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How can clinicians detect and treat autism early? Methodological trends of technology use in research.
Bölte, S; Bartl-Pokorny, K D; Jonsson, U; Berggren, S; Zhang, D; Kostrzewa, E; Falck-Ytter, T; Einspieler, C; Pokorny, F B; Jones, E J H; Roeyers, H; Charman, T; Marschik, P B.
Afiliação
  • Bölte S; Department of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
  • Bartl-Pokorny KD; Child and Adolescent Psychiatry, Center for Psychiatry Research, Stockholm County Council, Stockholm, Sweden.
  • Jonsson U; Institute of Physiology, Research Unit iDN (interdisciplinary Developmental Neuroscience), Medical University of Graz, Graz, Austria.
  • Berggren S; Department of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
  • Zhang D; Department of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
  • Kostrzewa E; Child and Adolescent Psychiatry, Center for Psychiatry Research, Stockholm County Council, Stockholm, Sweden.
  • Falck-Ytter T; Institute of Physiology, Research Unit iDN (interdisciplinary Developmental Neuroscience), Medical University of Graz, Graz, Austria.
  • Einspieler C; Department of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
  • Pokorny FB; Department of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
  • Jones EJ; Department of Psychology, Uppsala Child and Babylab, Uppsala University, Uppsala, Sweden.
  • Roeyers H; Department of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
  • Charman T; Institute of Physiology, Research Unit iDN (interdisciplinary Developmental Neuroscience), Medical University of Graz, Graz, Austria.
  • Marschik PB; Department of Electrical, Electronic and Computer Engineering, Technical University, Munich, Munich, Germany.
Acta Paediatr ; 105(2): 137-44, 2016 Feb.
Article em En | MEDLINE | ID: mdl-26479859
ABSTRACT
UNLABELLED 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.

CONCLUSION:

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Autístico Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Autístico Idioma: En Ano de publicação: 2016 Tipo de documento: Article