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Träfflista för sökning "WFRF:(Falck Ytter T) ;pers:(Marschik P. B.)"

Sökning: WFRF:(Falck Ytter T) > Marschik P. B.

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1.
  • Bartl-Pokorny, K. D., et al. (författare)
  • Eye Tracking in Basic Research and Clinical Practice
  • 2013
  • Ingår i: Klinische Neurophysiologie. - : Georg Thieme Verlag KG. - 1434-0275 .- 1439-4081. ; 44:3, s. 193-198
  • Tidskriftsartikel (refereegranskat)abstract
    • Eye tracking is a non-invasive technique based on infrared video technology that is used to analyse eye movements. Such analyses might provide insights into perceptual and cognitive capacities. It is a method widely used in various disciplines, such as ophthalmology, neurology, psychiatry and neuropsychology for basic science, but also clinical practice. For example, recent studies on children who were later diagnosed with autism spectrum disorders revealed early abnormal eye movement patterns in socio-communicative settings; children with dyslexia appeared also to have peculiar eye movement patterns, expressed in longer fixation durations and smaller saccades while reading. Current research using eye tracking systems in combination with neurophysiological and brain imaging techniques will add to a better understanding of cognitive, linguistic and socio-communicative development and in the near future possibly also lead to a broader clinical application of this method.
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2.
  • Bolte, S., et al. (författare)
  • How can clinicians detect and treat autism early? Methodological trends of technology use in research
  • 2016
  • Ingår i: Acta Paediatrica. - : Wiley. - 0803-5253 .- 1651-2227. ; 105:2, s. 137-144
  • Forskningsöversikt (refereegranskat)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. 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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