Evidence map›Paper›PMID 38958283›Full record

ArticleJournal of neurophysiology2024

It's all in the timing: delayed feedback in autism may weaken predictive mechanisms during contour integration.

Emily J Knight, Ted S Altschuler, Sophie Molholm, Jeremy W Murphy, Edward G Freedman, John J Foxe

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Emily J KnightThe Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Department of Neuroscience, The Del Monte Institute for Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, United States.
Ted S AltschulerThe Cognitive Neurophysiology Laboratory, Department of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States.
Sophie MolholmThe Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Department of Neuroscience, The Del Monte Institute for Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, United States.ORCID 0000-0002-0094-4015
Jeremy W MurphyThe Cognitive Neurophysiology Laboratory, Department of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States.
Edward G FreedmanThe Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Department of Neuroscience, The Del Monte Institute for Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, United States.ORCID 0000-0001-8570-6325
John J FoxeThe Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Department of Neuroscience, The Del Monte Institute for Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, United States.ORCID 0000-0002-4300-3098

Funding

University of Rochester Intellectual and Developmental Disabilities Research CenterP50HD103536 · NICHD · UNIVERSITY OF ROCHESTER · PI JOHN J FOXE, Anna K Majewska · 2020 to 2026
$9.8M
SUPPORT FOR THE ROSE F KENNEDY IDDRC P50P50HD105352 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SOPHIE MOLHOLM, Steven Upshaw Walkley · 2021 to 2026
$7.0M
Translational Neuroimaging CoreP30HD071593 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI WALKLEY, STEVEN UPSHAW · 2011 to 2015
$5.6M
Institutional Career Development CoreKL2TR001999 · NCATS · UNIVERSITY OF ROCHESTER · PI XIAO, JIN · 2016 to 2024
$5.2M
Sensory Processing and Integration in AutismR01MH085322 · NIMH · CITY COLLEGE OF NEW YORK · PI FOXE, JOHN J, MOLHOLM, SOPHIE · 2009 to 2013
$2.8M
HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) HD071593HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) HD103536HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) HD105352HHS | NIH | National Institute of Mental Health (NIMH) MH085322Institutional Career Development Core TR001999NCATS NIH HHS KL2 TR001999NICHD NIH HHS P30 HD071593NICHD NIH HHS P50 HD103536NICHD NIH HHS P50 HD105352NIMH NIH HHS R01 MH085322
6 · The paper itself

Abstract

Humans rely on predictive and integrative mechanisms during visual processing to efficiently resolve incomplete or ambiguous sensory signals. Although initial low-level sensory data are conveyed by feedforward connections, feedback connections are believed to shape sensory processing through automatic conveyance of statistical probabilities based on prior exposure to stimulus configurations. Individuals with autism spectrum disorder (ASD) show biases in stimulus processing toward parts rather than wholes, suggesting their sensory processing may be less shaped by statistical predictions acquired through prior exposure to global stimulus properties. Investigations of illusory contour (IC) processing in neurotypical (NT) adults have established a well-tested marker of contour integration characterized by a robust modulation of the visually evoked potential (VEP)-the IC-effect-that occurs over lateral occipital scalp during the timeframe of the visual N1 component. Converging evidence strongly supports the notion that this IC-effect indexes a signal with significant feedback contributions. Using high-density VEPs, we compared the IC-effect in 6- to 17-yr-old children with ASD (

Indexed as

Autism Spectrum DisorderEvoked Potentials, VisualAdolescentChildElectroencephalographyFemaleForm PerceptionHumansMaleVisual Perceptionautism spectrum disorderillusory contoursobject recognitionvisual-evoked potentialsvisual feedback

Identifiers

PMID38958283
PMCPMC11427042

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.