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Updated: Sep 9, 2025

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3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
Published on: June 2, 2014
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The spectrum of migraine aura: Towards a precise phenotypic classification
Michele Viana1, Mario Fernando Prieto Peres2,3
1Headache Group, Department of Basic and Clinical Neurosciences, King's College London, UK.
Cephalalgia : an International Journal of Headache
|September 2, 2025
Summary
Migraine aura symptoms are highly variable and complex, encompassing visual, sensory, and cognitive disturbances. A detailed aura diary is proposed to systematically classify these diverse migraine aura phenotypes.
Area of Science:
- Neurology
- Clinical Neuroscience
Background:
- Migraine aura presents as transient focal neurological symptoms, including visual, sensory, and dysphasic disturbances.
- The manifestations of migraine aura exhibit significant inter- and intra-individual variability, complicating precise classification.
Purpose of the Study:
- To conduct a narrative review of literature to identify variables contributing to migraine aura classification.
- To propose a systematic method for recording migraine aura features in clinical and research settings.
Main Methods:
- A comprehensive literature review was performed to analyze the spectrum of migraine aura variables.
- A prospective diary model was developed based on the identified aura features for systematic data collection.
Main Results:
- Visual aura symptoms are particularly multifaceted, with numerous described variations in quality, color, intermittence, and spatial characteristics.
- Sensory and dysphasic symptoms are less complex, but symptom combinations and timing relative to headache onset/offset add significant variability.
- Hundreds of potential migraine aura scenarios exist due to the wide range of symptom presentations.
Conclusions:
- Migraine auras display a broad and complex spectrum of symptoms, necessitating detailed recording for accurate phenotypic classification.
- A prospective aura diary is crucial for systematically capturing these variables to advance the precise phenotypic classification of migraine aura.
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