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Neonatal multi-modal cortical profiles predict 18-month developmental outcomes.
Fenchel, Daphna; Dimitrova, Ralica; Robinson, Emma C; Batalle, Dafnis; Chew, Andrew; Falconer, Shona; Kyriakopoulou, Vanessa; Nosarti, Chiara; Hutter, Jana; Christiaens, Daan; Pietsch, Maximilian; Brandon, Jakki; Hughes, Emer J; Allsop, Joanna; O'Keeffe, Camilla; Price, Anthony N; Cordero-Grande, Lucilio; Schuh, Andreas; Makropoulos, Antonios; Passerat-Palmbach, Jonathan; Bozek, Jelena; Rueckert, Daniel; Hajnal, Joseph V; McAlonan, Grainne; Edwards, A David; O'Muircheartaigh, Jonathan.
Afiliación
  • Fenchel D; MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, UK; Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK.
  • Dimitrova R; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Robinson EC; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.
  • Batalle D; Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Bi
  • Chew A; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Falconer S; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Kyriakopoulou V; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Nosarti C; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK; Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College Lond
  • Hutter J; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Christiaens D; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK; Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium.
  • Pietsch M; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Brandon J; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Hughes EJ; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Allsop J; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • O'Keeffe C; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Price AN; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • Cordero-Grande L; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK; Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain.
  • Schuh A; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London SW7 2AZ, UK.
  • Makropoulos A; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London SW7 2AZ, UK.
  • Passerat-Palmbach J; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London SW7 2AZ, UK.
  • Bozek J; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia.
  • Rueckert D; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London SW7 2AZ, UK; Institute für Artificial Intelligence and Informatics in Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
  • Hajnal JV; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • McAlonan G; MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, UK; Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK; Sou
  • Edwards AD; MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, UK; Centre for the Developing Brain, Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH UK.
  • O'Muircheartaigh J; MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, UK; Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK; Cen
Dev Cogn Neurosci ; 54: 101103, 2022 04.
Article en En | MEDLINE | ID: mdl-35364447
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Conectoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans / Infant / Newborn Idioma: En Revista: Dev Cogn Neurosci Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Conectoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans / Infant / Newborn Idioma: En Revista: Dev Cogn Neurosci Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido