Stacked autoencoders as new models for an accurate Alzheimer's disease classification support using resting-state EEG and MRI measurements.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Published Date: Oct 15, 2020

Abstract

OBJECTIVE: This retrospective and exploratory study tested the accuracy of artificial neural networks (ANNs) at detecting Alzheimer's disease patients with dementia (ADD) based on input variables extracted from resting-state electroencephalogram (rsEEG), structural magnetic resonance imaging (sMRI) or both.

Authors

  • Raffaele Ferri
    Units of Psychology I.C. and Unit of Bioinformatics and Statistics, Oasi Research Institute-IRCCS, 94018 Troina, Italy.
  • Claudio Babiloni
  • Vania Karami
    Department of Pharmaceutical Sciences and Health Products, University of Camerino, Camerino, Italy.
  • Antonio Ivano Triggiani
    Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
  • Filippo Carducci
    Department of Physiology and Pharmacology "V. Erspamer", Sapienza University of Rome, Rome, Italy.
  • Giuseppe Noce
    IRCCS SDN, Napoli, Italy.
  • Roberta Lizio
  • Maria T Pascarelli
    Department of Neurology I.C., Oasi Research Institute - IRCCS, Troina, Italy.
  • Andrea Soricelli
    SDN-Istituto di Ricerca Diagnostica e Nucleare, IRCCS, Naples, Italy; and.
  • Francesco Amenta
    Telemedicine and Telepharmacy Centre, University of Camerino, Camerino, Italy Department, International Radiomedical Centre (CIRM), Rome, Italy. francesco.amenta@unicam.it.
  • Alessandro Bozzao
    Department of Neuroscience, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy.
  • Andrea Romano
    Department of Neuroscience, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy.
  • Franco Giubilei
    Department of Neuroscience, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy.
  • Claudio Del Percio
  • Fabrizio Stocchi
    IRCCS San Raffaele Roma, Rome, Italy; San Raffaele Open University, Rome, Italy.
  • Giovanni B Frisoni
    LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro "S. Giovanni di Dio-F.B.F.", Brescia, Italy; Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland.
  • Flavio Nobili
    Department of Neuroscience, Rehabilitation, Opthalmology, Genetics and Maternal and Child Science (DINOGMI), University of Genoa Largo Paolo Daneo 3, 16132 Genoa, Italy.
  • Luca PatanĂ©
    * Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, University of Catania, Viale A. Doria 6, Catania, 95100, Italy.
  • Paolo Arena
    * Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, University of Catania, Viale A. Doria 6, Catania, 95100, Italy.

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