A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders

© 2017, The Author(s). 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...

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Main Authors: Marschik, P., Pokorny, F., Peharz, R., Zhang, D., O Muircheartaigh, J., Roeyers, H., Bolte, Sven, Spittle, A., Urlesberger, B., Schuller, B., Poustka, L., Ozonoff, S., Pernkopf, F., Pock, T., Tammimies, K., Enzinger, C., Krieber, M., Tomantschger, I., Bartl-Pokorny, K., Sigafoos, J., Roche, L., Esposito, G., Gugatschka, M., Nielsen-Saines, K., Einspieler, C., Kaufmann, W.
Format: Journal Article
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/63170
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author Marschik, P.
Pokorny, F.
Peharz, R.
Zhang, D.
O Muircheartaigh, J.
Roeyers, H.
Bolte, Sven
Spittle, A.
Urlesberger, B.
Schuller, B.
Poustka, L.
Ozonoff, S.
Pernkopf, F.
Pock, T.
Tammimies, K.
Enzinger, C.
Krieber, M.
Tomantschger, I.
Bartl-Pokorny, K.
Sigafoos, J.
Roche, L.
Esposito, G.
Gugatschka, M.
Nielsen-Saines, K.
Einspieler, C.
Kaufmann, W.
author_facet Marschik, P.
Pokorny, F.
Peharz, R.
Zhang, D.
O Muircheartaigh, J.
Roeyers, H.
Bolte, Sven
Spittle, A.
Urlesberger, B.
Schuller, B.
Poustka, L.
Ozonoff, S.
Pernkopf, F.
Pock, T.
Tammimies, K.
Enzinger, C.
Krieber, M.
Tomantschger, I.
Bartl-Pokorny, K.
Sigafoos, J.
Roche, L.
Esposito, G.
Gugatschka, M.
Nielsen-Saines, K.
Einspieler, C.
Kaufmann, W.
author_sort Marschik, P.
building Curtin Institutional Repository
collection Online Access
description © 2017, The Author(s). 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.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-631702018-02-06T06:23:50Z A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders Marschik, P. Pokorny, F. Peharz, R. Zhang, D. O Muircheartaigh, J. Roeyers, H. Bolte, Sven Spittle, A. Urlesberger, B. Schuller, B. Poustka, L. Ozonoff, S. Pernkopf, F. Pock, T. Tammimies, K. Enzinger, C. Krieber, M. Tomantschger, I. Bartl-Pokorny, K. Sigafoos, J. Roche, L. Esposito, G. Gugatschka, M. Nielsen-Saines, K. Einspieler, C. Kaufmann, W. © 2017, The Author(s). 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. 2017 Journal Article http://hdl.handle.net/20.500.11937/63170 10.1007/s11910-017-0748-8 unknown
spellingShingle Marschik, P.
Pokorny, F.
Peharz, R.
Zhang, D.
O Muircheartaigh, J.
Roeyers, H.
Bolte, Sven
Spittle, A.
Urlesberger, B.
Schuller, B.
Poustka, L.
Ozonoff, S.
Pernkopf, F.
Pock, T.
Tammimies, K.
Enzinger, C.
Krieber, M.
Tomantschger, I.
Bartl-Pokorny, K.
Sigafoos, J.
Roche, L.
Esposito, G.
Gugatschka, M.
Nielsen-Saines, K.
Einspieler, C.
Kaufmann, W.
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
url http://hdl.handle.net/20.500.11937/63170