Evidence map›Paper›PMID 40524614›Full record

ArticleJournal of attention disorders2025

Do Infant Heart Rate Variability and Visual Attention Predict Autism and Concerns for ADHD?

Emma M Jaisle, Erica D Musser, Maylinn Yon, Susana Garcia, Antonia M H Piergies, Meghan Miller

Abstract read
In one paragraph

Article in Journal of attention disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Emma M JaisleFlorida International University, Miami, FL, USA.ORCID 0000-0003-4882-7501
Erica D MusserBarnard College, New York, NY, USA.
Maylinn YonFlorida International University, Miami, FL, USA.
Susana GarciaFlorida International University, Miami, FL, USA.
Antonia M H PiergiesUniversity of California, Davis MIND Institute, Sacramento, CA, USA.
Meghan MillerUniversity of California, Davis MIND Institute, Sacramento, CA, USA.

Funding

An investigation of transdiagnostic mechanisms underlying ASD and ADHD traits among infants at riskR01MH121416 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MILLER, MEGHAN RHYS · 2020 to 2024
$3.9M
Shared and Distinct Developmental Pathways to ADHD and Autism Spectrum DisorderR00MH106642 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MILLER, MEGHAN RHYS · 2017 to 2020
$863k
Shared and Distinct Developmental Pathways to ADHD and Autism Spectrum DisorderK99MH106642 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MILLER, MEGHAN RHYS · 2015 to 2016
$164k
NIMH NIH HHS K99 MH106642NIMH NIH HHS R00 MH106642NIMH NIH HHS R01 MH121416
6 · The paper itself

Abstract

objectiveInvestigate whether patterns of heart rate variability (indexed via respiratory sinus arrhythmia) and visual attention at 12 to 18 months of age predict elevated ADHD symptoms, autism, or neither during the preschool period.

methodNinety infants 12 to 18 months of age (

resultsThe ADHD Concerns group exhibited significantly less whole-screen looking time (

conclusionsInfants demonstrate distinct patterns of visual attention predictive of elevated ADHD symptoms in the preschool period. Heart rate variability may also demonstrate predictive utility in the context of early ADHD when examined in relation to social attention, but not independently.

Indexed as

AttentionAttention Deficit Disorder with HyperactivityAutistic DisorderHeart RateRespiratory Sinus ArrhythmiaVisual PerceptionChild, PreschoolEye-Tracking TechnologyFemaleHumansInfantMaleADHDautismself-regulationvisual attention

Identifiers

PMID40524614
PMCPMC13425455

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.