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Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.
Warsi, Nebras M; Wong, Simeon M; Germann, Jürgen; Boutet, Alexandre; Arski, Olivia N; Anderson, Ryan; Erdman, Lauren; Yan, Han; Suresh, Hrishikesh; Gouveia, Flavia Venetucci; Loh, Aaron; Elias, Gavin J B; Kerr, Elizabeth; Smith, Mary Lou; Ochi, Ayako; Otsubo, Hiroshi; Sharma, Roy; Jain, Puneet; Donner, Elizabeth; Lozano, Andres M; Snead, O Carter; Ibrahim, George M.
Afiliación
  • Warsi NM; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada; Department of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Wong SM; Department of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.
  • Germann J; Division of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
  • Boutet A; Division of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada; Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
  • Arski ON; Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.
  • Anderson R; Maerospace Corporation, Waterloo, Ontario, Canada.
  • Erdman L; Vector Institute for Artificial Intelligence, University Health Network, Toronto, Ontario, Canada.
  • Yan H; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada.
  • Suresh H; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada; Department of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Gouveia FV; Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.
  • Loh A; Division of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada; Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
  • Elias GJB; Division of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada; Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
  • Kerr E; Department of Psychology, The Hospital for Sick Children, University of Toronto, 555 University Ave., Toronto, Ontario, Canada, M5G 1X8.
  • Smith ML; Department of Psychology, The Hospital for Sick Children, University of Toronto, 555 University Ave., Toronto, Ontario, Canada, M5G 1X8.
  • Ochi A; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada.
  • Otsubo H; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada.
  • Sharma R; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada.
  • Jain P; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada.
  • Donner E; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada.
  • Lozano AM; Division of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
  • Snead OC; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada.
  • Ibrahim GM; Division of Neurosurgery, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, Canada; Department of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada. Electronic
Neural Netw ; 167: 827-837, 2023 Oct.
Article en En | MEDLINE | ID: mdl-37741065
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Conectoma / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Conectoma / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article