Evidence map›Paper›PMID 37475679›Full record

ArticleBrain and behavior2023

Children with autism spectrum disorder who demonstrate normal language scores use a bottom-up semantic processing strategy: Evidence from N400 recordings.

Lee Phan, Alina Tariq, Garbo Lam, Maaz Mirza, Dylan Paiva, Milan Lazic, Zahra Emami, Evdokia Anagnostou, Karen A Gordon, Elizabeth W Pang

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 5 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

10 authors at 4 institutions in 1 country.

Lee PhanSickKids Research Institute, Toronto, Ontario, Canada.
Alina TariqSickKids Research Institute, Toronto, Ontario, Canada.
Garbo LamSickKids Research Institute, Toronto, Ontario, Canada.
Maaz MirzaSickKids Research Institute, Toronto, Ontario, Canada.
Dylan PaivaSickKids Research Institute, Toronto, Ontario, Canada.
Milan LazicSickKids Research Institute, Toronto, Ontario, Canada.
Zahra EmamiSickKids Research Institute, Toronto, Ontario, Canada.
Evdokia AnagnostouSickKids Research Institute, Toronto, Ontario, Canada.
Karen A GordonSickKids Research Institute, Toronto, Ontario, Canada.
Elizabeth W PangSickKids Research Institute, Toronto, Ontario, Canada.ORCID 0000-0001-5541-3329
University of Toronto · CAHospital for Sick Children · CASickKids Foundation · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe N400 is an electrophysiological component that reflects lexical access and integration of words with mental representations.

methodsThirty-five young children with a range of language capabilities (n = 21 neurotypical controls, 10 males, mean age = 6.3 ± 0.9 years; n = 14 children with autism, 12 males, mean age = 6.4 ± 1.1 years) completed an auditory semantic categorization paradigm to evoke the N400. Electroencephalograph (EEG) data were acquired with a 64-channel electrode cap as children listened via ear inserts to binaurally presented single syllable words and decided whether the words were congruent (in) or incongruent (out) with a pre-specified category. EEG data were filtered, epoched, and averaged referenced, and global field power (GFP) was computed. The amplitude of the N400 peak in the GFP was submitted to a multiple linear regression analysis.

resultsN400 amplitude was found to predict language scores only for the children with ASD who have language scores in the normal range (r

conclusionsThis finding that N400 amplitude only predicted language scores in children with ASD and normal language scores suggests that these children may rely more on basic semantic processing (as reflected by the N400) and less on anticipating and predicting upcoming words. This suggests preferential utilization of a bottom-up strategy to access higher order language.

Indexed as

Autism Spectrum DisorderSemanticsChildChild, PreschoolElectroencephalographyEvoked PotentialsFemaleHumansLanguageMaleautismchildrenlanguageN400semantic processing

Identifiers

PMID37475679
PMCPMC10498076
OpenAlexW4384926093

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.