Evidence map›Paper›PMID 33368921›Full record

ArticleDevelopmental science2021

Lack of neural evidence for implicit language learning in 9-month-old infants at high risk for autism.

Janelle Liu, Tawny Tsang, Carolyn Ponting, Lisa Jackson, Shafali S Jeste, Susan Y Bookheimer, Mirella Dapretto

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PubMed Full text at PMC Publisher
In one paragraph

Article in Developmental science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
3.5field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Janelle LiuInterdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-8242-2973
Tawny TsangDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
Carolyn PontingAhmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA.
Lisa JacksonDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
Shafali S JesteDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
Susan Y BookheimerDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
Mirella DaprettoDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
University of California, Los Angeles · US

Funding

Understanding Repetitive Behavior in AutismP50HD055784 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BOOKHEIMER, SUSAN Y · 2007 to 2021
$32.0M
Comprehensive Training in Neuroimaging Fundamentals and ApplicationsT90DA022768 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COHEN, MARK STEVEN · 2006 to 2015
$1.5M
Neural Networks of Language Learning in Infancy: Insights from NeuroimagingF31HD088102 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIU, JANELLE · 2016 to 2019
$107k
NICHD NIH HHS F31 HD088102NICHD NIH HHS P50 HD055784NIDA NIH HHS T90 DA022768
6 · The paper itself

Abstract

Word segmentation is a fundamental aspect of language learning, since identification of word boundaries in continuous speech must occur before the acquisition of word meanings can take place. We previously used functional magnetic resonance imaging (fMRI) to show that youth with autism spectrum disorder (ASD) are less sensitive to statistical and speech cues that guide implicit word segmentation. However, little is known about the neural mechanisms underlying this process during infancy and how this may be associated with ASD risk. Here, we examined early neural signatures of language-related learning in 9-month-old infants at high (HR) and low familial risk (LR) for ASD. During natural sleep, infants underwent fMRI while passively listening to three speech streams containing strong statistical and prosodic cues, strong statistical cues only, or minimal statistical cues to word boundaries. Compared to HR infants, LR infants showed greater activity in the left amygdala for the speech stream containing statistical and prosodic cues. While listening to this same speech stream, LR infants also showed more learning-related signal increases in left temporal regions as well as increasing functional connectivity between bilateral primary auditory cortex and right anterior insula. Importantly, learning-related signal increases at 9 months positively correlated with expressive language outcome at 36 months in both groups. In the HR group, greater signal increases were additionally associated with less severe ASD symptomatology at 36 months. These findings suggest that early differences in the neural networks underlying language learning may predict subsequent language development and altered trajectories associated with ASD risk.

Indexed as

Autism Spectrum DisorderAutistic DisorderSpeech PerceptionAdolescentHumansInfantLanguageLanguage DevelopmentSpeechautismdevelopmentfMRIinfantlanguagelearning

Identifiers

PMID33368921
PMCPMC8935986
OpenAlexW3115256597

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.