Evidence map›Paper›PMID 39461704›Full record

ArticleNeuroscience letters2024

Does pre-speech auditory modulation reflect processes related to feedback monitoring or speech movement planning?

Joanne Jingwen Li, Ayoub Daliri, Kwang S Kim, Ludo Max

Abstract read
In one paragraph

Article in Neuroscience letters, 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. Auditory-Motor Mechanisms of the Lombard Effect.Journal of speech, language, and hearing research : JSLHR · 2026
    Article
  2. Article
  3. Neurophysiological Evidence of Sensory Prediction Errors Driving Speech Sensorimotor Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Joanne Jingwen LiDepartment of Speech and Hearing Sciences, University of Washington, 1417 NE 42nd Street, Seattle, WA 98105-6246, United States. Electronic address: joanneli@uw.edu.
Ayoub DaliriCollege of Health Solutions, Arizona State University, 975 S Myrtle Ave., Tempe, AZ 85287, United States. Electronic address: Ayoub.Daliri@asu.edu.
Kwang S KimDepartment of Speech, Language, and Hearing Sciences, Purdue University, 715 Clinic Drive, West Lafayette, IN 47907-2122, United States. Electronic address: kwangkim@purdue.edu.
Ludo MaxDepartment of Speech and Hearing Sciences, University of Washington, 1417 NE 42nd Street, Seattle, WA 98105-6246, United States. Electronic address: ludomax@uw.edu.

Funding

Auditory prediction and error evaluation in the speech of individuals who stutterR01DC020162 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Ayoub Daliri · 2023 to 2026
$2.2M
Behavioral and neural characteristics of adaptive speech motor controlR01DC020707 · NIDCD · UNIVERSITY OF WASHINGTON · PI LUDO MAX · 2023 to 2026
$2.0M
Improving speech motor learning processes using augmented behavioral interventionsR01DC019905 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Ayoub Daliri · 2022 to 2026
$1.8M
Dynamic bidirectional sensorimotor interactions in stutteringR01DC017444 · NIDCD · UNIVERSITY OF WASHINGTON · PI MAX, LUDO · 2019 to 2023
$1.6M
Adaptive sensorimotor learning in speech productionR01DC014510 · NIDCD · UNIVERSITY OF WASHINGTON · PI MAX, LUDO · 2015 to 2019
$1.5M
NIDCD NIH HHS R01 DC014510NIDCD NIH HHS R01 DC017444NIDCD NIH HHS R01 DC019905NIDCD NIH HHS R01 DC020162NIDCD NIH HHS R01 DC020707
6 · The paper itself

Abstract

Previous studies have revealed that auditory processing is modulated during the planning phase immediately prior to speech onset. To date, the functional relevance of this pre-speech auditory modulation (PSAM) remains unknown. Here, we investigated whether PSAM reflects neuronal processes that are associated with preparing auditory cortex for optimized feedback monitoring as reflected in online speech corrections. Combining electroencephalographic PSAM data from a previous data set with new acoustic measures of the same participants' speech, we asked whether individual speakers' extent of PSAM is correlated with the implementation of within-vowel articulatory adjustments during /b/-vowel-/d/ word productions. Online articulatory adjustments were quantified as the extent of change in inter-trial formant variability from vowel onset to vowel midpoint (a phenomenon known as centering). This approach allowed us to also consider inter-trial variability in formant production, and its possible relation to PSAM, at vowel onset and midpoint separately. Results showed that inter-trial formant variability was significantly smaller at vowel midpoint than at vowel onset. PSAM was not significantly correlated with this amount of change in variability as an index of within-vowel adjustments. Surprisingly, PSAM was negatively correlated with inter-trial formant variability not only in the middle but also at the very onset of the vowels. Thus, speakers with more PSAM produced formants that were already less variable at vowel onset. Findings suggest that PSAM may reflect processes that influence speech acoustics as early as vowel onset and, thus, that are directly involved in motor command preparation (feedforward control) rather than output monitoring (feedback control).

Indexed as

ElectroencephalographySpeechSpeech PerceptionAcoustic StimulationAdultAuditory CortexAuditory PerceptionFemaleHumansMaleMovementYoung AdultAuditory cortexFeedback controlFeedforward controlMovement planningSensorimotor controlSensorimotor integrationSpeech

Identifiers

PMID39461704
PMCPMC11707600

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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.