Evidence map›Paper›PMID 29535043›Full record

ArticleNeurobiology of learning and memory2018

Training-induced brain activation and functional connectivity differentiate multi-talker and single-talker speech training.

Zhizhou Deng, Bharath Chandrasekaran, Suiping Wang, Patrick C M Wong

Abstract read
In one paragraph

Article in Neurobiology of learning and memory, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

4 authors.

Zhizhou DengDepartment of Applied Psychology, Guangdong University of Finance and Economics, Guangzhou 510320, China; Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong. Electronic address: zhizhoupsy@gdufe.edu.cn.
Bharath ChandrasekaranDepartment of Communication Sciences and Disorders, Moody College of Communication, The University of Texas at Austin, Austin, TX 78712, United States; Department of Psychology, College of Liberal Arts, The University of Texas at Austin, Austin, TX 78712, United States; Department of Linguistics, College of Liberal Arts, The University of Texas at Austin, Austin, TX 78712, United States; Institute of Mental Health Research, College of Liberal Arts, The University of Texas at Austin, Austin, TX 78712, United States; Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: bchandra@utexas.edu.
Suiping WangCenter for the Study of Applied Psychology and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China. Electronic address: wangsuiping@m.scnu.edu.cn.
Patrick C M WongDepartment of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong; Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong. Electronic address: p.wong@cuhk.edu.hk.

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
Behavioral and Neurologic Factors in Speech LearningR01DC008333 · NIDCD · NORTHWESTERN UNIVERSITY · PI WONG, PATRICK C M · 2008 to 2012
$1.8M
NIDCD NIH HHS R01 DC008333NIDCD NIH HHS R01 DC013315
6 · The paper itself

Abstract

In second language acquisition studies, the high talker variability training approach has been frequently used to train participants to learn new speech patterns. However, the neuroplasticity induced by training is poorly understood. In the present study, native English speakers were trained on non-native pitch patterns (linguistic tones from Mandarin Chinese) in multi-talker (N = 16) or single-talker (N = 16) training conditions. We focused on two aspects of multi-talker training, voice processing and lexical phonology accessing, and used functional magnetic resonance imaging (fMRI) to measure the brain activation and functional connectivity (FC) of two regions of interest in a tone identification task conducted before and after training, namely the anterior part of the right superior temporal gyrus (aRSTG) and the posterior left superior temporal gyrus (pLSTG). The results showed distinct patterns of associations between neural signals and learning success for multi-talker training. Specifically, post-training brain activation in the aRSTG and FC strength between the aRSTG and pLSTG were correlated with learning success in the multi-talker training group but not in the single-talker group. These results suggest that talker variability in the training procedure may enhance neural efficiency in these brain areas and strengthen the cooperation between them. Our findings highlight the brain processing of newly learned speech patterns is influenced by the given training approach.

Indexed as

MultilingualismAdultBrainBrain MappingFemaleHumansLearningMagnetic Resonance ImagingMaleNeural PathwaysPhoneticsPitch PerceptionSpeechSpeech PerceptionYoung AdultfMRIFunctional connectivityIndividual differencesSpeech learningTalker variabilityVoice

Identifiers

PMID29535043
PMCPMC5953817

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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.