Neurofeedback technology based on functional near infrared spectroscopy imaging and its applications.
10.7507/1001-5515.202204031
- Author:
Mengqi LI
1
;
Anmin GONG
2
;
Wenya NAN
3
;
Bojun XU
1
;
Peng DING
1
;
Yunfa FU
1
Author Information
1. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.
2. School of Information Engineering, Chinese People's Armed Police Force Engineering University, Xi'an 710000, P. R. China.
3. Department of Psychology, School of Education, Shanghai Normal University, Shanghai 200234, P. R. China.
- Publication Type:Journal Article
- Keywords:
Brain-computer interface;
Functional near infrared spectroscopy;
Hemodynamics;
Neurofeedback;
Neuropsychiatric diseases
- MeSH:
Neurofeedback/methods*;
Spectroscopy, Near-Infrared/methods*;
Brain/diagnostic imaging*;
Magnetic Resonance Imaging;
Technology
- From:
Journal of Biomedical Engineering
2022;39(5):1041-1049
- CountryChina
- Language:Chinese
-
Abstract:
Neurofeedback (NF) technology based on electroencephalogram (EEG) data or functional magnetic resonance imaging (fMRI) has been widely studied and applied. In contrast, functional near infrared spectroscopy (fNIRS) has become a new technique in NF research in recent years. fNIRS is a neuroimaging technology based on hemodynamics, which has the advantages of low cost, good portability and high spatial resolution, and is more suitable for use in natural environments. At present, there is a lack of comprehensive review on fNIRS-NF technology (fNIRS-NF) in China. In order to provide a reference for the research of fNIRS-NF technology, this paper first describes the principle, key technologies and applications of fNIRS-NF, and focuses on the application of fNIRS-NF. Finally, the future development trend of fNIRS-NF is prospected and summarized. In conclusion, this paper summarizes fNIRS-NF technology and its application, and concludes that fNIRS-NF technology has potential practicability in neurological diseases and related fields. fNIRS can be used as a good method for NF training. This paper is expected to provide reference information for the development of fNIRS-NF technology.
