TY - JOUR
T1 - A Novel Way to Measure and Predict Development
T2 - A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders
AU - The BEE-PRI Study Group
AU - Marschik, Peter B.
AU - Pokorny, Florian B.
AU - Peharz, Robert
AU - Zhang, Dajie
AU - O’Muircheartaigh, Jonathan
AU - Roeyers, Herbert
AU - Bölte, Sven
AU - Spittle, Alicia J.
AU - Urlesberger, Berndt
AU - Schuller, Björn
AU - Poustka, Luise
AU - Ozonoff, Sally
AU - Pernkopf, Franz
AU - Pock, Thomas
AU - Tammimies, Kristiina
AU - Enzinger, Christian
AU - Krieber, Magdalena
AU - Tomantschger, Iris
AU - Bartl-Pokorny, Katrin D.
AU - Sigafoos, Jeff
AU - Roche, Laura
AU - Esposito, Gianluca
AU - Gugatschka, Markus
AU - Nielsen-Saines, Karin
AU - Einspieler, Christa
AU - Kaufmann, Walter E.
N1 - Publisher Copyright:
© 2017, The Author(s).
PY - 2017/5/1
Y1 - 2017/5/1
N2 - 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.
AB - 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.
KW - Computer vision
KW - Diagnosis
KW - Early human development
KW - Intelligent vocalisation analysis
KW - Multidimensional assessment
KW - Neurodevelopmental disorders
UR - http://www.scopus.com/inward/record.url?scp=85017279656&partnerID=8YFLogxK
U2 - 10.1007/s11910-017-0748-8
DO - 10.1007/s11910-017-0748-8
M3 - Review article
C2 - 28390033
AN - SCOPUS:85017279656
SN - 1528-4042
VL - 17
JO - Current Neurology and Neuroscience Reports
JF - Current Neurology and Neuroscience Reports
IS - 5
M1 - 43
ER -