ArticleThe journal of pain2016
Spatial Heterogeneity of Cortical Excitability in Migraine Revealed by Multifrequency Neuromagnetic Signals.
Article in The journal of pain, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00600717 (Localizing Functional Brain Cortices and Epileptogenic Zones With High Frequency Brain Signals), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Localizing Functional Brain Cortices and Epileptogenic Zones With High Frequency Brain Signals
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Magnetoencephalography studies in migraine and headache disorders: A systematic review.Headache · 2025Pooled it
- Altered effective connectivity in migraine patients during emotional stimuli: a multi-frequency magnetoencephalography study.The journal of headache and pain · 2022Article
- Does the migraine attack start in the cortex and is the cortex critical in the migraine process?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019Review
- Abnormality of visual neuromagnetic activation in female migraineurs without aura between attacks.The journal of headache and pain · 2019Article
- IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG).Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
unlabelledTo investigate the spatial heterogeneity of cortical excitability in adolescents with migraine, magnetoencephalography (MEG) recordings at a sampling rate of 6,000 Hz were obtained from 35 adolescents with an acute migraine and 35 age- and sex-matched healthy control participants during an auditory-motor task. Neuromagnetic activation from low- to high-frequency ranges (5-1,000 Hz) was measured at sensor and source levels. The heterogeneity of cortical excitability was quantified within each functional modality (auditory vs motor) and hemispherical lateralization. MEG data showed that high-frequency, not low-frequency neuromagnetic signals, showed heterogeneous cortical activation in migraine subjects compared with control participants (P < .001). The alteration of the heterogeneity of cortical excitability in migraine subjects was independent of age and sex. The degree of the neuromagnetic heterogeneity of cortical activation was significantly correlated with headache frequency (r = .71, P < .005). The alteration of cortical excitability in migraine subjects was spatially heterogeneous and frequency dependent, which previously has not been reported. The finding may be critical for developing spatially targeted therapeutic strategies for normalizing cortical excitability with the purpose of reducing headache attacks. PERSPECTIVE: This article presents a new approach to quantitatively measure the spatial heterogeneity of cortical excitability in adolescents with migraine using MEG signals in a frequency range of 5 to 1,000 Hz. The characteristics of the location and degree of cortical excitability may be critical for spatially targeted treatment for migraine.
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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.