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Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55094, first published .
Two people playing video games with pizza and drinks

Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning: Prospective, Exploratory, Observational Study

Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning: Prospective, Exploratory, Observational Study

Filippo Corponi   1 , MSc, MD ;   Bryan M Li   1, 2 , MSc ;   Gerard Anmella   3, 4, 5, 6 , MD, PhD ;   Clàudia Valenzuela-Pascual   3, 4, 5, 6 , MSc ;   Ariadna Mas   3, 4, 5, 6 , MSc ;   Isabella Pacchiarotti   3, 4, 5, 6 , MD, PhD ;   Marc Valentí   3, 4, 5, 6 , MD, PhD ;   Iria Grande   3, 4, 5, 6 , MD, PhD ;   Antoni Benabarre   3, 4, 5, 6 , MD, PhD ;   Marina Garriga   3, 4, 5, 6 , MD, PhD ;   Eduard Vieta   3, 4, 5, 6 , MD, PhD ;   Allan H Young   7 , MD, PhD ;   Stephen M Lawrie   8 , MD ;   Heather C Whalley   8, 9 , PhD ;   Diego Hidalgo-Mazzei   3, 4, 5, 6, 7 * , MD, PhD ;   Antonio Vergari   1 * , PhD

1 School of Informatics, University of Edinburgh, Edinburgh, United Kingdom

2 The Alan Turing Institute, London, United Kingdom

3 Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic de Barcelona, Barcelona, Spain

4 Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain

5 Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain

6 Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain

7 Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom

8 Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom

9 Generation Scotland, Institute for Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Filippo Corponi, MSc, MD
  • School of Informatics
  • University of Edinburgh
  • Informatics Forum, 10 Crichton St, Newington
  • Edinburgh EH89AB
  • United Kingdom
  • Phone: 44 131-651-5661
  • Email: filippo.corponi@ed.ac.uk