NDLI: The Increase of the Functional Entropy of the Human Brain with Age

Content Provider	PubMed Central
Author	Yao, Y. Lu, W. L. Xu, B. Li, C. B. Lin, C. P. Waxman, D. Feng, J. F.
Copyright Year	2013
Abstract	We use entropy to characterize intrinsic ageing properties of the human brain. Analysis of fMRI data from a large dataset of individuals, using resting state BOLD signals, demonstrated that a functional entropy associated with brain activity increases with age. During an average lifespan, the entropy, which was calculated from a population of individuals, increased by approximately 0.1 bits, due to correlations in BOLD activity becoming more widely distributed. We attribute this to the number of excitatory neurons and the excitatory conductance decreasing with age. Incorporating these properties into a computational model leads to quantitatively similar results to the fMRI data. Our dataset involved males and females and we found significant differences between them. The entropy of males at birth was lower than that of females. However, the entropies of the two sexes increase at different rates, and intersect at approximately 50 years; after this age, males have a larger entropy.
Related Links	http://dx.doi.org/10.1038/srep02853
Starting Page	2853
File Format	PDF
ISSN	20452322
e-ISSN	20452322
Journal	Scientific Reports
Volume Number	3
Language	English
Publisher	Nature Publishing Group
Publisher Date	2013-10-01
Access Restriction	Open
Rights Holder	Nature Publishing Group
Subject Keyword	Science and technology Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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