Evidence map›Paper›PMID 36056678›Full record

ArticleAutism research : official journal of the International Society for Autism Research2022

Child language and autism diagnosis impact hierarchical temporal structure of parent-child vocal interactions in early childhood.

Olivia Boorom, Camila Alviar, Yumeng Zhang, Valerie A Muñoz, Christopher T Kello, Miriam D Lense

Open access · greenAbstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

6 authors at 4 institutions in 1 country.

Olivia BooromDepartment of Speech-Language-Hearing: Sciences and Disorders, University of Kansas, Lawrence, Kansas, USA.ORCID 0000-0003-4970-7368
Camila AlviarDepartment of Otolaryngology - Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Yumeng ZhangDepartment of Otolaryngology - Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Valerie A MuñozDepartment of Otolaryngology - Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Christopher T KelloCognitive and Information Sciences, University of California, Merced, Merced, California, USA.
Miriam D LenseDepartment of Otolaryngology - Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0003-4362-3032
University of California, Merced · USVanderbilt University Medical Center · USUniversity of Kansas · USVanderbilt University · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
Musical Rhythm Sensitivity to Scaffold Social Engagement in Autism Spectrum DisorderR61MH123029 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JONES, WARREN, LENSE, MIRIAM · 2019 to 2020
$1.2M
Social Rhythmic Entrainment and Language Development in Autism Spectrum DisordersR21DC016710 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LENSE, MIRIAM · 2018 to 2020
$540k
NCATS NIH HHS UL1 TR000445NICHD NIH HHS P50 HD103537NIDCD NIH HHS R21 DC016710NIMH NIH HHS R61 MH123029VUMC Faculty Research Scholars
6 · The paper itself

Abstract

Timing is critical to successful social interactions. The temporal structure of dyadic vocal interactions emerges from the rhythm, timing, and frequency of each individuals' vocalizations and reflects how the dyad dynamically organizes and adapts during an interaction. This study investigated the temporal structure of vocal interactions longitudinally in parent-child dyads of typically developing (TD) infants (n = 49; 9-18 months; 48% male) and toddlers with ASD (n = 23; 27.2 ± 5.0 months; 91.3% male) to identify how developing language and social skills impact the temporal dynamics of the interaction. Acoustic hierarchical temporal structure (HTS), a measure of the nested clustering of acoustic events across multiple timescales, was measured in free play interactions using Allan Factor. HTS reflects a signal's temporal complexity and variability, with greater HTS indicating reduced flexibility of the dyadic system. Child expressive language significantly predicted HTS (ß = -0.2) longitudinally across TD infants, with greater dyadic HTS associated with lower child language skills. ASD dyads exhibited greater HTS (i.e., more rigid temporal structure) than nonverbal matched (d = 0.41) and expressive language matched TD dyads (d = 0.28). Increased HTS in ASD dyads occurred at timescales >1 s, suggesting greater structuring of pragmatic aspects of interaction. Results provide a new window into how language development and social reciprocity serve as constraints to shape parent-child interaction dynamics and showcase a novel automated approach to characterizing vocal interactions across multiple timescales during early childhood.

Indexed as

Autism Spectrum DisorderAutistic DisorderChildChild LanguageChild, PreschoolFemaleHumansInfantMaleParent-Child RelationsSocial Skillsautism spectrum disorderhierarchical temporal structureinteraction dynamicslanguage developmentparent-child interactionsocial reciprocity

Identifiers

PMID36056678
PMCPMC9995224
OpenAlexW4294379343

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.