Functional magnetic resonance imaging of headache: Issues, best‐practices, and new directions, a narrative review

Abstract

AbstractObjectiveTo ensure readers are informed consumers of functional magnetic resonance imaging (fMRI) research in headache, to outline ongoing challenges in this area of research, and to describe potential considerations when asked to collaborate on fMRI research in headache, as well as to suggest future directions for improvement in the field.BackgroundFunctional MRI has played a key role in understanding headache pathophysiology, and mapping networks involved with headache‐related brain activity have the potential to identify intervention targets. Some investigators have also begun to explore its use for diagnosis.Methods/ResultsThe manuscript is a narrative review of the current best practices in fMRI in headache research, including guidelines on transparency and reproducibility. It also contains an outline of the fundamentals of MRI theory, task‐related study design, resting‐state functional connectivity, relevant statistics and power analysis, image preprocessing, and other considerations essential to the field.ConclusionBest practices to increase reproducibility include methods transparency, eliminating error, using a priori hypotheses and power calculations, using standardized instruments and diagnostic criteria, and developing large‐scale, publicly available datasets.