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AI Advancements in Headache Research: Navigating the Digital Frontier

Edited by:
Gianluca Coppola, MD, PhD, Sapienza University of Rome, Italy
Igor Petrušić, MD, PhD, University of Belgrade, Serbia

Submission Status: Open   |   Submission Deadline: 9 March 2025

The Journal of Headache and Pain is calling for submissions to our Collection on AI Advancements in Headache Research: Navigating the Digital Frontier. Explore how cutting-edge AI technologies are transforming migraine research, uncovering intricate neurological insights and personalized treatment approaches.

Image credits: reineg /

Meet the Guest Editors

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Gianluca Coppola, MD, PhD, Sapienza University of Rome, Italy

Gianluca Coppola, MD, PhD, is a clinical neurologist at Sapienza University of Rome Polo Pontino ICOT. He is a trustee for the International Headache Society and an active member of the Italian Societies for the Study of Headache, of Clinical Neurophysiology, of Neurology, and of Psychophysiology and Cognitive Neurosciences. His research interests include the use of electrophysiology and neuroimaging techniques to understand primary headaches pathophysiology, and to study visual, somatosensory, and motor systems synaptic plasticity mechanisms.

Igor Petrušić, MD PhD, University of Belgrade, Serbia

Igor Petrušić MD, PhD, (radiologist, pain medicine specialist trainee, and clinical neuroscientist) is a senior research associate at the Laboratory for advanced analysis of neuroimages, Faculty of Physical Chemistry, University of Belgrade, Serbia. He has a great interest in developing electrophysiological and neuroimaging protocols in migraine with aura research, primarily focused on discovering biomarkers for different levels of migraine aura complexity. He also aims to incorporate a multidisciplinary approach in headache research to boost advancements in the diagnosis and prediction of treatment outcomes.

About the Collection

The Collection entitled "AI Advancements in Headache Research: Navigating the Digital Frontier” delves into the intersection of machine learning technologies and migraine research, aiming to elucidate the intricate neurological aspects of migraine disorders. This Collection focuses on how advanced machine learning algorithms and computational techniques, as well as digital twin’s solutions, are being applied to analyze vast clinical, neurophysiological, and neuroimaging datasets, uncover patterns, and discern nuanced relationships within the complex landscape of migraine-related phenomena.

Researchers leverage machine learning to sift through diverse factors influencing migraines, such as genetic predispositions, environmental triggers, and individualized symptomatology. The Collection explores the transformative potential of machine learning in deciphering the multifaceted nature of migraines, shedding light on elusive patterns that traditional research methods might overlook.

Moreover, the Collection would like to emphasize the role of machine learning models in enhancing diagnostic accuracy, predicting migraine occurrences, and personalizing treatment approaches. By unravelling the neurological intricacies of migraines through innovative computational methods, this thematic Collection aims to underscore the promising advancements that machine learning brings to the forefront of migraine studies, providing a deeper understanding of these disorders and paving the way for more effective interventions.

Nevertheless, this Collection is open to discussing the possible ethical implications of a diagnostic-therapeutic approach based solely or partly on artificial intelligence results. The goal is to effectively and ethically improve the diagnostic quality and therapeutic approach to treating primary headaches.

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of  original research and review papers. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. 

Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “AI Advancements in Headache Research: Navigating the Digital Frontier" under the “Details” tab during the submission stage.

Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.