FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data |
| Authors | Xu, Jingping Liu, Xiangyu Zhang, Jinrui Li, Zhen Wang, Xindi Fang, Fang Niu, Haijing |
| Affiliation | Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China. Beijing Normal Univ, IDG McGovern Inst Brain Res, Beijing 100875, Peoples R China. Beijing Normal Univ, Ctr Collaborat & Innovat Brain & Learning Sci, Beijing 100875, Peoples R China. Jilin Oil Field Gen Hosp, Dept Neurol, Songyuan 138000, Jilin, Peoples R China. Jilin Oil Field Gen Hosp, Circulating Dept Internal Med, Songyuan 138000, Jilin, Peoples R China. Peking Univ, Dept Psychol, Beijing 100871, Peoples R China. Peking Univ, Beijing Key Lab Behav & Mental Hlth, Beijing 100871, Peoples R China. Peking Univ, Minist Educ, Key Lab Machine Percept, Beijing 100871, Peoples R China. Peking Univ, Peking Tsinghua Ctr Life Sci, Beijing 100871, Peoples R China. Peking Univ, PKU IDG McGovern Inst Brain Res, Beijing 100871, Peoples R China. |
| Keywords | FNIRS BRAIN INFANTS CORTEX |
| Issue Date | 2015 |
| Publisher | BIOMED RESEARCH INTERNATIONAL |
| Citation | BIOMED RESEARCH INTERNATIONAL.2015. |
| Abstract | 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. |
| URI | http://hdl.handle.net/20.500.11897/417053 |
| ISSN | 2314-6133 |
| DOI | 10.1155/2015/248724 |
| Indexed | SCI(E) PubMed |
| Appears in Collections: | 心理与认知科学学院 机器感知与智能教育部重点实验室 生命科学学院 行为与心理健康北京市重点实验室 |
