Evidence map›Paper›PMID 38699395›Full record

ArticleProceedings 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

Predicting Autism from Head Movement Patterns during Naturalistic Social Interactions.

Denisa Qori McDonald, Ellis DeJardin, Evangelos Sariyanidi, John D Herrington, Birkan Tunç, Casey J Zampella, Robert T Schultz

Abstract read
In one paragraph

Article in 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. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Beyond FACS: Data-driven Facial Expression Dictionaries, with Application to Predicting Autism.Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition · 2025
    Article
  5. Detecting Autism from Head Movements using Kinesics.Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference) · 2024
    Article
  6. 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

7 authors.

Denisa Qori McDonaldChildren's Hospital of Philadelphia Philadelphia, PA, USA.
Ellis DeJardinChildren's Hospital of Philadelphia Philadelphia, PA, USA.
Evangelos SariyanidiChildren's Hospital of Philadelphia Philadelphia, PA, USA.
John D HerringtonChildren's Hospital of Philadelphia Philadelphia, PA, USA.
Birkan TunçChildren's Hospital of Philadelphia Philadelphia, PA, USA.
Casey J ZampellaChildren's Hospital of Philadelphia Philadelphia, PA, USA.
Robert T SchultzChildren's Hospital of Philadelphia Philadelphia, PA, USA.

Funding

The Intellectual and Developmental Disabilities Research Center (IDDRC) at CHOP/PennP50HD105354 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI ERIC D MARSH, ROBERT Thomas SCHULTZ · 2021 to 2026
$9.2M
A computer vision toolbox for computational analysis of nonverbal social communicationR01MH122599 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI Birkan Tunc · 2020 to 2026
$4.5M
Optimized Affective Computing Measures of Social Processes and Negative Valence in Youth PsychopathologyR01MH125958 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HERRINGTON, JOHN DAVID, STORCH, ERIC A. · 2021 to 2025
$4.5M
Predicting Autism and Social Functioning from Computer Vision Analyses of Motor Synchrony During Dyadic InteractionsR01MH118327 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI SCHULTZ, ROBERT THOMAS · 2019 to 2023
$3.7M
Novel computer vision-based assessment of infant-caregiver synchrony as an early level II screening tool for autismR21HD102078 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI SCHULTZ, ROBERT THOMAS · 2019 to 2020
$484k
NICHD NIH HHS P50 HD105354NICHD NIH HHS R21 HD102078NIMH NIH HHS R01 MH118327NIMH NIH HHS R01 MH122599NIMH NIH HHS R01 MH125958
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized in part by difficulties in verbal and nonverbal social communication. Evidence indicates that autistic people, compared to neurotypical peers, exhibit differences in head movements, a key form of nonverbal communication. Despite the crucial role of head movements in social communication, research on this nonverbal cue is relatively scarce compared to other forms of nonverbal communication, such as facial expressions and gestures. There is a need for scalable, reliable, and accurate instruments for measuring head movements directly within the context of social interactions. In this study, we used computer vision and machine learning to examine the head movement patterns of neurotypical and autistic individuals during naturalistic, face-to-face conversations, at both the individual (

Indexed as

bag-of-words approachbehavioral analysisconversation analysisdyadic featureshead movement patternsmonadic featuresnon-verbal communicationvideo analysis

Identifiers

PMID38699395
PMCPMC11064057

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.