Evidence map›Paper›PMID 38857268›Full record

ArticlePloS one2024

Individual differences in working memory impact the trajectory of non-native speech category learning.

Casey L Roark, Giorgio Paulon, Giovanni Rebaudo, Jacie R McHaney, Abhra Sarkar, Bharath Chandrasekaran

Abstract read
In one paragraph

Article in PloS one, 2024. 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. Article
  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

6 authors.

Casey L RoarkCommunication Science & Disorders, University of Pittsburgh, Pittsburgh, PA, United States of America.ORCID 0000-0001-5642-8784
Giorgio PaulonStatistics and Data Sciences, University of Texas at Austin, Austin, TX, United States of America.
Giovanni RebaudoStatistics and Data Sciences, University of Texas at Austin, Austin, TX, United States of America.
Jacie R McHaneyCommunication Science & Disorders, University of Pittsburgh, Pittsburgh, PA, United States of America.ORCID 0000-0002-1148-4018
Abhra SarkarStatistics and Data Sciences, University of Texas at Austin, Austin, TX, United States of America.
Bharath ChandrasekaranCommunication Science & Disorders, University of Pittsburgh, Pittsburgh, PA, United States of America.ORCID 0000-0002-3673-9435

Funding

Supplement to cortical contributions to frequency-following response generation and modulationR01DC013315 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI ABEL, TAYLOR JOHN, CHANDRASEKARAN, BHARATH · 2014 to 2025
$5.5M
Training in Auditory and Vestibular NeuroscienceT32DC011499 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Karl Kandler, BILL J YATES · 2011 to 2026
$3.0M
Neural Systems in Auditory and Speech CategorizationR01DC015504 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI CHANDRASEKARAN, BHARATH · 2017 to 2021
$2.3M
Shared and specific mechanisms of auditory and visual category learningF32DC018979 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROARK, CASEY L · 2020 to 2021
$131k
NIDCD NIH HHS F32 DC018979NIDCD NIH HHS R01 DC013315NIDCD NIH HHS R01 DC015504NIDCD NIH HHS T32 DC011499
6 · The paper itself

Abstract

What is the role of working memory over the course of non-native speech category learning? Prior work has predominantly focused on how working memory might influence learning assessed at a single timepoint. Here, we substantially extend this prior work by examining the role of working memory on speech learning performance over time (i.e., over several months) and leverage a multifaceted approach that provides key insights into how working memory influences learning accuracy, maintenance of knowledge over time, generalization ability, and decision processes. We found that the role of working memory in non-native speech learning depends on the timepoint of learning and whether individuals learned the categories at all. Among learners, across all stages of learning, working memory was associated with higher accuracy as well as faster and slightly more cautious decision making. Further, while learners and non-learners did not have substantially different working memory performance, learners had faster evidence accumulation and more cautious decision thresholds throughout all sessions. Working memory may enhance learning by facilitating rapid category acquisition in initial stages and enabling faster and slightly more careful decision-making strategies that may reduce the overall effort needed to learn. Our results have important implications for developing interventions to improve learning in naturalistic language contexts.

Indexed as

IndividualityLearningMemory, Short-TermSpeechAdultDecision MakingFemaleHumansLanguageMaleYoung Adult

Identifiers

PMID38857268
PMCPMC11164376

What OpenQuestion holds

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LicenceCC BY
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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.