Evidence map›Paper›PMID 35965431›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2023

Complexity analysis of head movements in autistic toddlers.

Pradeep Raj Krishnappa Babu, J Matias Di Martino, Zhuoqing Chang, Sam Perochon, Rachel Aiello, Kimberly L H Carpenter, Scott Compton, Naomi Davis, Lauren Franz, Steven Espinosa and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  4. Autism Digital Phenotyping in Preschool- and School-Age Children.Autism research : official journal of the International Society for Autism Research · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. What are quantitative traits and how can they be used in autism research?Autism research : official journal of the International Society for Autism Research · 2023
    Article
  14. Relationship between quantitative digital behavioral features and clinical profiles in young autistic children.Autism research : official journal of the International Society for Autism Research · 2023
    Article
  15. Article
  16. Predicting Autism from Head Movement Patterns during Naturalistic Social Interactions.Proceedings of the 2023 7th International Conference on Medical and Health Informatics (ICMHI 2023) : May 12-14, 2023, Kyoto, Japan. International Conference on Medical and Health Informatics (7th : 2023 : Kyoto, Japan) · 2023
    Article
  17. Review
  18. Head Movement Patterns during Face-to-Face Conversations Vary with Age.ICMI'22 Companion : companion publication of the 2022 International Conference on Multimodal Interaction : November 7-11, 2022, Bangalore, India. ICMI (Conference) (2022 : Bangalore, India) · 2022
    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

13 authors at 2 institutions in 2 countries.

Pradeep Raj Krishnappa BabuDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.ORCID 0000-0001-8404-3320
J Matias Di MartinoDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
Zhuoqing ChangDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
Sam PerochonDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
Rachel AielloDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Kimberly L H CarpenterDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Scott ComptonDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Naomi DavisDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Lauren FranzDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Steven EspinosaOffice of Information Technology, Duke University, Durham, NC, USA.
Jacqueline FlowersDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Geraldine DawsonDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Guillermo SapiroDepartment of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
Duke University · USÉcole Normale Supérieure Paris-Saclay · FR

Funding

Recruitment and Assessment CoreP50HD093074 · NICHD · DUKE UNIVERSITY · PI SCOTT N COMPTON · 2017 to 2026
$27.6M
Novel Approaches to Infant Screening for ASD in Pediatric Primary CareR01MH121329 · NIMH · DUKE UNIVERSITY · PI DAWSON, GERALDINE · 2019 to 2023
$3.9M
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
NICHD NIH HHS P50 HD093074NIMH NIH HHS R01 MH120093NIMH NIH HHS R01 MH121329
6 · The paper itself

Abstract

backgroundEarly differences in sensorimotor functioning have been documented in young autistic children and infants who are later diagnosed with autism. Previous research has demonstrated that autistic toddlers exhibit more frequent head movement when viewing dynamic audiovisual stimuli, compared to neurotypical toddlers. To further explore this behavioral characteristic, in this study, computer vision (CV) analysis was used to measure several aspects of head movement dynamics of autistic and neurotypical toddlers while they watched a set of brief movies with social and nonsocial content presented on a tablet.

methodsData were collected from 457 toddlers, 17-36 months old, during their well-child visit to four pediatric primary care clinics. Forty-one toddlers were subsequently diagnosed with autism. An application (app) displayed several brief movies on a tablet, and the toddlers watched these movies while sitting on their caregiver's lap. The front-facing camera in the tablet recorded the toddlers' behavioral responses. CV was used to measure the participants' head movement rate, movement acceleration, and complexity using multiscale entropy.

resultsAutistic toddlers exhibited significantly higher rate, acceleration, and complexity in their head movements while watching the movies compared to neurotypical toddlers, regardless of the type of movie content (social vs. nonsocial). The combined features of head movement acceleration and complexity reliably distinguished the autistic and neurotypical toddlers.

conclusionsAutistic toddlers exhibit differences in their head movement dynamics when viewing audiovisual stimuli. Higher complexity of their head movements suggests that their movements were less predictable and less stable compared to neurotypical toddlers. CV offers a scalable means of detecting subtle differences in head movement dynamics, which may be helpful in identifying early behaviors associated with autism and providing insight into the nature of sensorimotor differences associated with autism.

Indexed as

Autism Spectrum DisorderAutistic DisorderChildChild, PreschoolHead MovementsHumansInfantSystems AnalysisAutismcomplexity analysiscomputer visionhead movements

Identifiers

PMID35965431
PMCPMC9771883
OpenAlexW4291465657

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.