A physical model for dementia

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Apr 2017Embargo end date: 01 Jan 2014 English Publisher:Elsevier BVJournal:Physica A: Statistical Mechanics and its Applications, volume 472, pages 86-93 (issn: 0378-4371,

Copyright policy )Funded by:NIH | Alzheimers Disease Neuroi..., CIHR | unidentified

Authors: Sotolongo-Costa, O.; Gaggero-Sager, L. M.; Becker, J. T.; Maestu, F.; Sotolongo-Grau, O.;

doi: 10.1016/j.physa.2016.12.086 , 10.48550/arxiv.1410.1025

pmid: 28827893

pmc: PMC5562389

arXiv: 1410.1025

A physical model for dementia

- Summary
- Subjects
- Metrics

Abstract

Aging associated brain decline often result in some kind of dementia. Even when this is a complex brain disorder a physical model can be used in order to describe its general behavior. This model is based in first principles. A probabilistic model for the development of dementia is obtained and fitted to some experimental data obtained from the Alzheimer's Disease Neuroimaging Initiative. It is explained how dementia appears as a consequence of aging and why it is irreversible.

12 pages, 4 figures. submitted for publication

Related Organizations

Universidad Autónoma del Estado de Morelos
Mexico
University of Pittsburgh
United States
Alzheimer’s Disease Neuroimaging Initiative
United States

Keywords

catastrophe theory, General biostatistics, FOS: Physical sciences, stochastic process, Medical applications (general), Biological Physics (physics.bio-ph), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, cusp, Neurons and Cognition (q-bio.NC), Physics - Biological Physics, dementia

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average