Patient‐specific computational modeling of cortical spreading depression via diffusion tensor imaging

Cortical spreading depression, a depolarization wave originating in the visual cortex and traveling towards the frontal lobe, is commonly accepted as a correlate of migraine visual aura. As of today, little is known about the mechanisms that can trigger or stop such phenomenon. However, the complex...

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Vydáno v:	International journal for numerical methods in biomedical engineering Ročník 33; číslo 11
Hlavní autoři:	Kroos, Julia M., Marinelli, Isabella, Diez, Ibai, Cortes, Jesus M., Stramaglia, Sebastiano, Gerardo‐Giorda, Luca
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Wiley Subscription Services, Inc 01.11.2017
Témata:	Brain Computation Computational neuroscience Conduction Cortical Spreading Depression Depolarization Diffusion Diffusion Tensor Imaging finite element simulation Frontal lobe Headache Humans Magnetic resonance imaging Migraine Neuroimaging Patient-Specific Modeling patient‐specific cortical geometry Potassium reaction‐diffusion systems Spreading Substantia grisea Tensors Visual cortex Visual Cortex - diagnostic imaging Visual Cortex - physiology diffusion tensor imaging finite element simulation cortical spreading depression patient-specific cortical geometry reaction-diffusion systems
ISSN:	2040-7939, 2040-7947, 2040-7947
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Abstract	Cortical spreading depression, a depolarization wave originating in the visual cortex and traveling towards the frontal lobe, is commonly accepted as a correlate of migraine visual aura. As of today, little is known about the mechanisms that can trigger or stop such phenomenon. However, the complex and highly individual characteristics of the brain cortex suggest that the geometry might have a significant impact in supporting or contrasting the propagation of cortical spreading depression. Accurate patient‐specific computational models are fundamental to cope with the high variability in cortical geometries among individuals, but also with the conduction anisotropy induced in a given cortex by the complex neuronal organisation in the grey matter. In this paper, we integrate a distributed model for extracellular potassium concentration with patient‐specific diffusivity tensors derived locally from diffusion tensor imaging data. Cortical spreading depression, a depolarisation wave propagating from the visual cortex to the frontal lobe, is commonly accepted as a correlate of migraine aura. Although CSD is not fully understood yet, the highly individual geometry of the cortex is expected to have an impact on its propagation. We introduce a patient‐specific model that combines individual geometries, obtained from MRI imaging, with personalized coefficients, derived from diffusion tensor imaging to account for the anisotropy of the cortical tissue.
AbstractList	Cortical spreading depression, a depolarization wave originating in the visual cortex and traveling towards the frontal lobe, is commonly accepted as a correlate of migraine visual aura. As of today, little is known about the mechanisms that can trigger or stop such phenomenon. However, the complex and highly individual characteristics of the brain cortex suggest that the geometry might have a significant impact in supporting or contrasting the propagation of cortical spreading depression. Accurate patient-specific computational models are fundamental to cope with the high variability in cortical geometries among individuals, but also with the conduction anisotropy induced in a given cortex by the complex neuronal organisation in the grey matter. In this paper, we integrate a distributed model for extracellular potassium concentration with patient-specific diffusivity tensors derived locally from diffusion tensor imaging data.Cortical spreading depression, a depolarization wave originating in the visual cortex and traveling towards the frontal lobe, is commonly accepted as a correlate of migraine visual aura. As of today, little is known about the mechanisms that can trigger or stop such phenomenon. However, the complex and highly individual characteristics of the brain cortex suggest that the geometry might have a significant impact in supporting or contrasting the propagation of cortical spreading depression. Accurate patient-specific computational models are fundamental to cope with the high variability in cortical geometries among individuals, but also with the conduction anisotropy induced in a given cortex by the complex neuronal organisation in the grey matter. In this paper, we integrate a distributed model for extracellular potassium concentration with patient-specific diffusivity tensors derived locally from diffusion tensor imaging data. Cortical spreading depression, a depolarization wave originating in the visual cortex and traveling towards the frontal lobe, is commonly accepted as a correlate of migraine visual aura. As of today, little is known about the mechanisms that can trigger or stop such phenomenon. However, the complex and highly individual characteristics of the brain cortex suggest that the geometry might have a significant impact in supporting or contrasting the propagation of cortical spreading depression. Accurate patient-specific computational models are fundamental to cope with the high variability in cortical geometries among individuals, but also with the conduction anisotropy induced in a given cortex by the complex neuronal organisation in the grey matter. In this paper, we integrate a distributed model for extracellular potassium concentration with patient-specific diffusivity tensors derived locally from diffusion tensor imaging data. Cortical spreading depression, a depolarization wave originating in the visual cortex and traveling towards the frontal lobe, is commonly accepted as a correlate of migraine visual aura. As of today, little is known about the mechanisms that can trigger or stop such phenomenon. However, the complex and highly individual characteristics of the brain cortex suggest that the geometry might have a significant impact in supporting or contrasting the propagation of cortical spreading depression. Accurate patient‐specific computational models are fundamental to cope with the high variability in cortical geometries among individuals, but also with the conduction anisotropy induced in a given cortex by the complex neuronal organisation in the grey matter. In this paper, we integrate a distributed model for extracellular potassium concentration with patient‐specific diffusivity tensors derived locally from diffusion tensor imaging data. Cortical spreading depression, a depolarisation wave propagating from the visual cortex to the frontal lobe, is commonly accepted as a correlate of migraine aura. Although CSD is not fully understood yet, the highly individual geometry of the cortex is expected to have an impact on its propagation. We introduce a patient‐specific model that combines individual geometries, obtained from MRI imaging, with personalized coefficients, derived from diffusion tensor imaging to account for the anisotropy of the cortical tissue.
Author	Diez, Ibai Stramaglia, Sebastiano Cortes, Jesus M. Kroos, Julia M. Gerardo‐Giorda, Luca Marinelli, Isabella
Author_xml	– sequence: 1 givenname: Julia M. orcidid: 0000-0002-7067-5623 surname: Kroos fullname: Kroos, Julia M. email: jkroos@bcamath.org organization: Basque Center for Applied Mathematics – sequence: 2 givenname: Isabella surname: Marinelli fullname: Marinelli, Isabella organization: Basque Center for Applied Mathematics – sequence: 3 givenname: Ibai surname: Diez fullname: Diez, Ibai organization: Cruces University Hospital – sequence: 4 givenname: Jesus M. surname: Cortes fullname: Cortes, Jesus M. organization: University of the Basque Country (UPV/EHU) – sequence: 5 givenname: Sebastiano surname: Stramaglia fullname: Stramaglia, Sebastiano organization: INFN – sequence: 6 givenname: Luca surname: Gerardo‐Giorda fullname: Gerardo‐Giorda, Luca organization: Basque Center for Applied Mathematics
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Cites_doi	10.1016/j.jelectrocard.2008.12.003 10.3389/fnins.2013.00031 10.1007/978-88-470-1935-5_12 10.1016/0010-4825(95)00051-8 10.1093/europace/euu257 10.1007/978-3-642-86210-6 10.3389/fncom.2015.00029 10.1016/j.neuroimage.2012.01.021 10.1109/TBME.2011.2160347 10.3389/fncom.2016.00006 10.1073/pnas.171473898 10.1038/nrneurol.2014.14 10.1515/revneuro-2014-0069 10.3389/fpsyg.2015.01024 10.1076/noph.28.2.101.23739 10.1016/j.media.2011.07.003 10.1097/00004647-199904000-00004 10.1137/1.9780898718003 10.1007/s00482-008-0653-9 10.1016/S0006-3495(61)86902-6 10.1111/j.1749-6632.1999.tb07965.x 10.1002/jmri.1076 10.1038/nrn3770 10.1002/cnm.1443 10.1209/0295-5075/111/68007 10.1002/mrm.20279 10.1118/1.4926428 10.1109/10.310090 10.1063/1.4821955 10.1016/j.physd.2015.06.008 10.1002/cmr.a.20049 10.1186/2190-8567-3-7 10.1016/j.compbiomed.2007.01.004 10.1038/srep10532 10.1007/s10827-011-0358-4 10.1016/j.pbiomolbio.2014.08.009 10.1007/s10827-008-0132-4 10.1016/j.pbiomolbio.2011.06.014 10.1016/S0006-3495(78)85447-2 10.1109/TBME.2008.923159 10.1007/978-3-540-85268-1 10.1152/physrev.2001.81.3.1065
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Keywords	diffusion tensor imaging finite element simulation cortical spreading depression patient-specific cortical geometry reaction-diffusion systems
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Snippet	Cortical spreading depression, a depolarization wave originating in the visual cortex and traveling towards the frontal lobe, is commonly accepted as a...
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SubjectTerms	Brain Computation Computational neuroscience Conduction Cortical Spreading Depression Depolarization Diffusion Diffusion Tensor Imaging finite element simulation Frontal lobe Headache Humans Magnetic resonance imaging Migraine Neuroimaging Patient-Specific Modeling patient‐specific cortical geometry Potassium reaction‐diffusion systems Spreading Substantia grisea Tensors Visual cortex Visual Cortex - diagnostic imaging Visual Cortex - physiology
Title	Patient‐specific computational modeling of cortical spreading depression via diffusion tensor imaging
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