Evidence map›Paper›PMID 41959289›Full record

ArticlebioRxiv : the preprint server for biology2026

Visual Cortical Response Variability in Infants at High Familial Likelihood for Autism.

Abigail Dickinson, Madison Booth, Scott Huberty, Declan Ryan, Alana Campbell, Jessica B Girault, Neely Miller, Bonnie Lau, John Zempel, Sara Jane Webb and 12 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

5 · Who and what money

Authors and funding

22 authors.

Abigail DickinsonCenter for Autism Research and Treatment, Semel Institute for Neuroscience, University of California, Los Angeles, CA, USA.
Madison BoothDepartment of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Scott HubertyDepartment of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Declan RyanCenter for Autism Research and Treatment, Semel Institute for Neuroscience, University of California, Los Angeles, CA, USA.
Alana CampbellCarolina Institute for Developmental Disabilities, Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jessica B GiraultCarolina Institute for Developmental Disabilities, Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Neely MillerMinnesota Center for Twin and Family Research, Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
Bonnie LauDepartment of Otolaryngology - Head and Neck Surgery, University of Washington, Seattle, WA, USA.
John ZempelDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Sara Jane WebbCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA.
Jed ElisonInstitute of Child Development, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
Adrian Kc LeeDepartment of Speech and Hearing Sciences, Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, USA.
Annette EstesDepartment of Speech and Hearing Sciences, Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, USA.
Stephen R DagerDepartment of Radiology, University of Washington, Seattle, WA, USA.
Heather HazlettCarolina Institute for Developmental Disabilities, Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jason WolffDepartment of Educational Psychology, University of Minnesota, Minneapolis, MN, USA.
Robert SchultzCenter for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Natasha MarrusDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Alan EvansMcGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montréal, QC, Canada.
Joseph PivenCarolina Institute for Developmental Disabilities, Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
John R PruettDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Shafali JesteDepartment of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.

Funding

Cellular and molecular mechanisms governing cortical surface area overgrowth in iPSC-derived neural cells from longitudinally characterized individuals with autismR01HD055741 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph Piven · 2007 to 2026
$52.6M
MRI-Based Presymptomatic Prediction of ASD, and Early Infant to School-Age Brain-Behavior Trajectories, Mechanisms, and Related OutcomesR01MH118362 · NIMH · WASHINGTON UNIVERSITY · PI John R Pruett · 2019 to 2026
$16.3M
Toward Scalable Biomarker-Based Prediction of ASD in High-Risk InfantsR01MH121462 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JESTE, SHAFALI SPURLING · 2019 to 2023
$4.0M
NICHD NIH HHS R01 HD055741NIMH NIH HHS R01 MH118362NIMH NIH HHS R01 MH121462
6 · The paper itself

Abstract

Visual processing undergoes rapid refinement in the first year of life, supporting the emergence of higher-order cognitive, language, and motor functions. Visual evoked potentials (VEPs) provide a non-invasive measure of visual system maturation that may shed light on heterogeneous developmental trajectories among infants at high familial likelihood for autism. Infants with an older sibling with autism spectrum disorder (N = 177 at 6 months; N = 132 at 12 months) participated in the Infant Brain Imaging Study-Early Prediction (IBIS-EP) study. Pattern-reversal VEPs were recorded at 6 and 12 months, and developmental skills were assessed at 24 months using the Bayley Scales of Infant and Toddler Development (Bayley-III). VEP components were characterized by P1 amplitude, latency, and trial-to-trial variability in latency. Associations with 24-month cognitive, language, and motor scores were examined using general linear models controlling for age, site, sex, and trial count. Robust VEPs were observed at both timepoints, showing age-appropriate morphology and expected developmental changes, including decreases in P1 latency and amplitude from 6 to 12 months. Greater trial-to-trial variability in P1 latency at both timepoints was significantly associated with higher cognitive and language scores at 24 months. Variability in visual cortical response timing was the strongest neural correlate of developmental skills in infancy. These findings suggest that temporal variability in early neural responses may reflect adaptive sensory circuit flexibility rather than inefficiency, potentially facilitating experience-dependent tuning of visual pathways. VEPs offer a mechanistic window into how developing sensory systems scaffold individual differences in early developmental trajectories.

Indexed as

AutismdevelopmentEEGinfancyneural variabilityVisual evoked potentials

Identifiers

PMID41959289
PMCPMC13060789

What OpenQuestion holds

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Registered trials

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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.