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

Gómez Ramírez, Jaime y 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.

Descripción

Título: Network-based biomarkers in Alzheimer's disease: review and future directions
Autor/es:
  • Gómez Ramírez, Jaime
  • Wu, Jinglong
Tipo de Documento: Artículo
Título de Revista/Publicación: Frontiers in Aging Neuroscience
Fecha: 4 Febrero 2014
Volumen: 6
Materias:
Palabras Clave Informales: Alzheimer’s disease, network degeneration hypothesis, network-based biomarkers, default-mode network DMN, resting-state functional connectivity
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (859kB)

Resumen

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.

Más información

ID de Registro: 29137
Identificador DC: http://oa.upm.es/29137/
Identificador OAI: oai:oa.upm.es:29137
Identificador DOI: 10.3389/fnagi.2014.00012
URL Oficial: http://journal.frontiersin.org/Journal/10.3389/fnagi.2014.00012/abstract
Depositado por: Memoria Investigacion
Depositado el: 20 Ene 2015 15:47
Ultima Modificación: 20 Ene 2015 15:47
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM