Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference

Vattikonda et al. combine a conceptual mathematical model of seizure generation with personalized information about brain connectivity to tackle the challenge of predictive brain surgery. The validated model was used to successfully determine the outcome of surgery in retrospective patient data for...

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Autores principales:	Anirudh N. Vattikonda, Meysam Hashemi, Viktor Sip, Marmaduke M. Woodman, Fabrice Bartolomei, Viktor K. Jirsa
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/10442188b43a4d09a994b28b4ceaa22e
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spelling	oai:doaj.org-article:10442188b43a4d09a994b28b4ceaa22e2021-11-07T12:20:22ZIdentifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference10.1038/s42003-021-02751-52399-3642https://doaj.org/article/10442188b43a4d09a994b28b4ceaa22e2021-11-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02751-5https://doaj.org/toc/2399-3642Vattikonda et al. combine a conceptual mathematical model of seizure generation with personalized information about brain connectivity to tackle the challenge of predictive brain surgery. The validated model was used to successfully determine the outcome of surgery in retrospective patient data for removal of epileptogenic brain tissue.Anirudh N. VattikondaMeysam HashemiViktor SipMarmaduke M. WoodmanFabrice BartolomeiViktor K. JirsaNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Anirudh N. Vattikonda Meysam Hashemi Viktor Sip Marmaduke M. Woodman Fabrice Bartolomei Viktor K. Jirsa Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
description	Vattikonda et al. combine a conceptual mathematical model of seizure generation with personalized information about brain connectivity to tackle the challenge of predictive brain surgery. The validated model was used to successfully determine the outcome of surgery in retrospective patient data for removal of epileptogenic brain tissue.
format	article
author	Anirudh N. Vattikonda Meysam Hashemi Viktor Sip Marmaduke M. Woodman Fabrice Bartolomei Viktor K. Jirsa
author_facet	Anirudh N. Vattikonda Meysam Hashemi Viktor Sip Marmaduke M. Woodman Fabrice Bartolomei Viktor K. Jirsa
author_sort	Anirudh N. Vattikonda
title	Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
title_short	Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
title_full	Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
title_fullStr	Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
title_full_unstemmed	Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
title_sort	identifying spatio-temporal seizure propagation patterns in epilepsy using bayesian inference
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/10442188b43a4d09a994b28b4ceaa22e
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Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference

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