Evidence map›Paper›PMID 30535138›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2019

The Role of the Human Auditory Corticostriatal Network in Speech Learning.

Gangyi Feng, Han Gyol Yi, Bharath Chandrasekaran

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Article
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  11. Article
  12. The nature of non-native speech sound representations.The Journal of the Acoustical Society of America · 2022
    Review
  13. Non-sensory Influences on Auditory Learning and Plasticity.Journal of the Association for Research in Otolaryngology : JARO · 2022
    Review
  14. Article
  15. Learning nonnative speech sounds changes local encoding in the adult human cortex.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Neural Fingerprints Underlying Individual Language Learning Profiles.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  17. Article
  18. Article
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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

3 authors.

Gangyi FengDepartment of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong SAR, China.
Han Gyol YiDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94158, USA.
Bharath ChandrasekaranDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA.

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
Neural Systems in Auditory and Speech CategorizationR01DC015504 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI CHANDRASEKARAN, BHARATH · 2017 to 2021
$2.3M
NIDCD NIH HHS R01 DC013315NIDCD NIH HHS R01 DC015504
6 · The paper itself

Abstract

We establish a mechanistic account of how the mature human brain functionally reorganizes to acquire and represent new speech sounds. Native speakers of English learned to categorize Mandarin lexical tone categories produced by multiple talkers using trial-by-trial feedback. We hypothesized that the corticostriatal system is a key intermediary in mediating temporal lobe plasticity and the acquisition of new speech categories in adulthood. We conducted a functional magnetic resonance imaging experiment in which participants underwent a sound-to-category mapping task. Diffusion tensor imaging data were collected, and probabilistic fiber tracking analysis was employed to assay the auditory corticostriatal pathways. Multivariate pattern analysis showed that talker-invariant novel tone category representations emerged in the left superior temporal gyrus (LSTG) within a few hundred training trials. Univariate analysis showed that the putamen, a subregion of the striatum, was sensitive to positive feedback in correctly categorized trials. With learning, functional coupling between the putamen and LSTG increased during error processing. Furthermore, fiber tractography demonstrated robust structural connectivity between the feedback-sensitive striatal regions and the LSTG regions that represent the newly learned tone categories. Our convergent findings highlight a critical role for the auditory corticostriatal circuitry in mediating the acquisition of new speech categories.

Indexed as

LanguageAdolescentAdultAuditory CortexBrain MappingCorpus StriatumFemaleHumansLearningMagnetic Resonance ImagingMaleNeural PathwaysPhoneticsSpeech PerceptionTemporal LobeYoung Adultcorticostriatal systemmulti-modal imagingMVPAspeech category learning

Identifiers

PMID30535138
PMCPMC6931274

What OpenQuestion holds

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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.