ReviewFrontiers in human neuroscience2023
Application of EEG in migraine.
Review in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 33 citations in OpenAlex.
- EEG Connectivity Signatures in Migraine and Tension-Type Headache: A Multimethod ROI-Based Functional Connectivity and Machine-Learning Analysis.Journal of clinical medicine · 2026Article
- Exploring vestibulocerebellum-vestibular nuclei-spinal trigeminal nucleus causals communication and TRPV2 ion channel in a mouse model of vestibular migraine.The journal of headache and pain · 2025Article
- Evaluating Brain Activity in Patients With Chronic Disorders of Consciousness After Traumatic Brain Injury Using EEG Microstate Analysis During Hyperbaric Oxygen Therapy.CNS neuroscience & therapeutics · 2025Article
- Electroencephalographic signatures of migraine in small prospective and large retrospective cohorts.Scientific reports · 2024Article
- A novel approach for migraine detection using localized component filtering and electroencephalographic spectral asymmetry index.Current journal of neurology · 2024Article
- A pilot study on a patient with refractory headache: Personalized deep brain stimulation through stereoelectroencephalography.iScience · 2024Article
- From bench to bedside: Overview of magnetoencephalography in basic principle, signal processing, source localization and clinical applications.NeuroImage. Clinical · 2024Review
- Migraine and Epilepsy in Children: A Narrative Review of Comorbidity and Similar Treatment Option.Iranian journal of child neurology · 2024Review
- Quantitative electroencephalography as a potential biomarker in migraine.Brain and behavior · 2023Article
- A New Hybrid Approach Based on Time Frequency Images and Deep Learning Methods for Diagnosis of Migraine Disease and Investigation of Stimulus Effect.Diagnostics (Basel, Switzerland) · 2023Article
- EEG microstate responses of migraine patients to transcutaneous electrical nerve stimulation.Frontiers in neurologyArticle
- Response to "More Evidence is Needed Before Recommending Magic Mushrooms for the Treatment of Complicated Migraines".Innovations in clinical neuroscienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Migraine is a common disease of the nervous system that seriously affects the quality of life of patients and constitutes a growing global health crisis. However, many limitations and challenges exist in migraine research, including the unclear etiology and the lack of specific biomarkers for diagnosis and treatment. Electroencephalography (EEG) is a neurophysiological technique for measuring brain activity. With the updating of data processing and analysis methods in recent years, EEG offers the possibility to explore altered brain functional patterns and brain network characteristics of migraines in depth. In this paper, we provide an overview of the methodology that can be applied to EEG data processing and analysis and a narrative review of EEG-based migraine-related research. To better understand the neural changes of migraine or to provide a new idea for the clinical diagnosis and treatment of migraine in the future, we discussed the study of EEG and evoked potential in migraine, compared the relevant research methods, and put forwards suggestions for future migraine EEG studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.