Evidence map›Paper›PMID 31824257›Full record

ArticleFrontiers in neuroscience2019

Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices.

Christian Herff, Lorenz Diener, Miguel Angrick, Emily Mugler, Matthew C Tate, Matthew A Goldrick, Dean J Krusienski, Marc W Slutzky, Tanja Schultz

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 128 citations in OpenAlex.

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  12. Encoding of speech modes and loudness in ventral precentral gyrus.bioRxiv : the preprint server for biology · 2025
    Article
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  15. Decoding speech intent from non-frontal cortical areas.Journal of neural engineering · 2025
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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

9 authors at 4 institutions in 3 countries.

Christian HerffSchool of Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands.
Lorenz DienerCognitive Systems Lab, University of Bremen, Bremen, Germany.
Miguel AngrickCognitive Systems Lab, University of Bremen, Bremen, Germany.
Emily MuglerDepartment of Neurology, Northwestern University, Chicago, IL, United States.
Matthew C TateDepartment of Neurosurgery, Northwestern University, Chicago, IL, United States.
Matthew A GoldrickDepartment of Linguistics, Northwestern University, Chicago, IL, United States.
Dean J KrusienskiBiomedical Engineering Department, Virginia Commonwealth University, Richmond, VA, United States.
Marc W SlutzkyDepartment of Neurology, Northwestern University, Chicago, IL, United States.
Tanja SchultzCognitive Systems Lab, University of Bremen, Bremen, Germany.
Northwestern University · USUniversity of Bremen · DEMaastricht University · NLVirginia Commonwealth University · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Multidisciplinary Clinical and Translational Science (MCTS) Program (UL1)UL1TR000150 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LLOYD-JONES, DONALD M · 2012 to 2013
$10.1M
Designing brain machine interfaces to drive plasticity and enhance recovery after brain injuryR01NS094748 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DO, AN, SLUTZKY, MARC W. · 2015 to 2019
$2.3M
The Cortical Dynamics of Motor Activity During Speech ProductionF32DC015708 · NIDCD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MUGLER, EMILY M · 2016 to 2016
$53k
NCATS NIH HHS UL1 TR000150NCATS NIH HHS UL1 TR001422NIDCD NIH HHS F32 DC015708NINDS NIH HHS R01 NS094748
6 · The paper itself

Abstract

Neural interfaces that directly produce intelligible speech from brain activity would allow people with severe impairment from neurological disorders to communicate more naturally. Here, we record neural population activity in motor, premotor and inferior frontal cortices during speech production using electrocorticography (ECoG) and show that ECoG signals alone can be used to generate intelligible speech output that can preserve conversational cues. To produce speech directly from neural data, we adapted a method from the field of speech synthesis called unit selection, in which units of speech are concatenated to form audible output. In our approach, which we call

Indexed as

BCIbrain-computer interfacebrain-to-speechECoGspeechsynthesis

Identifiers

PMID31824257
PMCPMC6882773
OpenAlexW2991284028

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.