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Interictal MEG abnormalities to guide intracranial electrode implantation and predict surgical outcome.
Owen, Tom; Janiukstyte, Vytene; Hall, Gerard R; Chowdhury, Fahmida A; Diehl, Beate; McEvoy, Andrew; Miserocchi, Anna; de Tisi, Jane; Duncan, John S; Rugg-Gunn, Fergus; Wang, Yujiang; Taylor, Peter Neal.
Afiliação
  • Owen T; CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Janiukstyte V; CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Hall GR; CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Chowdhury FA; UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, United Kingdom.
  • Diehl B; National Hospital for Neurology & Neurosurgery, Queen Square, London, WC1N 3BG, United Kingdom.
  • McEvoy A; UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, United Kingdom.
  • Miserocchi A; National Hospital for Neurology & Neurosurgery, Queen Square, London, WC1N 3BG, United Kingdom.
  • de Tisi J; UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, United Kingdom.
  • Duncan JS; National Hospital for Neurology & Neurosurgery, Queen Square, London, WC1N 3BG, United Kingdom.
  • Rugg-Gunn F; UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, United Kingdom.
  • Wang Y; National Hospital for Neurology & Neurosurgery, Queen Square, London, WC1N 3BG, United Kingdom.
  • Taylor PN; UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, United Kingdom.
ArXiv ; 2023 Apr 11.
Article em En | MEDLINE | ID: mdl-37090233
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: ArXiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: ArXiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido