Evidence map›Paper›PMID 26723103›Full record

ArticleHearing research2016

Acoustic richness modulates the neural networks supporting intelligible speech processing.

Yune-Sang Lee, Nam Eun Min, Arthur Wingfield, Murray Grossman, Jonathan E Peelle

Abstract read
In one paragraph

Article in Hearing research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Executive Function Associations With Audibility-Adjusted Speech Perception in Noise.Journal of speech, language, and hearing research : JSLHR · 2024
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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

5 authors.

Yune-Sang LeeDepartment of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: yslee@mail.med.upenn.edu.
Nam Eun MinDepartment of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA.
Arthur WingfieldVolen National Center for Complex Systems, Brandeis University, Waltham, MA, USA.
Murray GrossmanDepartment of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA.
Jonathan E PeelleDepartment of Otolaryngology, Washington University in St. Louis, St. Louis, MO, USA. Electronic address: peellej@ent.wustl.edu.

Funding

Transgenic Mouse Models of Tau PathologiesP01AG017586 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2000 to 2021
$37.3M
Neural Basis of Generalized QuantifiersR01NS044266 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 2004 to 2014
$6.8M
TDP-43 Proteinopathies in ALS-DementiaP01AG032953 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2010 to 2014
$5.8M
Hearing Acuity, Cognitive Aging, and Memory for SpeechR01AG019714 · NIA · BRANDEIS UNIVERSITY · PI WINGFIELD, ARTHUR · 2002 to 2016
$4.0M
Age, Hearing Loss, and Sentence Comprehension: Neural CorrelatesR01AG038490 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 2012 to 2016
$2.1M
NIA NIH HHS P01 AG017586NIA NIH HHS P01AG017586NIA NIH HHS P01 AG032953NIA NIH HHS P01AG032953NIA NIH HHS R01 AG019714NIA NIH HHS R01AG019714NIA NIH HHS R01 AG038490NIA NIH HHS R01AG038490NINDS NIH HHS R01 NS044266NINDS NIH HHS R01NS044266
6 · The paper itself

Abstract

The information contained in a sensory signal plays a critical role in determining what neural processes are engaged. Here we used interleaved silent steady-state (ISSS) functional magnetic resonance imaging (fMRI) to explore how human listeners cope with different degrees of acoustic richness during auditory sentence comprehension. Twenty-six healthy young adults underwent scanning while hearing sentences that varied in acoustic richness (high vs. low spectral detail) and syntactic complexity (subject-relative vs. object-relative center-embedded clause structures). We manipulated acoustic richness by presenting the stimuli as unprocessed full-spectrum speech, or noise-vocoded with 24 channels. Importantly, although the vocoded sentences were spectrally impoverished, all sentences were highly intelligible. These manipulations allowed us to test how intelligible speech processing was affected by orthogonal linguistic and acoustic demands. Acoustically rich speech showed stronger activation than acoustically less-detailed speech in a bilateral temporoparietal network with more pronounced activity in the right hemisphere. By contrast, listening to sentences with greater syntactic complexity resulted in increased activation of a left-lateralized network including left posterior lateral temporal cortex, left inferior frontal gyrus, and left dorsolateral prefrontal cortex. Significant interactions between acoustic richness and syntactic complexity occurred in left supramarginal gyrus, right superior temporal gyrus, and right inferior frontal gyrus, indicating that the regions recruited for syntactic challenge differed as a function of acoustic properties of the speech. Our findings suggest that the neural systems involved in speech perception are finely tuned to the type of information available, and that reducing the richness of the acoustic signal dramatically alters the brain's response to spoken language, even when intelligibility is high.

Indexed as

Speech AcousticsSpeech IntelligibilitySpeech PerceptionVoice QualityAcousticsAcoustic StimulationAdultAudiometry, SpeechAuditory PathwaysBrain MappingFemaleHumansMagnetic Resonance ImagingMaleNerve NetNoiseAcousticExecutive functionfMRIHearingLanguageListening effortSpeechVocoding

Identifiers

PMID26723103
PMCPMC4798890

What OpenQuestion holds

Textmetadata
LicenceTDM
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.