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Linking a genetic defect in migraine to spreading depression in a computational model
Familial hemiplegic migraine (FHM) is a rare subtype of migraine with aura. A mutation causing FHM type 3 (FHM3) has been identified in SCN1A encoding the Nav1.1 Na(+) channel. This genetic defect affects the inactivation gate. While the Na(+) tail currents following voltage steps are consistent wit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017887/ https://www.ncbi.nlm.nih.gov/pubmed/24860703 http://dx.doi.org/10.7717/peerj.379 |
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author | Dahlem, Markus A. Schumacher, Julia Hübel, Niklas |
author_facet | Dahlem, Markus A. Schumacher, Julia Hübel, Niklas |
author_sort | Dahlem, Markus A. |
collection | PubMed |
description | Familial hemiplegic migraine (FHM) is a rare subtype of migraine with aura. A mutation causing FHM type 3 (FHM3) has been identified in SCN1A encoding the Nav1.1 Na(+) channel. This genetic defect affects the inactivation gate. While the Na(+) tail currents following voltage steps are consistent with both hyperexcitability and hypoexcitability, in this computational study, we investigate functional consequences beyond these isolated events. Our extended Hodgkin–Huxley framework establishes a connection between genotype and cellular phenotype, i.e., the pathophysiological dynamics that spans over multiple time scales and is relevant to migraine with aura. In particular, we investigate the dynamical repertoire from normal spiking (milliseconds) to spreading depression and anoxic depolarization (tens of seconds) and show that FHM3 mutations render gray matter tissue more vulnerable to spreading depression despite opposing effects associated with action potential generation. We conclude that the classification in terms of hypoexcitability vs. hyperexcitability is too simple a scheme. Our mathematical analysis provides further basic insight into also previously discussed criticisms against this scheme based on psychophysical and clinical data. |
format | Online Article Text |
id | pubmed-4017887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-40178872014-05-23 Linking a genetic defect in migraine to spreading depression in a computational model Dahlem, Markus A. Schumacher, Julia Hübel, Niklas PeerJ Computational Biology Familial hemiplegic migraine (FHM) is a rare subtype of migraine with aura. A mutation causing FHM type 3 (FHM3) has been identified in SCN1A encoding the Nav1.1 Na(+) channel. This genetic defect affects the inactivation gate. While the Na(+) tail currents following voltage steps are consistent with both hyperexcitability and hypoexcitability, in this computational study, we investigate functional consequences beyond these isolated events. Our extended Hodgkin–Huxley framework establishes a connection between genotype and cellular phenotype, i.e., the pathophysiological dynamics that spans over multiple time scales and is relevant to migraine with aura. In particular, we investigate the dynamical repertoire from normal spiking (milliseconds) to spreading depression and anoxic depolarization (tens of seconds) and show that FHM3 mutations render gray matter tissue more vulnerable to spreading depression despite opposing effects associated with action potential generation. We conclude that the classification in terms of hypoexcitability vs. hyperexcitability is too simple a scheme. Our mathematical analysis provides further basic insight into also previously discussed criticisms against this scheme based on psychophysical and clinical data. PeerJ Inc. 2014-05-08 /pmc/articles/PMC4017887/ /pubmed/24860703 http://dx.doi.org/10.7717/peerj.379 Text en © 2014 Dahlem et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Computational Biology Dahlem, Markus A. Schumacher, Julia Hübel, Niklas Linking a genetic defect in migraine to spreading depression in a computational model |
title | Linking a genetic defect in migraine to spreading depression in a computational model |
title_full | Linking a genetic defect in migraine to spreading depression in a computational model |
title_fullStr | Linking a genetic defect in migraine to spreading depression in a computational model |
title_full_unstemmed | Linking a genetic defect in migraine to spreading depression in a computational model |
title_short | Linking a genetic defect in migraine to spreading depression in a computational model |
title_sort | linking a genetic defect in migraine to spreading depression in a computational model |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017887/ https://www.ncbi.nlm.nih.gov/pubmed/24860703 http://dx.doi.org/10.7717/peerj.379 |
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