Dyadic Synchrony and Responsiveness Within the Context of Elevated Autism Likelihood: Applying Time-Varying Effect Models

The ability to engage in synchronous interactions develops in the first year, as infants learn to sequentially regulate prosocial behaviors. Difficulty developing competence in these early social building blocks is linked to later developmental concerns, including autism spectrum disorder (ASD). Currently, metrics for quantifying social competence rely primarily on mean-level indices; however, interactions are dynamic. The present study modeled change in the odds of dyadic synchrony (DS), maternal responsiveness (MR), and infant responsiveness (IR) over time to explore if temporal patterns can inform developmental monitoring. Dyads were recruited from families with at least one older child with ASD (elevated ASD likelihood, n = 95) or families with no history of ASD (typical ASD likelihood, n = 72). Theory-driven indices of dyadic synchrony and responsiveness were derived from micro-analytically coded gaze, positive affect, and vocalizations. A series of logistic time-varying effect models (TVEMs) were conducted to compare temporal changes in synchrony and responsiveness across the infant/toddler groupings of (1) elevated- vs typical-ASD likelihood and (2) typical (TYP), ASD, or other developmental concerns (Non-ASD DC). DS, IR, and MR patterns were temporally stable but lower for the elevated ASD likelihood group. Temporal patterns of DS, IR, and MR were more variable for the ASD and Non-ASD DC groups. TVEMs captured meaningful dyadic information and could be used in future studies to inform prospective monitoring and parent-mediated intervention approaches.

Authors

Institutions

Publication Details

Journal
Journal of Autism and Developmental Disorders
Published
2025-06-11
DOI
https://doi.org/10.1007/s10803-025-06891-z
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dyadic Synchrony and Responsiveness Within the Context of Elevated Autism Likelihood: Applying Time-Varying Effect Models

Ashleigh Kellerman, Meghan Miller, Amy Janis, Sarah S. Dermody et al.
Journal of Autism and Developmental Disorders
Autism Spectrum Disorder Research
article

Dyadic Synchrony and Responsiveness Within the Context of Elevated Autism Likelihood: Applying Time-Varying Effect Models

Ashleigh Kellerman, Meghan Miller, Amy Janis, Sarah S. Dermody, Daniel S. Messinger, A. J. Schwichtenberg, Antonia M. H. Piergies
article en

Abstract

The ability to engage in synchronous interactions develops in the first year, as infants learn to sequentially regulate prosocial behaviors. Difficulty developing competence in these early social building blocks is linked to later developmental concerns, including autism spectrum disorder (ASD). Currently, metrics for quantifying social competence rely primarily on mean-level indices; however, interactions are dynamic. The present study modeled change in the odds of dyadic synchrony (DS), maternal responsiveness (MR), and infant responsiveness (IR) over time to explore if temporal patterns can inform developmental monitoring. Dyads were recruited from families with at least one older child with ASD (elevated ASD likelihood, n = 95) or families with no history of ASD (typical ASD likelihood, n = 72). Theory-driven indices of dyadic synchrony and responsiveness were derived from micro-analytically coded gaze, positive affect, and vocalizations. A series of logistic time-varying effect models (TVEMs) were conducted to compare temporal changes in synchrony and responsiveness across the infant/toddler groupings of (1) elevated- vs typical-ASD likelihood and (2) typical (TYP), ASD, or other developmental concerns (Non-ASD DC). DS, IR, and MR patterns were temporally stable but lower for the elevated ASD likelihood group. Temporal patterns of DS, IR, and MR were more variable for the ASD and Non-ASD DC groups. TVEMs captured meaningful dyadic information and could be used in future studies to inform prospective monitoring and parent-mediated intervention approaches.

Journal of Autism and Developmental Disorders
University of Miami (US), Purdue University West Lafayette (US), Toronto Metropolitan University (CA), University of California, Davis (US)
Purdue University, National Institute of Mental Health, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Openalex Percentile: Top 87%
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.