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

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Bölte, S; Bartl-Pokorny, KD; Jonsson, U; Berggren, S; Zhang, D; Kostrzewa, E; Falck-Ytter, T; Einspieler, C; Pokorny, FB; Jones, EJ; Roeyers, H; Charman, T; Marschik, PB.
How can clinicians detect and treat autism early? Methodological trends of technology use in research.
Acta Paediatr. 2016; 105(2):137-144 Doi: 10.1111/apa.13243 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Co-Autor*innen der Med Uni Graz
Bartl-Pokorny Katrin Daniela
Einspieler Christa
Marschik Dajie
Marschik Peter
Pokorny Florian
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
We reviewed original research papers that used quantifiable technology to detect early autism spectrum disorder (ASD) and identified 376 studies from 34 countries from 1965 to 2013. Publications have increased significantly since 2000, with most coming from the USA. Electroencephalogram, magnetic resonance imaging and eye tracking were the most frequently used technologies. The use of quantifiable technology to detect early ASD has increased in recent decades, but has had limited impact on early detection and treatment. Further scientific developments are anticipated, and we hope that they will increasingly be used in clinical practice for early ASD screening, diagnosis and intervention. ©2015 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.
Find related publications in this database (using NLM MeSH Indexing)
Autistic Disorder - diagnosis
Autistic Disorder - therapy
Electroencephalography -
Humans -
Magnetic Resonance Imaging -

Find related publications in this database (Keywords)
Early autism spectrum disorder
Electroencephalogram
Eye-tracking technology
Magnetic resonance imaging
Review
© Med Uni Graz Impressum