Evidence map›Paper›PMID 40521253›Full record

ArticleAnnual review of developmental psychology2023

A Developmental Social Neuroscience Perspective on Infant Autism Interventions.

Geraldine Dawson, Amber D Rieder, Mark H Johnson

Abstract read
In one paragraph

Article in Annual review of developmental psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

3 authors.

Geraldine DawsonDuke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, United States.
Amber D RiederDuke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, United States.
Mark H JohnsonDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.

Funding

Recruitment and Assessment CoreP50HD093074 · NICHD · DUKE UNIVERSITY · PI Geraldine Dawson, Lauren Franz · 2017 to 2026
$27.6M
Novel Approaches to Infant Screening for ASD in Pediatric Primary CareR01MH121329 · NIMH · DUKE UNIVERSITY · PI DAWSON, GERALDINE · 2019 to 2023
$3.9M
NICHD NIH HHS P50 HD093074NIMH NIH HHS R01 MH121329
6 · The paper itself

Abstract

Research on early biomarkers and behavioral precursors of autism has led to interventions initiated during the infant period that could potentially change the course of infant brain and behavioral development in autism. This article integrates neuroscience and clinical perspectives to explore how knowledge of infant brain and behavioral development can inform the design of infant autism interventions. Focusing on infants ≤12 months, we review studies on behavioral precursors of autism and their neural correlates and clinical trials evaluating the efficacy of infant autism interventions. We then consider how contemporary developmental social neuroscience theories of autism can shed light on the therapeutic strategies used in infant autism interventions and offer a new perspective that emphasizes improving child outcome and well-being by enhancing infant-environment fit. Finally, we offer recommendations for future research that incorporates brain-based measures to inform individualized approaches to intervention and discuss ethical issues raised by infant autism interventions. Readers are referred to Supplemental Table 1 for a glossary of terms used in this article.

Indexed as

autismbraindevelopmental neuroscienceinfantintervention

Identifiers

PMID40521253
PMCPMC12165438

What OpenQuestion holds

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LicenceCC BY
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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.