Objective:
Abstract:
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.
Keywords: Alzheimer’s disease; Biomarkers; Functional magnetic resonance imaging; Neurodegenerative
diseases; Positron emission tomography
