Neuroimaging and machine learning in eating disorders: a systematic review.

Journal: Eating and weight disorders : EWD
Published Date:

Abstract

PURPOSE: Eating disorders (EDs), including anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED), are complex psychiatric conditions with high morbidity and mortality. Neuroimaging and machine learning (ML) represent promising approaches to improve diagnosis, understand pathophysiological mechanisms, and predict treatment response. This systematic review aimed to evaluate the application of ML techniques to neuroimaging data in EDs.

Authors

  • Francesco Monaco
    Department of Mental Health, Salerno, Italy.
  • Annarita Vignapiano
    Department of Mental Health, Salerno, Italy.
  • Benedetta Di Gruttola
    Department of Mental Health, Azienda Sanitaria Locale Salerno, Salerno, Italy.
  • Stefania Landi
    Department of Mental Health, Azienda Sanitaria Locale Salerno, Salerno, Italy.
  • Ernesta Panarello
    Department of Mental Health, Azienda Sanitaria Locale Salerno, Salerno, Italy.
  • Raffaele Malvone
    Department of Mental Health, Azienda Sanitaria Locale Salerno, Salerno, Italy.
  • Stefania Palermo
    Department of Mental Health, Azienda Sanitaria Locale Salerno, Salerno, Italy.
  • Alessandra Marenna
    European Biomedical Research Institute of Salerno (EBRIS), Salerno, Italy.
  • Enrico Collantoni
    Psychiatric Clinic, Department of Neurosciences, University of Padova, Via Giustiniani 3, 35128 Padova, Italy.
  • Giovanna Celia
    University Telematica Pegaso, Naples, Italy.
  • Valeria Di Stefano
    University "Magna Graecia" of Catanzaro, Catanzaro, Italy.
  • Paolo Meneguzzo
    University of Padova, Padua, Italy.
  • Martina D'Angelo
    University "Magna Graecia" of Catanzaro, Catanzaro, Italy.
  • Giulio Corrivetti
    Department of Mental Health, Salerno, Italy.
  • Luca Steardo
    Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy.