Evidence map›Paper›PMID 33173474›Full record

ArticleFrontiers in human neuroscience2020

Not All Words Are Equally Acquired: Transitional Probabilities and Instructions Affect the Electrophysiological Correlates of Statistical Learning.

Ana Paula Soares, Francisco-Javier Gutiérrez-Domínguez, Margarida Vasconcelos, Helena M Oliveira, David Tomé, Luis Jiménez

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Ana Paula SoaresHuman Cognition Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal.
Francisco-Javier Gutiérrez-DomínguezHuman Cognition Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal.
Margarida VasconcelosPsychological Neuroscience Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal.
Helena M OliveiraHuman Cognition Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal.
David ToméDepartment of Audiology, School of Health, Polytechnic Institute of Porto, Porto, Portugal.
Luis JiménezDepartment of Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statistical learning (SL), the process of extracting regularities from the environment, is a fundamental skill of our cognitive system to structure the world regularly and predictably. SL has been studied using mainly behavioral tasks under implicit conditions and with triplets presenting the same level of difficulty, i.e., a mean transitional probability (TP) of 1.00. Yet, the neural mechanisms underlying SL under other learning conditions remain largely unknown. Here, we investigated the neurofunctional correlates of SL using triplets (i.e., three-syllable nonsense words) with a mean TP of 1.00 (

Indexed as

artificial languageelectrophysiological correlatesexplicit learningexposure timeimplicit learningstatistical learningtransitional probabilitiesword segmentation

Identifiers

PMID33173474
PMCPMC7538775

What OpenQuestion holds

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Registered trials

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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.