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The Application of Complexity Analysis in Brain Blood-Oxygen Signal

Authors :
Xiaoyang Xin
Shuyang Long
Mengdan Sun
Xiaoqing Gao
Source :
Brain Sciences, Vol 11, Iss 11, p 1415 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

One of the daunting features of the brain is its physiology complexity, which arises from the interaction of numerous neuronal circuits that operate over a wide range of temporal and spatial scales, enabling the brain to adapt to the constantly changing environment and to perform various cognitive functions. As a reflection of the complexity of brain physiology, the complexity of brain blood-oxygen signal has been frequently studied in recent years. This paper reviews previous literature regarding the following three aspects: (1) whether the complexity of the brain blood-oxygen signal can serve as a reliable biomarker for distinguishing different patient populations; (2) which is the best algorithm for complexity measure? And (3) how to select the optimal parameters for complexity measures. We then discuss future directions for blood-oxygen signal complexity analysis, including improving complexity measurement based on the characteristics of both spatial patterns of brain blood-oxygen signal and latency of complexity itself. In conclusion, the current review helps to better understand complexity analysis in brain blood-oxygen signal analysis and provide useful information for future studies.

Details

Language :
English
ISSN :
20763425
Volume :
11
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Brain Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.452bfe311d44251b1699e9599a0aaaf
Document Type :
article
Full Text :
https://doi.org/10.3390/brainsci11111415