Peer-Reviewed Publication
J Head Trauma Rehabil2026August 18, 2026Journal Article

Foundation Model Forecasting of Headache Days in People With Persisting Postconcussion Symptoms.

Antonios Danelakis1, Gøril Storvig, Marte Helene Bjørk, Daniela Contreras, Manjit Matharu, Parashkev Nachev, Bendik Slagsvold Winsvold, Erling Tronvik, Anker Stubberud, Alexander Olsen
1Author Affiliations: NorHead Norwegian Centre for Headache Research, NTNU Norwegian University of Science and Technology, Trondheim, Norway (Dr Danelakis, Storvig, Drs Bjørk, Contreras, Matharu, Nachev, Winsvold, Tronvik, Stubberud, and Olsen); Department of Computer Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway (Dr Danelakis); Department of Psychology, NTNU Norwegian University of Science and Technology, Trondheim, Norway (Storvig and Dr Olsen); Department of Clinical Medicine, University of Bergen, Bergen, Norway (Drs Bjørk and Contreras); Department of Neurology, Haukeland University Hospital, Bergen, Norway (Bjørk); High Dimensional Neurology Group, UCL Queen Square Institute of Neurology, University College London, London, UK (Drs Matharu and Nachev); The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK (Dr Matharu); Division of Clinical Neuroscience, Department of Research and Innovation, Oslo University Hospital, Oslo, Norway (Dr Winsvold); Department of Neurology, Oslo University Hospital, Oslo, Norway (Dr Winsvold); HUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway (Dr Winsvold); Department of Neuromedicine and Movement Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway (Storvig, Drs Tronvik, and Stubberud); and Clinic of Rehabilitation, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway (Dr Olsen).

Abstract

OBJECTIVES: We aimed to forecast headache in individuals with persisting postconcussion symptoms using foundation machine learning (ML) models and multimodal longitudinal data. METHODS: This was an ML analysis of data from the Digital Solutions for Concussion (DiSCo) study, a research project assessing the usability and feasibility of 2 mobile health apps for individuals with persisting postconcu…

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