Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.

Journal: Journal of Alzheimer's disease : JAD
Published Date: Jan 1, 2015

Abstract

BACKGROUND: Neuroimaging techniques combined with computational neuroanatomy have been playing a role in the investigation of healthy aging and Alzheimer's disease (AD). The definition of normative rules for brain features is a crucial step to establish typical and atypical aging trajectories.

Authors

  • Ailton Andrade de Oliveira
    Center of Mathematics, Computation and Cognition, Universidade Federal do ABC, Santo André, Brazil.
  • Maria Teresa Carthery-Goulart
    Center of Mathematics, Computation and Cognition, Universidade Federal do ABC, Santo André, Brazil.
  • Pedro Paulo de Magalhães Oliveira Júnior
    NIF-LIM44, Department of Radiology, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
  • Daniel Carneiro Carrettiero
    Center of Natural and Human Sciences, Universidade Federal do ABC, Santo André, Brazil.
  • João Ricardo Sato
    Center of Mathematics, Computing and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil; Graduate Program in Neuroscience and Cognition, Federal University of ABC, Santo André, Brazil. Electronic address: joao.sato@ufabc.edu.br.

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