title: FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data.
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.
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China.
authors.forename: Jingping
authors.initials: J
authors.lastname: Xu
authors.affiliation: Department of Neurology, Jilin Oil Field General Hospital, Jilin 138000, China.
authors.forename: Xiangyu
authors.initials: X
authors.lastname: Liu
authors.affiliation: Circulating Department of Internal Medicine, Jilin Oil field General Hospital, Jilin 138000, China.
authors.forename: Jinrui
authors.initials: J
authors.lastname: Zhang
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Li
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China.
authors.forename: Xindi
authors.initials: X
authors.lastname: Wang
authors.affiliation: Department of Psychology and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China ; Key Laboratory of Machine Perception, Ministry of Education, Peking University, Beijing 100871, China ; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China ; PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Fang
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China.
authors.forename: Haijing
authors.initials: H
authors.lastname: Niu
mesh_terms: D001921:Brain / Q000502:physiology*; D063132:Connectome; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D012984:Software; D019265:Spectroscopy, Near-Infrared