A physical model for dementia

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. A probabilistic model for the development of dementia is obtained and fitted to some experimental data obtained fro...

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Published inPhysica A Vol. 472; pp. 86 - 93
Main Authors Sotolongo-Costa, O., Gaggero-Sager, L.M., Becker, J.T., Maestu, F., Sotolongo-Grau, O.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 15.04.2017
Subjects
Catastrophe theory
Cusp
Dementia
Stochastic process
Stochastic process
Catastrophe theory
Dementia
Cusp
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ISSN0378-4371
1873-2119
DOI10.1016/j.physa.2016.12.086

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Summary: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. 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. •A thermodynamical model for relating brain networks with energy is proposed.•A Langevin equation is obtained and its Fokker–Planck equation is solved.•The model is successfully compared with the known experimental data.•The cusp model used gives a new probabilistic interpretation to the dementia onset.•Results support known facts of dementia and shed light on issues of related diseases.
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Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.
ISSN:0378-4371
1873-2119
DOI:10.1016/j.physa.2016.12.086