Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments.

Journal: Alzheimer disease and associated disorders
Published Date: Jan 1, 2017

Abstract

BACKGROUND: Understanding whether the cognitive profile of a patient indicates mild cognitive impairment (MCI) or performance levels within normality is often a clinical challenge. The use of resting-state functional magnetic resonance imaging (RS-fMRI) and machine learning may represent valid aids in clinical settings for the identification of MCI patients.

Authors

  • Matteo De Marco
    Departments of Neuroscience.
  • Leandro Beltrachini
    Electronic and Electrical Engineering, Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB).
  • Alberto Biancardi
    Cardiovascular Science, University of Sheffield, Sheffield.
  • Alejandro F Frangi
    Information and Communication Technologies Department, Universitat Pompeu Fabra, Barcelona, Spain; Department of Mechanical Engineering, The University of Sheffield, United Kingdom.
  • Annalena Venneri
    Departments of Neuroscience.

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