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Biol Psychol. 2019 Sep;146:107712. doi: 10.1016/j.biopsycho.2019.05.012. Epub 2019 Jun 1.

Methodological considerations in the use of Noldus EthoVision XT video tracking of children with autism in multi-site studies.

Author information

1
Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, Duke University Medical Center, Durham, NC, USA. Electronic address: maura.devito@dm.duke.edu.
2
Duke Institute for Brain Sciences, Duke University Medical Center, Durham, NC, USA.
3
Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, Duke University Medical Center, Durham, NC, USA.
4
Department of Psychiatry, University of Washington, Seattle, WA, USA.
5
Yale School of Medicine, New Haven, CT, USA.
6
Yale University School of Medicine, Child Study Center, New Haven, CT, USA.
7
Department of Emergency Medicine, Yale Center for Analytical Sciences, Yale University, CT, USA.
8
Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
9
Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, USA.
10
Boston Children's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Graduate School of Education, Boston, MA, USA.
11
University of Washington and Seattle Children's Research Institute Center for Child Behavior, Health, and Development, Seattle, WA, USA.
12
Departments of Biostatistics, Statistics and Psychiatry, University of California, Los Angeles, CA, USA.
13
Yale University School of Medicine, Child Study Center, New Haven, CT, USA. Electronic address: james.mcpartland@yale.edu.

Abstract

Animal models of autism spectrum disorders (ASD) contribute to understanding of the role of genetics and the biological mechanisms underlying behavioral phenotypes and inform the development of potential treatments. Translational biomarkers are needed that can both validate these models and facilitate behavioral testing paradigms for ASD in humans. Automated video tracking of movement patterns and positions recorded from overhead cameras is routinely applied in behavioral paradigms designed to elicit core behavioral manifestations of ASD in rodent models. In humans, laboratory-based observations are a common semi-naturalistic context for assessing a variety of behaviors relevant to ASD such as social engagement, play, and attention. We present information learned and suggest guidelines for designing, recording, acquiring, and evaluating video tracking data of human movement patterns based on our experience in a multi-site video tracking study of children with ASD in the context of a parent-child, laboratory-based play interaction.

KEYWORDS:

Autism spectrum disorder; Automated behavioral assessment; Parent-child interaction; Play-based assessment; Video tracking

PMID:
31163191
DOI:
10.1016/j.biopsycho.2019.05.012
[Indexed for MEDLINE]

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