Evidence map›Paper›PMID 37739786›Full record

ArticleeNeuro2023

Lateralization and Time-Course of Cortical Phonological Representations during Syllable Production.

Andrew Meier, Scott Kuzdeba, Liam Jackson, Ayoub Daliri, Jason A Tourville, Frank H Guenther, Jeremy D W Greenlee

Open access · goldAbstract read
In one paragraph

Article in eNeuro, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Andrew MeierDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215 amsmeier@bu.edu.ORCID 0000-0002-2125-4179
Scott KuzdebaGraduate Program for Neuroscience, Boston University, Boston, MA 02215.
Liam JacksonDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215.
Ayoub DaliriDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215.
Jason A TourvilleDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215.
Frank H GuentherDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215.
Jeremy D W GreenleeDepartment of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242.ORCID 0000-0002-8481-8517
Boston University · USUniversity of Iowa Hospitals and Clinics · US

Funding

Sequencing and Initiation in Speech ProductionR01DC007683 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FRANK H GUENTHER · 2006 to 2026
$9.0M
NEURAL MODELING AND IMAGING OF SPEECHR01DC002852 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GUENTHER, FRANK H · 2001 to 2020
$7.2M
Advanced Research Training in Communication Sciences and DisordersT32DC013017 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Cara E. Stepp · 2016 to 2026
$4.9M
Cortical Dynamics Underlying Interactive Language UseR01DC019354 · NIDCD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LONG, MICHAEL A · 2021 to 2025
$3.2M
Neural mechanisms of vocal communication in the human brainR01DC015260 · NIDCD · UNIVERSITY OF IOWA · PI GREENLEE, JEREMY · 2016 to 2021
$2.6M
NIDCD NIH HHS R01 DC002852NIDCD NIH HHS R01 DC007683NIDCD NIH HHS R01 DC015260NIDCD NIH HHS R01 DC019354NIDCD NIH HHS T32 DC013017
6 · The paper itself

Abstract

Spoken language contains information at a broad range of timescales, from phonetic distinctions on the order of milliseconds to semantic contexts which shift over seconds to minutes. It is not well understood how the brain's speech production systems combine features at these timescales into a coherent vocal output. We investigated the spatial and temporal representations in cerebral cortex of three phonological units with different durations: consonants, vowels, and syllables. Electrocorticography (ECoG) recordings were obtained from five participants while speaking single syllables. We developed a novel clustering and Kalman filter-based trend analysis procedure to sort electrodes into temporal response profiles. A linear discriminant classifier was used to determine how strongly each electrode's response encoded phonological features. We found distinct time-courses of encoding phonological units depending on their duration: consonants were represented more during speech preparation, vowels were represented evenly throughout trials, and syllables during production. Locations of strongly speech-encoding electrodes (the top 30% of electrodes) likewise depended on phonological element duration, with consonant-encoding electrodes left-lateralized, vowel-encoding hemispherically balanced, and syllable-encoding right-lateralized. The lateralization of speech-encoding electrodes depended on onset time, with electrodes active before or after speech production favoring left hemisphere and those active during speech favoring the right. Single-electrode speech classification revealed cortical areas with preferential encoding of particular phonemic elements, including consonant encoding in the left precentral and postcentral gyri and syllable encoding in the right middle frontal gyrus. Our findings support neurolinguistic theories of left hemisphere specialization for processing short-timescale linguistic units and right hemisphere processing of longer-duration units.

Indexed as

Cerebral CortexSpeech PerceptionElectrocorticographyFrontal LobeHumansPhoneticsSpeechauditionclusteringelectrocorticographyhemispheresmotor controlspeech

Identifiers

PMID37739786
PMCPMC10561542
OpenAlexW4386952234

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.