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A novel way to measure and predict development : a heuristic approach to facilitate the early detection of neurodevelopmental disorders

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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. 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.
Keywords
AUTISM SPECTRUM DISORDER, CENTRAL PATTERN GENERATORS, WHITE-MATTER, DEVELOPMENT, CENTRAL-NERVOUS-SYSTEM, RETT-SYNDROME, CEREBRAL-PALSY, HIGH-RISK, GENETIC-DISORDERS, FUTURE-DIRECTIONS, INFANT SIBLINGS, Computer vision, Diagnosis, Early humandevelopment, Intelligent, vocalisation analysis, Multidimensional assessment, Neurodevelopmental, disorders

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MLA
Marschik, Peter B. et al. “A Novel Way to Measure and Predict Development : a Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders.” CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS 17.5 (2017): n. pag. Print.
APA
Marschik, P. B., Pokorny, F. B., Peharz, R., Zhang, D., O’Muircheartaigh, J., Roeyers, H., Bolte, S., et al. (2017). A novel way to measure and predict development : a heuristic approach to facilitate the early detection of neurodevelopmental disorders. CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS, 17(5).
Chicago author-date
Marschik, Peter B., Florian B. Pokorny, Robert Peharz, Dajie Zhang, Jonathan O’Muircheartaigh, Herbert Roeyers, Sven Bolte, et al. 2017. “A Novel Way to Measure and Predict Development : a Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders.” Current Neurology and Neuroscience Reports 17 (5).
Chicago author-date (all authors)
Marschik, Peter B., Florian B. Pokorny, Robert Peharz, Dajie Zhang, Jonathan O’Muircheartaigh, Herbert Roeyers, Sven Bolte, Alicia J. Spittle, Berndt Urlesberger, Bjoern Schuller, Luise Poustka, Sally Ozonoff, Franz Pernkopf, Thomas Pock, Kristiina Tammimies, Christian Enzinger, Magdalena Krieber, Iris Tomantschger, Katrin D. Bartl-Pokorny, Jeff Sigafoos, Laura Roche, Gianluca Esposito, Markus Gugatschka, Karin Nielsen-Saines, Christa Einspieler, and Walter E. Kaufmann. 2017. “A Novel Way to Measure and Predict Development : a Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders.” Current Neurology and Neuroscience Reports 17 (5).
Vancouver
1.
Marschik PB, Pokorny FB, Peharz R, Zhang D, O’Muircheartaigh J, Roeyers H, et al. A novel way to measure and predict development : a heuristic approach to facilitate the early detection of neurodevelopmental disorders. CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS. New york: Springer; 2017;17(5).
IEEE
[1]
P. B. Marschik et al., “A novel way to measure and predict development : a heuristic approach to facilitate the early detection of neurodevelopmental disorders,” CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS, vol. 17, no. 5, 2017.
@article{8547068,
  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. 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.}},
  articleno    = {{43}},
  author       = {{Marschik, Peter B. and Pokorny, Florian B. and Peharz, Robert and Zhang, Dajie and O'Muircheartaigh, Jonathan and Roeyers, Herbert and Bolte, Sven and Spittle, Alicia J. and Urlesberger, Berndt and Schuller, Bjoern and Poustka, Luise and Ozonoff, Sally and Pernkopf, Franz and Pock, Thomas and Tammimies, Kristiina and Enzinger, Christian and Krieber, Magdalena and Tomantschger, Iris and Bartl-Pokorny, Katrin D. and Sigafoos, Jeff and Roche, Laura and Esposito, Gianluca and Gugatschka, Markus and Nielsen-Saines, Karin and Einspieler, Christa and Kaufmann, Walter E.}},
  issn         = {{1528-4042}},
  journal      = {{CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS}},
  keywords     = {{AUTISM SPECTRUM DISORDER,CENTRAL PATTERN GENERATORS,WHITE-MATTER,DEVELOPMENT,CENTRAL-NERVOUS-SYSTEM,RETT-SYNDROME,CEREBRAL-PALSY,HIGH-RISK,GENETIC-DISORDERS,FUTURE-DIRECTIONS,INFANT SIBLINGS,Computer vision,Diagnosis,Early humandevelopment,Intelligent,vocalisation analysis,Multidimensional assessment,Neurodevelopmental,disorders}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{15}},
  publisher    = {{Springer}},
  title        = {{A novel way to measure and predict development : a heuristic approach to facilitate the early detection of neurodevelopmental disorders}},
  url          = {{http://dx.doi.org/10.1007/s11910-017-0748-8}},
  volume       = {{17}},
  year         = {{2017}},
}

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