Evidence map›Paper›PMID 33229247›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2021

Computerized Assessment of Motor Imitation as a Scalable Method for Distinguishing Children With Autism.

Bahar Tunçgenç, Carolina Pacheco, Rebecca Rochowiak, Rosemary Nicholas, Sundararaman Rengarajan, Erin Zou, Brice Messenger, René Vidal, Stewart H Mostofsky

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
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  5. Autism Digital Phenotyping in Preschool- and School-Age Children.Autism research : official journal of the International Society for Autism Research · 2025
    Article
  6. Article
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  9. Interceptive abilities in autism spectrum disorder: Comparing naturalistic and virtual visuomotor tasks.Autism research : official journal of the International Society for Autism Research · 2024
    Article
  10. Article
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  12. Review
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  16. Article
  17. Computational Measurement of Motor Imitation and Imitative Learning Differences in Autism Spectrum Disorder: Computational Motor Imitation Measurement in ASD.ICMI '21 companion : companion publication of the 2021 International Conference on Multimodal Interaction : October 18th-22, 2021, Montreal, Canada. ICMI (Conference) (23rd : 2021 : Montreal, Quebec; Online) · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Bahar TunçgençCenter for Neurodevelopment and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland; School of Psychology, University of Nottingham, Nottingham, United Kingdom. Electronic address: bahartuncgenc@gmail.com.
Carolina PachecoMathematical Institute for Data Science, Johns Hopkins University, Baltimore, Maryland; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.
Rebecca RochowiakCenter for Neurodevelopment and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland.
Rosemary NicholasSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.
Sundararaman RengarajanJoint Doctoral Program in Language and Communicative Disorders, San Diego State University and University of California San Diego, San Diego, California.
Erin ZouCenter for Neurodevelopment and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland.
Brice MessengerCenter for Neurodevelopment and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland.
René VidalMathematical Institute for Data Science, Johns Hopkins University, Baltimore, Maryland; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.
Stewart H MostofskyCenter for Neurodevelopment and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

Somatosensory Inhibitory Dysfunction in Autism Spectrum Disorder.R01MH106564 · NIMH · JOHNS HOPKINS UNIVERSITY · PI EDDEN, RICHARD ANTHONY EDWARD · 2016 to 2020
$2.5M
SCH: GEAR - Grounded Early Adaptive RehabilitationR01HD087133 · NICHD · UNIVERSITY OF DELAWARE · PI GALLOWAY, JAMES C., HEINZ, JEFFREY · 2015 to 2017
$1.5M
NICHD NIH HHS R01 HD087133NIMH NIH HHS R01 MH106564
6 · The paper itself

Abstract

backgroundImitation deficits are prevalent in autism spectrum conditions (ASCs) and are associated with core autistic traits. Imitating others' actions is central to the development of social skills in typically developing populations, as it facilitates social learning and bond formation. We present a Computerized Assessment of Motor Imitation (CAMI) using a brief (1-min), highly engaging video game task.

methodsUsing Kinect Xbox motion tracking technology, we recorded 48 children (27 with ASCs, 21 typically developing) as they imitated a model's dance movements. We implemented an algorithm based on metric learning and dynamic time warping that automatically detects and evaluates the important joints and returns a score considering spatial position and timing differences between the child and the model. To establish construct validity and reliability, we compared imitation performance measured by the CAMI method to the more traditional human observation coding (HOC) method across repeated trials and two different movement sequences.

resultsResults revealed poorer imitation in children with ASCs than in typically developing children (ps < .005), with poorer imitation being associated with increased core autism symptoms. While strong correlations between the CAMI and HOC methods (rs = .69-.87) confirmed the CAMI's construct validity, CAMI scores classified the children into diagnostic groups better than the HOC scores (accuracy

conclusionsFindings support the CAMI as an objective, highly scalable, directly interpretable method for assessing motor imitation differences, providing a promising biomarker for defining biologically meaningful ASC subtypes and guiding intervention.

Indexed as

Autism Spectrum DisorderAutistic DisorderChildHumansImitative BehaviorLearningReproducibility of ResultsAutismImitationInterventionMachine learningMotor learningSocial behavior

Identifiers

PMID33229247
PMCPMC7943651

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.