Network-based biomarkers in Alzheimer's disease: review and future directions

Gómez Ramírez, Jaime and Wu, Jinglong (2014). Network-based biomarkers in Alzheimer's disease: review and future directions. "Frontiers in Aging Neuroscience", v. 6 (n. 12); pp. 1-9. ISSN 1663-4365. https://doi.org/10.3389/fnagi.2014.00012.

Description

Title: Network-based biomarkers in Alzheimer's disease: review and future directions
Author/s:
  • Gómez Ramírez, Jaime
  • Wu, Jinglong
Item Type: Article
Título de Revista/Publicación: Frontiers in Aging Neuroscience
Date: 4 February 2014
ISSN: 1663-4365
Volume: 6
Subjects:
Freetext Keywords: Alzheimer’s disease, network degeneration hypothesis, network-based biomarkers, default-mode network DMN, resting-state functional connectivity
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

By 2050 it is estimated that the number of worldwide Alzheimer?s disease (AD) patients will quadruple from the current number of 36 million people. To date, no single test, prior to postmortem examination, can confirm that a person suffers from AD. Therefore, there is a strong need for accurate and sensitive tools for the early diagnoses of AD. The complex etiology and multiple pathogenesis of AD call for a system-level understanding of the currently available biomarkers and the study of new biomarkers via network-based modeling of heterogeneous data types. In this review, we summarize recent research on the study of AD as a connectivity syndrome. We argue that a network-based approach in biomarker discovery will provide key insights to fully understand the network degeneration hypothesis (disease starts in specific network areas and progressively spreads to connected areas of the initial loci-networks) with a potential impact for early diagnosis and disease-modifying treatments. We introduce a new framework for the quantitative study of biomarkers that can help shorten the transition between academic research and clinical diagnosis in AD.

More information

Item ID: 29137
DC Identifier: http://oa.upm.es/29137/
OAI Identifier: oai:oa.upm.es:29137
DOI: 10.3389/fnagi.2014.00012
Official URL: http://journal.frontiersin.org/Journal/10.3389/fnagi.2014.00012/abstract
Deposited by: Memoria Investigacion
Deposited on: 20 Jan 2015 15:47
Last Modified: 20 Jan 2015 15:47
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