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Graph theoretical measures of fast ripple networks improve the accuracy of post-operative seizure outcome prediction.
Weiss, Shennan A; Fried, Itzhak; Wu, Chengyuan; Sharan, Ashwini; Rubinstein, Daniel; Engel, Jerome; Sperling, Michael R; Staba, Richard J.
Afiliación
  • Weiss SA; Department of Neurology, State University of New York Downstate, Brooklyn, USA. shennanweiss@gmail.com.
  • Fried I; Department of Physiology and Pharmacology, State University of New York Downstate, 450 Clarkson Avenue, MSC 1213, Brooklyn, NY, 11203, USA. shennanweiss@gmail.com.
  • Wu C; Department of Neurology, New York City Health + Hospitals/Kings County, Brooklyn, NY, USA. shennanweiss@gmail.com.
  • Sharan A; Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, USA.
  • Rubinstein D; Department of Neuroradiology, Thomas Jefferson University, Philadelphia, USA.
  • Engel J; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, 19107, USA.
  • Sperling MR; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, 19107, USA.
  • Staba RJ; Department of Neurology and Neuroscience, Thomas Jefferson University, Philadelphia, USA.
Sci Rep ; 13(1): 367, 2023 01 07.
Article en En | MEDLINE | ID: mdl-36611059
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Convulsiones / Márgenes de Escisión Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Convulsiones / Márgenes de Escisión Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article