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A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders.
Marschik, Peter B; Pokorny, Florian B; Peharz, Robert; Zhang, Dajie; O'Muircheartaigh, Jonathan; Roeyers, Herbert; Bölte, Sven; Spittle, Alicia J; Urlesberger, Berndt; Schuller, Björn; Poustka, Luise; Ozonoff, Sally; Pernkopf, Franz; Pock, Thomas; Tammimies, Kristiina; Enzinger, Christian; Krieber, Magdalena; Tomantschger, Iris; Bartl-Pokorny, Katrin D; Sigafoos, Jeff; Roche, Laura; Esposito, Gianluca; Gugatschka, Markus; Nielsen-Saines, Karin; Einspieler, Christa; Kaufmann, Walter E.
Afiliación
  • Marschik PB; Research Unit iDN-interdisciplinary Developmental Neuroscience, Institute of Physiology, Center for Physiological Medicine, Medical University of Graz, Harrachgasse 21/5, 8010, Graz, Austria. peter.marschik@medunigraz.at.
  • Pokorny FB; Center of Neurodevelopmental Disorders (KIND), Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden. peter.marschik@medunigraz.at.
  • Peharz R; BEE-PRI: Brain, Ears & Eyes-Pattern Recognition Initiative, BioTechMed-Graz, Graz, Austria. peter.marschik@medunigraz.at.
  • Zhang D; Research Unit iDN-interdisciplinary Developmental Neuroscience, Institute of Physiology, Center for Physiological Medicine, Medical University of Graz, Harrachgasse 21/5, 8010, Graz, Austria.
  • O'Muircheartaigh J; BEE-PRI: Brain, Ears & Eyes-Pattern Recognition Initiative, BioTechMed-Graz, Graz, Austria.
  • Roeyers H; Machine Intelligence & Signal Processing group, MMK, Technische Universität München, Munich, Germany.
  • Bölte S; Research Unit iDN-interdisciplinary Developmental Neuroscience, Institute of Physiology, Center for Physiological Medicine, Medical University of Graz, Harrachgasse 21/5, 8010, Graz, Austria.
  • Spittle AJ; BEE-PRI: Brain, Ears & Eyes-Pattern Recognition Initiative, BioTechMed-Graz, Graz, Austria.
  • Urlesberger B; Research Unit iDN-interdisciplinary Developmental Neuroscience, Institute of Physiology, Center for Physiological Medicine, Medical University of Graz, Harrachgasse 21/5, 8010, Graz, Austria.
  • Schuller B; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Poustka L; Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, St. Thomas' Hospital, King's College London, London, UK.
  • Ozonoff S; Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium.
  • Pernkopf F; Center of Neurodevelopmental Disorders (KIND), Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
  • Pock T; Child and Adolescent Psychiatry, Center of Psychiatry Research, Stockholm County Council, Stockholm, Sweden.
  • Tammimies K; University of Melbourne, Melbourne, Australia.
  • Enzinger C; Murdoch Childrens Research Institute, Melbourne, Australia.
  • Krieber M; The Royal Women's Hospital, Melbourne, Australia.
  • Tomantschger I; Division of Neonatology, Department of Pediatrics and Adolescence Medicine, Medical University of Graz, Graz, Austria.
  • Bartl-Pokorny KD; Chair of Complex and Intelligent Systems, University of Passau, Passau, Germany.
  • Sigafoos J; Machine Learning Group, Imperial College London, London, UK.
  • Roche L; Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria.
  • Esposito G; MIND Institute, Davis Health System, University of California, Sacramento, CA, USA.
  • Gugatschka M; Signal Processing and Speech Communication Laboratory, Graz University of Technology, Graz, Austria.
  • Nielsen-Saines K; Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria.
  • Einspieler C; Center of Neurodevelopmental Disorders (KIND), Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
  • Kaufmann WE; Child and Adolescent Psychiatry, Center of Psychiatry Research, Stockholm County Council, Stockholm, Sweden.
Curr Neurol Neurosci Rep ; 17(5): 43, 2017 May.
Article en En | MEDLINE | ID: mdl-28390033
ABSTRACT
PURPOSE OF REVIEW Substantial research exists focusing on the various aspects and domains of early human development. However, there is a clear blind spot in early postnatal development when dealing with neurodevelopmental disorders, especially those that manifest themselves clinically only in late infancy or even in childhood. RECENT

FINDINGS:

This early developmental period may represent an important timeframe to study these disorders but has historically received far less research attention. We believe that only a comprehensive interdisciplinary approach will enable us to detect and delineate specific parameters for specific neurodevelopmental disorders at a very early age to improve early detection/diagnosis, enable prospective studies and eventually facilitate randomised trials of early intervention. In this article, we propose a dynamic framework for characterising neurofunctional biomarkers associated with specific disorders in the development of infants and children. We have named this automated detection 'Fingerprint Model', suggesting one possible approach to accurately and early identify neurodevelopmental disorders.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biomarcadores / Diagnóstico Precoz / Trastornos del Neurodesarrollo Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Curr Neurol Neurosci Rep Asunto de la revista: NEUROLOGIA Año: 2017 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biomarcadores / Diagnóstico Precoz / Trastornos del Neurodesarrollo Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Curr Neurol Neurosci Rep Asunto de la revista: NEUROLOGIA Año: 2017 Tipo del documento: Article País de afiliación: Austria