Sample entropy reveals an age-related reduction in the complexity of dynamic brain

Abstract Dynamic reconfiguration of the human brain is characterized by the nature of complexity. The purpose of this study was to measure such complexity and also analyze its association with age. We modeled the dynamic reconfiguration process by dynamic functional connectivity, which was establish...

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Autores principales:	Yanbing Jia, Huaguang Gu, Qiang Luo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c81a75d7b8784b18bf5c436a1865942c
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spelling	oai:doaj.org-article:c81a75d7b8784b18bf5c436a1865942c2021-12-02T16:06:21ZSample entropy reveals an age-related reduction in the complexity of dynamic brain10.1038/s41598-017-08565-y2045-2322https://doaj.org/article/c81a75d7b8784b18bf5c436a1865942c2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08565-yhttps://doaj.org/toc/2045-2322Abstract Dynamic reconfiguration of the human brain is characterized by the nature of complexity. The purpose of this study was to measure such complexity and also analyze its association with age. We modeled the dynamic reconfiguration process by dynamic functional connectivity, which was established by resting-state functional magnetic resonance imaging (fMRI) data, and we measured complexity within the dynamic functional connectivity by sample entropy (SampEn). A brainwide map of SampEn in healthy subjects shows larger values in the caudate, the olfactory gyrus, the amygdala, and the hippocampus, and lower values in primary sensorimotor and visual areas. Association analysis in healthy subjects indicated that SampEn of the amygdala-cortical connectivity decreases with advancing age. Such age-related loss of SampEn, however, disappears in patients with schizophrenia. These findings suggest that SampEn of the dynamic functional connectivity is a promising indicator of normal aging.Yanbing JiaHuaguang GuQiang LuoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yanbing Jia Huaguang Gu Qiang Luo Sample entropy reveals an age-related reduction in the complexity of dynamic brain
description	Abstract Dynamic reconfiguration of the human brain is characterized by the nature of complexity. The purpose of this study was to measure such complexity and also analyze its association with age. We modeled the dynamic reconfiguration process by dynamic functional connectivity, which was established by resting-state functional magnetic resonance imaging (fMRI) data, and we measured complexity within the dynamic functional connectivity by sample entropy (SampEn). A brainwide map of SampEn in healthy subjects shows larger values in the caudate, the olfactory gyrus, the amygdala, and the hippocampus, and lower values in primary sensorimotor and visual areas. Association analysis in healthy subjects indicated that SampEn of the amygdala-cortical connectivity decreases with advancing age. Such age-related loss of SampEn, however, disappears in patients with schizophrenia. These findings suggest that SampEn of the dynamic functional connectivity is a promising indicator of normal aging.
format	article
author	Yanbing Jia Huaguang Gu Qiang Luo
author_facet	Yanbing Jia Huaguang Gu Qiang Luo
author_sort	Yanbing Jia
title	Sample entropy reveals an age-related reduction in the complexity of dynamic brain
title_short	Sample entropy reveals an age-related reduction in the complexity of dynamic brain
title_full	Sample entropy reveals an age-related reduction in the complexity of dynamic brain
title_fullStr	Sample entropy reveals an age-related reduction in the complexity of dynamic brain
title_full_unstemmed	Sample entropy reveals an age-related reduction in the complexity of dynamic brain
title_sort	sample entropy reveals an age-related reduction in the complexity of dynamic brain
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/c81a75d7b8784b18bf5c436a1865942c
work_keys_str_mv	AT yanbingjia sampleentropyrevealsanagerelatedreductioninthecomplexityofdynamicbrain AT huaguanggu sampleentropyrevealsanagerelatedreductioninthecomplexityofdynamicbrain AT qiangluo sampleentropyrevealsanagerelatedreductioninthecomplexityofdynamicbrain
_version_	1718385053901258752

Sample entropy reveals an age-related reduction in the complexity of dynamic brain

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