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Cortical spreading depression and central pain networks in trigeminal nuclei modulation: time for an integrated migraine pathogenesis perspective

Overview of attention for article published in Neurological Sciences, May 2013
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Title
Cortical spreading depression and central pain networks in trigeminal nuclei modulation: time for an integrated migraine pathogenesis perspective
Published in
Neurological Sciences, May 2013
DOI 10.1007/s10072-013-1392-y
Pubmed ID
Authors

R. De Simone, A. Ranieri, S. Montella, V. Bonavita

Abstract

The role of the cortical spreading depression (CSD)-dependent trigeminovascular activation in migraine etiopathogenesis, long considered paradigmatic, has remained substantially unproven in humans. The parallel advancement of functional neuroimaging techniques promoted the extensive exploration of the brain networks involved in pain processing in search of a possible central migraine generator. However, despite initial enthusiasms, it has not been possible to clarify whether the functional central "markers" of pain observed in primary headaches could be considered as causative or just the neural correlates of the ongoing pain. Nonetheless, our knowledge on the complex interactions between CSD, neurogenic inflammation, peripheral trigeminovascular input, central cortico-trigeminal nuclei direct modulation and pain processing and limbic system networks has enormously grown, allowing the reconceptualisation of migraine from a neurovascular to a pure neurolimbic pain disorder, therefore relocating it in the much broader frame of the brain and whole organism homeostatic control. In this work, the available evidences currently supporting the relevance of CSD, of peripheral trigeminovascular input and of direct cortico-trigeminal nuclei modulation in migraine pathogenesis are reviewed in the light of a possible integrated migraine etiopathogenetic perspective.

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Geographical breakdown

Country Count As %
United States 2 5%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Student > Bachelor 7 16%
Student > Master 6 14%
Student > Doctoral Student 4 9%
Researcher 4 9%
Other 10 23%
Unknown 3 7%
Readers by discipline Count As %
Medicine and Dentistry 12 28%
Neuroscience 9 21%
Psychology 8 19%
Agricultural and Biological Sciences 3 7%
Nursing and Health Professions 2 5%
Other 5 12%
Unknown 4 9%