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A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384955/ https://www.ncbi.nlm.nih.gov/pubmed/28390033 http://dx.doi.org/10.1007/s11910-017-0748-8 |
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author | 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. |
author_facet | 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. |
author_sort | Marschik, Peter B . |
collection | PubMed |
description | 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. SUMMARY: 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. |
format | Online Article Text |
id | pubmed-5384955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-53849552017-04-25 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. Curr Neurol Neurosci Rep Pediatric Neurology (WE Kaufmann, Section Editor) 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. SUMMARY: 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. Springer US 2017-04-08 2017 /pmc/articles/PMC5384955/ /pubmed/28390033 http://dx.doi.org/10.1007/s11910-017-0748-8 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Pediatric Neurology (WE Kaufmann, Section Editor) 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. A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders |
title | A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders |
title_full | A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders |
title_fullStr | A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders |
title_full_unstemmed | A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders |
title_short | A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders |
title_sort | novel way to measure and predict development: a heuristic approach to facilitate the early detection of neurodevelopmental disorders |
topic | Pediatric Neurology (WE Kaufmann, Section Editor) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384955/ https://www.ncbi.nlm.nih.gov/pubmed/28390033 http://dx.doi.org/10.1007/s11910-017-0748-8 |
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