ArticleFrontiers in computational neuroscience2015
Cortical hot spots and labyrinths: why cortical neuromodulation for episodic migraine with aura should be personalized.
Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Visual Disturbances Spectrum in Pediatric Migraine.Journal of clinical medicine · 2023Review
- Study on "Atypical" Migraine Auras in the Pediatric Age: The Role of Cortical Spreading Depression and the Physiopathogenetic Hypothesis Arising from Our Clinical Cases.Life (Basel, Switzerland) · 2022Article
- Parenchymal neuroinflammatory signaling and dural neurogenic inflammation in migraine.The journal of headache and pain · 2021Review
- Aura Mapping: Where Vision and Somatosensation Meet.Vision (Basel, Switzerland) · 2021Article
- Current understanding of cortical structure and function in migraine.Cephalalgia : an international journal of headache · 2019Review
- Geometry Shapes Propagation: Assessing the Presence and Absence of Cortical Symmetries through a Computational Model of Cortical Spreading Depression.Frontiers in computational neuroscience · 2016Article
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Authors and funding
7 authors.
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Abstract
Stimulation protocols for medical devices should be rationally designed. For episodic migraine with aura we outline model-based design strategies toward preventive and acute therapies using stereotactic cortical neuromodulation. To this end, we regard a localized spreading depression (SD) wave segment as a central element in migraine pathophysiology. To describe nucleation and propagation features of the SD wave segment, we define the new concepts of cortical hot spots and labyrinths, respectively. In particular, we firstly focus exclusively on curvature-induced dynamical properties by studying a generic reaction-diffusion model of SD on the folded cortical surface. This surface is described with increasing level of details, including finally personalized simulations using patient's magnetic resonance imaging (MRI) scanner readings. At this stage, the only relevant factor that can modulate nucleation and propagation paths is the Gaussian curvature, which has the advantage of being rather readily accessible by MRI. We conclude with discussing further anatomical factors, such as areal, laminar, and cellular heterogeneity, that in addition to and in relation to Gaussian curvature determine the generalized concept of cortical hot spots and labyrinths as target structures for neuromodulation. Our numerical simulations suggest that these target structures are like fingerprints, they are individual features of each migraine sufferer. The goal in the future will be to provide individualized neural tissue simulations. These simulations should predict the clinical data and therefore can also serve as a test bed for exploring stereotactic cortical neuromodulation.
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