Evidence map›Paper›PMID 35900975›Full record

ArticlePLoS biology2022

Neural responses in human superior temporal cortex support coding of voice representations.

Kyle Rupp, Jasmine L Hect, Madison Remick, Avniel Ghuman, Bharath Chandrasekaran, Lori L Holt, Taylor J Abel

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Kyle RuppDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Jasmine L HectDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0003-2562-2394
Madison RemickDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Avniel GhumanDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Bharath ChandrasekaranDepartment of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Lori L HoltDepartment of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Taylor J AbelDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
University of Pittsburgh · USCarnegie Mellon University · US

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
Flexible representation of speech in the supratemporal plane.R21DC019217 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ABEL, TAYLOR JOHN, HOLT, LORI L · 2021 to 2022
$524k
Intracranial Electrophysiology & Anatomical Connectivity of Voice-Selective Auditory CortexF30DC021342 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jasmine Leah Hect · 2023 to 2026
$208k
NIDCD NIH HHS F30 DC021342NIDCD NIH HHS R01 DC013315NIDCD NIH HHS R21 DC019217
6 · The paper itself

Abstract

The ability to recognize abstract features of voice during auditory perception is an intricate feat of human audition. For the listener, this occurs in near-automatic fashion to seamlessly extract complex cues from a highly variable auditory signal. Voice perception depends on specialized regions of auditory cortex, including superior temporal gyrus (STG) and superior temporal sulcus (STS). However, the nature of voice encoding at the cortical level remains poorly understood. We leverage intracerebral recordings across human auditory cortex during presentation of voice and nonvoice acoustic stimuli to examine voice encoding at the cortical level in 8 patient-participants undergoing epilepsy surgery evaluation. We show that voice selectivity increases along the auditory hierarchy from supratemporal plane (STP) to the STG and STS. Results show accurate decoding of vocalizations from human auditory cortical activity even in the complete absence of linguistic content. These findings show an early, less-selective temporal window of neural activity in the STG and STS followed by a sustained, strongly voice-selective window. Encoding models demonstrate divergence in the encoding of acoustic features along the auditory hierarchy, wherein STG/STS responses are best explained by voice category and acoustics, as opposed to acoustic features of voice stimuli alone. This is in contrast to neural activity recorded from STP, in which responses were accounted for by acoustic features. These findings support a model of voice perception that engages categorical encoding mechanisms within STG and STS to facilitate feature extraction.

Indexed as

Auditory CortexSpeech PerceptionVoiceAcoustic StimulationAuditory PerceptionBrain MappingHumansMagnetic Resonance ImagingTemporal Lobe

Identifiers

PMID35900975
PMCPMC9333263
OpenAlexW4288441748

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.