Natural language processing-based classification of early Alzheimer's disease from connected speech.

Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
PMID: 39868827

Abstract

INTRODUCTION: The automated analysis of connected speech using natural language processing (NLP) emerges as a possible biomarker for Alzheimer's disease (AD). However, it remains unclear which types of connected speech are most sensitive and specific for the detection of AD.

Authors

  • Helena Balabin
    Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53757 Sankt Augustin, Germany.
  • Bastiaan Tamm
    Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
  • Laure Spruyt
    Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
  • Nathalie Dusart
    Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
  • Ines Kabouche
    Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
  • Ella Eycken
    Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
  • Kevin Statz
    Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
  • Steffi De Meyer
    Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
  • Hugo Van Hamme
  • Patrick Dupont
    Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
  • Marie-Francine Moens
  • Rik Vandenberghe
    Department of Neurology, University Hospitals Leuven, Leuven, Belgium.

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