C
Cristina Tassorelli
Researcher at University of Pavia
Publications - 406
Citations - 19055
Cristina Tassorelli is an academic researcher from University of Pavia. The author has contributed to research in topics: Migraine & Medicine. The author has an hindex of 50, co-authored 346 publications receiving 15732 citations. Previous affiliations of Cristina Tassorelli include University of Rochester Medical Center & UniFi.
Papers
More filters
Journal ArticleDOI
EUROLIGHT project: impact of primary headache disorders from a population-based study conducted in Pavia
TL;DR: There was a correlation between the monthly headache frequency and anxiety or depression symptoms and in MOH patients the presence of anxiety and depression disorders was indeed very high.
Journal ArticleDOI
A Retrospective Real-Life Multicenter Study on Concurrent Oral Preventive Treatments in Patients with Chronic Migraine Treated with OnabotulinumtoxinA
Lucas Hendrik Overeem,Raffaele Ornello,Maria Pocora,Uwe Reuter,Simona Sacco,Cristina Tassorelli,Aud N. Dueland,Bianca Raffaelli,Daniele Martinelli +8 more
TL;DR: In this article , the authors describe the use of oral preventive treatments in patients with chronic migraine treated with OnabotulinumtoxinA in routine clinical care and discuss the tolerability and efficacy according to the presence or absence of concomitant oral treatments.
Journal ArticleDOI
The cerebral venous system in migraine: the not so innocent bystander?
TL;DR: In this volume of Functional Neurology, Petolicchio et al. (2016) present intriguing data on the higher occurrence of cerebral venous hemodynamic abnormalities in migraineurs than in controls, and the presence of chronic cerebrospinal venous insufficiency emerges as a potential factor for migraine chronification.
Journal ArticleDOI
Assessment and treatment of neurogenic dysphagia in stroke and Parkinson's disease
TL;DR: A comprehensive overview of current evidence on screening, diagnosis, and treatment of neurogenic dysphagia in stroke and Parkinson's disease is provided, suggesting clues for clinical practice.
Journal ArticleDOI
Searching for the Predictors of Response to BoNT-A in Migraine Using Machine Learning Approaches
Daniele Martinelli,Maria Pocora,Roberto De Icco,Marta Allena,G. I. Vaghi,Grazia Sances,Gloria Castellazzi,Cristina Tassorelli +7 more
TL;DR: In this paper , the authors applied machine learning (ML) algorithms to identify clinical characteristics able to predict treatment response in chronic and high-frequency episodic migraines, and found that none of the anamnestic characteristics were able to discriminate responders from nonresponders in the CM group.