Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid

Marschik, PB; Pokorny, FB; Peharz, R; Zhang, D; O'Muircheartaigh, J; Roeyers, H; Bölte, S; Spittle, AJ; Urlesberger, B; Schuller, B; Poustka, L; Ozonoff, S; Pernkopf, F; Pock, T; Tammimies, K; Enzinger, C; Krieber, M; Tomantschger, I; Bartl-Pokorny, KD; Sigafoos, J; Roche, L; Esposito, G; Gugatschka, M; Nielsen-Saines, K; Einspieler, C; Kaufmann, WE; BEE-PRI Study Group.
A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders.
Curr Neurol Neurosci Rep. 2017; 17(5):43-43 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG


Autor/innen der Med Uni Graz:
Bartl-Pokorny Katrin Daniela
Einspieler Christa
Enzinger Christian
Gugatschka Markus
Krieber-Tomantschger Iris
Krieber-Tomantschger Magdalena
Marschik Peter
Peharz Robert
Pokorny Florian
Urlesberger Berndt
Study Group Mitglieder der Med Uni Graz:
Marschik Dajie

Dimensions Citations:

Plum Analytics:
Number of Figures: 4
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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. 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.
Find related publications in this database (using NLM MeSH Indexing)
Biomarkers -
Early Diagnosis -
Humans -
Neurodevelopmental Disorders - diagnosis

Find related publications in this database (Keywords)
Computer vision
Early humandevelopment
Intelligent vocalisation analysis
Multidimensional assessment
Neurodevelopmental disorders
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