Machine learning in the clinical and language characterisation of primary progressive aphasia variants.

Journal: Cortex; a journal devoted to the study of the nervous system and behavior
PMID: 31181419

Abstract

INTRODUCTION: Primary progressive aphasia (PPA) is a clinical syndrome of neurodegenerative origin with 3 main variants: non-fluent, semantic, and logopenic. However, there is some controversy about the existence of additional subtypes. Our aim was to study the language and cognitive features associated with a new proposed classification for PPA.

Authors

  • Jordi A Matias-Guiu
    Department of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain.
  • Josefa Díaz-Álvarez
    Department of Computer Architecture and Communications, Centro Universitario de Mérida, Universidad de Extremadura, Badajoz, Spain.
  • Fernando Cuetos
    Department of Psychology, University of Oviedo, Oviedo, Spain; Department of Psychology, University of Malaga, Málaga, Spain.
  • María Nieves Cabrera-Martín
    Department of Nuclear Medicine, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain.
  • Ignacio Segovia-Ríos
    Department of Computer Architecture and Communications, Centro Universitario de Mérida, Universidad de Extremadura, Badajoz, Spain.
  • Vanesa Pytel
    Department of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain.
  • Teresa Moreno-Ramos
    Department of Neurology, Hospital Clínico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain.
  • José L Carreras
    Department of Nuclear Medicine, Hospital Clínico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain.
  • Jorge Matias-Guiu
    Department of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain.
  • José L Ayala
    Department of Computer Architecture and Automation, Universidad Complutense, Madrid, Spain.

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