The Application of Complexity Analysis in Brain Blood-Oxygen Signal

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 f...

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Autores principales:	Xiaoyang Xin, Shuyang Long, Mengdan Sun, Xiaoqing Gao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	complexity analysis blood-oxygen signal biomarker entropy Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/e452bfe311d44251b1699e9599a0aaaf
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spelling	oai:doaj.org-article:e452bfe311d44251b1699e9599a0aaaf2021-11-25T16:56:46ZThe Application of Complexity Analysis in Brain Blood-Oxygen Signal10.3390/brainsci111114152076-3425https://doaj.org/article/e452bfe311d44251b1699e9599a0aaaf2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3425/11/11/1415https://doaj.org/toc/2076-3425One 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.Xiaoyang XinShuyang LongMengdan SunXiaoqing GaoMDPI AGarticlecomplexity analysisblood-oxygen signalbiomarkerentropyNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain Sciences, Vol 11, Iss 1415, p 1415 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	complexity analysis blood-oxygen signal biomarker entropy Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	complexity analysis blood-oxygen signal biomarker entropy Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Xiaoyang Xin Shuyang Long Mengdan Sun Xiaoqing Gao The Application of Complexity Analysis in Brain Blood-Oxygen Signal
description	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.
format	article
author	Xiaoyang Xin Shuyang Long Mengdan Sun Xiaoqing Gao
author_facet	Xiaoyang Xin Shuyang Long Mengdan Sun Xiaoqing Gao
author_sort	Xiaoyang Xin
title	The Application of Complexity Analysis in Brain Blood-Oxygen Signal
title_short	The Application of Complexity Analysis in Brain Blood-Oxygen Signal
title_full	The Application of Complexity Analysis in Brain Blood-Oxygen Signal
title_fullStr	The Application of Complexity Analysis in Brain Blood-Oxygen Signal
title_full_unstemmed	The Application of Complexity Analysis in Brain Blood-Oxygen Signal
title_sort	application of complexity analysis in brain blood-oxygen signal
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e452bfe311d44251b1699e9599a0aaaf
work_keys_str_mv	AT xiaoyangxin theapplicationofcomplexityanalysisinbrainbloodoxygensignal AT shuyanglong theapplicationofcomplexityanalysisinbrainbloodoxygensignal AT mengdansun theapplicationofcomplexityanalysisinbrainbloodoxygensignal AT xiaoqinggao theapplicationofcomplexityanalysisinbrainbloodoxygensignal AT xiaoyangxin applicationofcomplexityanalysisinbrainbloodoxygensignal AT shuyanglong applicationofcomplexityanalysisinbrainbloodoxygensignal AT mengdansun applicationofcomplexityanalysisinbrainbloodoxygensignal AT xiaoqinggao applicationofcomplexityanalysisinbrainbloodoxygensignal
_version_	1718412868985028608

The Application of Complexity Analysis in Brain Blood-Oxygen Signal

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