Evidence map›Paper›PMID 34311190›Full record

ArticleHearing research2021

Speech-Driven Spectrotemporal Receptive Fields Beyond the Auditory Cortex.

Jonathan H Venezia, Virginia M Richards, Gregory Hickok

Open access · greenAbstract read
In one paragraph

Article in Hearing research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. DIVA Meets EEG: Model Validation Using Formant-Shift Reflex.Applied sciences (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A Neurosurgical Functional Dissection of the Middle Precentral Gyrus during Speech Production.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Review
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 at 2 institutions in 1 country.

Jonathan H VeneziaVA Loma Linda Healthcare System, Loma Linda, CA, United States; Dept. of Otolaryngology, Loma Linda University School of Medicine, Loma Linda, CA, United States. Electronic address: jonathan.venezia@va.gov.
Virginia M RichardsDepts. of Cognitive Sciences and Language Science, University of California, Irvine, Irvine, CA, United States.
Gregory HickokDepts. of Cognitive Sciences and Language Science, University of California, Irvine, Irvine, CA, United States.
University of California, Irvine · USLoma Linda University · US

Funding

NEUROBIOLOGY OF LANGUAGE PERCEPTION--FMRI INVESTIGATIONSR01DC003681 · NIDCD · UNIVERSITY OF CALIFORNIA-IRVINE · PI HICKOK, GREGORY · 1999 to 2015
$6.9M
Integrative Functions of the Planum TemporaleR01DC009659 · NIDCD · UNIVERSITY OF CALIFORNIA-IRVINE · PI HICKOK, GREGORY, SABERI, KOUROSH · 2009 to 2020
$5.1M
Rapid Measurement of Routinely Estimated Psychophysical FunctionsR21DC013406 · NIDCD · UNIVERSITY OF CALIFORNIA-IRVINE · PI RICHARDS, VIRGINIA M, SHEN, YI · 2014 to 2015
$230k
Interactive Effects of Aging and Blast Exposure on Central Auditory SystemIK2RX002702 · VA · VA LOMA LINDA HEALTHCARE SYSTEM · PI VENEZIA, JONATHAN HENRY · 2018 to 2023
–
NIDCD NIH HHS R01 DC003681NIDCD NIH HHS R01 DC009659NIDCD NIH HHS R21 DC013406RRD VA IK2 RX002702
6 · The paper itself

Abstract

We recently developed a method to estimate speech-driven spectrotemporal receptive fields (STRFs) using fMRI. The method uses spectrotemporal modulation filtering, a form of acoustic distortion that renders speech sometimes intelligible and sometimes unintelligible. Using this method, we found significant STRF responses only in classic auditory regions throughout the superior temporal lobes. However, our analysis was not optimized to detect small clusters of STRFs as might be expected in non-auditory regions. Here, we re-analyze our data using a more sensitive multivariate statistical test for cross-subject alignment of STRFs, and we identify STRF responses in non-auditory regions including the left dorsal premotor cortex (dPM), left inferior frontal gyrus (IFG), and bilateral calcarine sulcus (calcS). All three regions responded more to intelligible than unintelligible speech, but left dPM and calcS responded significantly to vocal pitch and demonstrated strong functional connectivity with early auditory regions. Left dPM's STRF generated the best predictions of activation on trials rated as unintelligible by listeners, a hallmark auditory profile. IFG, on the other hand, responded almost exclusively to intelligible speech and was functionally connected with classic speech-language regions in the superior temporal sulcus and middle temporal gyrus. IFG's STRF was also (weakly) able to predict activation on unintelligible trials, suggesting the presence of a partial 'acoustic trace' in the region. We conclude that left dPM is part of the human dorsal laryngeal motor cortex, a region previously shown to be capable of operating in an 'auditory mode' to encode vocal pitch. Further, given previous observations that IFG is involved in syntactic working memory and/or processing of linear order, we conclude that IFG is part of a higher-order speech circuit that exerts a top-down influence on processing of speech acoustics. Finally, because calcS is modulated by emotion, we speculate that changes in the quality of vocal pitch may have contributed to its response.

Indexed as

Auditory CortexSpeech PerceptionAcoustic StimulationBrain MappingHumansMagnetic Resonance ImagingSpeechFmriPitchPremotorSpectrotemporal modulationsSpeech IntelligibilitySTRF

Identifiers

PMID34311190
PMCPMC8378265
OpenAlexW3182724393

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.