Evidence map›Paper›PMID 41461641›Full record

ArticleNature communications2025

Parallel encoding of speech in human frontal and temporal lobes.

Patrick W Hullett, Matthew K Leonard, Maria Luisa Gorno-Tempini, Maria Luisa Mandelli, Edward F Chang

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Patrick W HullettDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Matthew K LeonardWeill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-8530-880X
Maria Luisa Gorno-TempiniDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Maria Luisa MandelliDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Edward F ChangWeill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA. edward.chang@ucsf.edu.ORCID http://orcid.org/0000-0003-2480-4700

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Progressive Aphasia Cognition Anatomy and ProgressionR01NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARIA LUISA GORNO TEMPINI · 2004 to 2026
$11.0M
NRSA Training CoreTL1TR001871 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SOMSOUK, MA · 2016 to 2025
$10.1M
Functional organization of the superior temporal gyrus for speech perceptionR01DC012379 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Edward Chang · 2012 to 2026
$8.3M
The neural coding of speech across human languagesU01NS117765 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHANG, EDWARD · 2020 to 2024
$6.5M
Primary Progressive Aphasia: Cognition, Anatomy and ProgressionRF1NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2022 to 2022
$4.7M
Training program in the neurology of language and neurodegenerative aphasiasK24DC015544 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2016 to 2025
$1.9M
Primary Progessive Aphasia: Cognition, Anatomy and ProgressionR56NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2008 to 2008
$315k
NCATS NIH HHS TL1 TR001871NIA NIH HHS P01 AG019724NIDCD NIH HHS K24 DC015544NIDCD NIH HHS R01 DC012379NINDS NIH HHS R01 NS050915NINDS NIH HHS R56 NS050915NINDS NIH HHS RF1 NS050915NINDS NIH HHS U01 NS117765U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) 5TL1TR001871-05U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) RF1& NS050915U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) P01 & AG019724U.S. Department of Health & Human Services | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) R01-DC012379
6 · The paper itself

Abstract

Models of speech perception are centered around a hierarchy in which auditory representations in the thalamus propagate to primary auditory cortex, then to the lateral temporal cortex, and finally through lateral cortical areas to reach the frontal lobe. However, it is unclear if speech-evoked activity in frontal cortex strictly reflects downstream processing from this hierarchical pathway or whether there are long-range parallel connections from the low-level areas (thalamus, primary auditory cortex) to the frontal lobe. Here, we used high-density direct cortical recordings, high-resolution diffusion tractography, and hemodynamic functional connectivity to evaluate for evidence of direct parallel inputs to frontal cortex from low-level areas. We found that neural populations in the frontal lobe show speech-evoked responses that are synchronous with the shortest-latency responses in the superior temporal gyrus (STG) and encode spectrotemporal speech content indistinguishable from spectrotemporal encoding patterns observed in the STG. Additionally, we find white matter tractography and functional connectivity patterns that connect the auditory nucleus of the thalamus and the primary auditory cortex to the frontal lobe. Together, these results support the existence of robust long-range parallel inputs from low-level auditory areas to apical areas in the frontal lobe of the human speech network.

Indexed as

Frontal LobeSpeechSpeech PerceptionTemporal LobeAcoustic StimulationAdultAuditory CortexBrain MappingDiffusion Tensor ImagingFemaleHumansMaleNeural PathwaysThalamusWhite MatterYoung Adult

Identifiers

PMID41461641
PMCPMC12824166

What OpenQuestion holds

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Registered trials

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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.