• Cranial autonomic ganglia in headache disorders 

      Vidal, Joan Crespi (Doctoral theses at NTNU;2021:98, Doctoral thesis, 2021)
      Headache disorders are amongst the most prevalent causes of disability worldwide. Most of the effort to develop new therapeutics has focused on migraine. Patients suffering from less common headache disorders such as ...
    • Epidemiology of diagnosed cluster headache in Norway 

      Vidal, Joan Crespi; Gulati, Sasha; Salvesen, Øyvind; Bratbak, Daniel Fossum; Dodick, David W; Matharu, Manjit Singh; Tronvik, Erling Andreas (Peer reviewed; Journal article, 2022)
      Background: Cluster headache (CH) is one of the most painful conditions in humans and there is limited epidemiological data on this debilitating condition. Objectives: To describe the epidemiology of CH in Norway Methods: We ...
    • Forecasting migraine with machine learning based on mobile phone diary and wearable data 

      Stubberud, Anker; Ingvaldsen, Sigrid Hegna; Brenner, Eiliv; Winnberg, Ingunn Grøntveit; Olsen, Alexander; Gravdahl, Gøril Bruvik; Matharu, Manjit Singh; Nachev, Parashkev; Tronvik, Erling Andreas (Peer reviewed; Journal article, 2023)
      Introduction Triggers, premonitory symptoms and physiological changes occur in the preictal migraine phase and may be used in models for forecasting attacks. Machine learning is a promising option for such predictive ...
    • Machine prescription for chronic migraine 

      Stubberud, Anker; Gray, Robert; Tronvik, Erling Andreas; Matharu, Manjit Singh; Nachev, Parashkev (Peer reviewed; Journal article, 2022)
      Responsive to treatment individually, chronic migraine remains strikingly resistant collectively, incurring the second-highest population burden of disability worldwide. A heterogeneity of responsiveness, requiring ...