Evidence map›Paper›PMID 33776832›Full record

ArticleFrontiers in psychology2021

Behavioral and Neurodynamic Effects of Word Learning on Phonotactic Repair.

David W Gow, Adriana Schoenhaut, Enes Avcu, Seppo P Ahlfors

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2021. 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
0.8field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Neuronal Modeling of Cross-Sensory Visual Evoked Magnetoencephalography Responses in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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

4 authors at 2 institutions in 1 country.

David W GowDepartment of Neurology, Massachusetts General Hospital, Boston, MA, United States.
Adriana SchoenhautDepartment of Neurology, Massachusetts General Hospital, Boston, MA, United States.
Enes AvcuDepartment of Neurology, Massachusetts General Hospital, Boston, MA, United States.
Seppo P AhlforsDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Massachusetts General Hospital · USSalem State University · US

Funding

Non-invasive measures of multisensory cortical feedforward and feedback influencesR01DC016765 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI AHLFORS, SEPPO PENTTI, AHVENINEN, JYRKI · 2018 to 2022
$2.7M
Identifying the neural structures and dynamics that regulate phonological structureR01DC015455 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI AHLFORS, SEPPO PENTTI, GOW, DAVID W · 2017 to 2021
$2.7M
NIDCD NIH HHS R01 DC015455NIDCD NIH HHS R01 DC016765
6 · The paper itself

Abstract

Processes governing the creation, perception and production of spoken words are sensitive to the patterns of speech sounds in the language user's lexicon. Generative linguistic theory suggests that listeners infer constraints on possible sound patterning from the lexicon and apply these constraints to all aspects of word use. In contrast, emergentist accounts suggest that these phonotactic constraints are a product of interactive associative mapping with items in the lexicon. To determine the degree to which phonotactic constraints are lexically mediated, we observed the effects of learning new words that violate English phonotactic constraints (e.g.,

Indexed as

effective connectivityemergencemagnetoencephalographyphonologyphonotacticrulespeech perceptionword learning

Identifiers

PMID33776832
PMCPMC7987836
OpenAlexW3135122827

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.