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Revista chilena de radiología

versión On-line ISSN 0717-9308

Resumen

LAVOZ TORRES, Agustín. Neuroimaging biomarkers for early diagnosis of Alzheimer’s Disease. An approach from neural networks. Rev. chil. radiol. [online]. 2020, vol.26, n.3, pp.105-112. ISSN 0717-9308.  http://dx.doi.org/10.4067/S0717-93082020000300105.

The increased global prevalence and incidence of Alzheimer’s Disease demands the development of early diagnostic methods. This disease is usually diagnosed when the pathology is already advanced and therapeutically, there’s not much to do, leading to a great loss of years of life, high socials and family costs. Considering this pathology as a large-scale disruption of neural networks of the human brain, different studies have proposed biomarkers based on functional magnetic resonance imaging and positron emission tomography. This article systematically reviews these studies considering an approach of neural networks science.

Palabras clave : Alzheimer’s disease; Biomarkers; Neurodegenerative diseases; Functional magnetic resonance imaging; Positron emission tomography.

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