Evidence map›Paper›PMID 37103659›Full record

ArticleJournal of autism and developmental disorders2024

Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report.

Dmitry Yu Isaev, Maura Sabatos-DeVito, J Matias Di Martino, Kimberly Carpenter, Rachel Aiello, Scott Compton, Naomi Davis, Lauren Franz, Connor Sullivan, Geraldine Dawson and 1 more

Abstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Dmitry Yu IsaevDepartment of Biomedical Engineering, Duke University, Durham, NC, USA. dmitry.isaev@duke.edu.ORCID http://orcid.org/0000-0001-9149-0479
Maura Sabatos-DeVitoDuke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
J Matias Di MartinoDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
Kimberly CarpenterDuke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Rachel AielloDuke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Scott ComptonDuke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Naomi DavisDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Lauren FranzDuke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Connor SullivanDuke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Geraldine Dawson *Duke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Guillermo Sapiro *Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. guillermo.sapiro@duke.edu.

Funding

Recruitment and Assessment CoreP50HD093074 · NICHD · DUKE UNIVERSITY · PI Geraldine Dawson · 2017 to 2026
$27.6M
Scalable Computational Platform For Active Closed-Loop Behavioral Coding in Autism Spectrum DisorderR01MH120093 · NIMH · DUKE UNIVERSITY · PI DAWSON, GERALDINE, SAPIRO, GUILLERMO R · 2019 to 2022
$1.6M
National Institute of Child Health and Human Development P50HD093074NICHD NIH HHS P50 HD093074NIMH NIH HHS R01 MH120093NIMH NIH HHS R01MH120093
6 · The paper itself

Abstract

We report preliminary results of computer vision analysis of caregiver-child interactions during free play with children diagnosed with autism (N = 29, 41-91 months), attention-deficit/hyperactivity disorder (ADHD, N = 22, 48-100 months), or combined autism + ADHD (N = 20, 56-98 months), and neurotypical children (NT, N = 7, 55-95 months). We conducted micro-analytic analysis of 'reaching to a toy,' as a proxy for initiating or responding to a toy play bout. Dyadic analysis revealed two clusters of interaction patterns, which differed in frequency of 'reaching to a toy' and caregivers' contingent responding to the child's reach for a toy by also reaching for a toy. Children in dyads with higher caregiver responsiveness had less developed language, communication, and socialization skills. Clusters were not associated with diagnostic groups. These results hold promise for automated methods of characterizing caregiver responsiveness in dyadic interactions for assessment and outcome monitoring in clinical trials.

Indexed as

Attention Deficit Disorder with HyperactivityCaregiversPlay and PlaythingsAutistic DisorderChildChild, PreschoolFemaleHumansMaleNeurodevelopmental DisordersADHDAutismCaregiver–child interactionComputer visionDyadic data analysisMicro-analytic coding

Identifiers

PMID37103659
PMCPMC10603206

What OpenQuestion holds

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Registered trials

None linked

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.