Evidence map›Paper›PMID 25759647›Full record

ArticleFrontiers in human neuroscience2015

Electrocorticographic representations of segmental features in continuous speech.

Fabien Lotte, Jonathan S Brumberg, Peter Brunner, Aysegul Gunduz, Anthony L Ritaccio, Cuntai Guan, Gerwin Schalk

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 88 citations in OpenAlex.

  1. Trial
  2. Article
  3. [Study on speech imagery electroencephalography decoding of Chinese words based on the CAM-Net model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. [Key technology of brain-computer interaction based on speech imagery].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
  9. Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.Journal of the Association for Research in Otolaryngology : JARO · 2022
    Review
  10. Brain-Computer Interface: Applications to Speech Decoding and Synthesis to Augment Communication.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Low-Frequency Oscillations Code Speech during Verbal Working Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  18. Article
  19. Article
  20. Subthalamic Nucleus and Sensorimotor Cortex Activity During Speech Production.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    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 5 institutions in 2 countries.

Fabien LotteInria Bordeaux Sud-Ouest/LaBRI Talence, France.
Jonathan S BrumbergDepartment of Speech-Language-Hearing, University of Kansas Lawrence, KS, USA.
Peter BrunnerNational Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health Albany, NY, USA ; Department of Neurology, Albany Medical College Albany, NY, USA.
Aysegul GunduzJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida Gainesville, FL, USA.
Anthony L RitaccioDepartment of Neurology, Albany Medical College Albany, NY, USA.
Cuntai GuanASTAR Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore Singapore.
Gerwin SchalkNational Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health Albany, NY, USA ; Department of Neurology, Albany Medical College Albany, NY, USA.
Albany Medical Center Hospital · USLaboratoire Bordelais de Recherche en Informatique · FRNew York State Department of Health · USUniversity of Florida · USUniversity of Kansas · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Training and DisseminationP41EB018783 · NIBIB · WADSWORTH CENTER · PI Jonathan Saul Carp · 2014 to 2026
$15.4M
GENERAL PURPOSE BRAIN-COMPUTER INTERFACE(BCI)SYSTEMR01EB000856 · NIBIB · WADSWORTH CENTER · PI SCHALK, GERWIN, WOLPAW, JONATHAN RICKEL · 2002 to 2012
$9.3M
Participant Recruitment and ManagementP30DC005803 · NIDCD · UNIVERSITY OF KANSAS LAWRENCE · PI RICE, MABEL L · 2002 to 2016
$5.8M
Together: Transforming and Translating Discovery to Improve HealthKL2TR001429 · NCATS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W, LEEUWENBURGH, CHRISTIAAN · 2015 to 2023
$5.5M
BCI2000: SOFTWARE FOR BRAIN-COMPUTER INTERFACE RESEARCHR01EB006356 · NIBIB · WADSWORTH CENTER · PI SCHALK, GERWIN · 2006 to 2009
$1.3M
Investigating output modality for a brain-computer interface for communicationR03DC011304 · NIDCD · UNIVERSITY OF KANSAS LAWRENCE · PI BRUMBERG, JONATHAN S · 2011 to 2013
$439k
NCATS NIH HHS KL2 TR001429NCATS NIH HHS UL1 TR001427NIBIB NIH HHS P41 EB018783NIBIB NIH HHS R01 EB000856NIBIB NIH HHS R01 EB006356NIDCD NIH HHS P30 DC005803NIDCD NIH HHS R03 DC011304
6 · The paper itself

Abstract

Acoustic speech output results from coordinated articulation of dozens of muscles, bones and cartilages of the vocal mechanism. While we commonly take the fluency and speed of our speech productions for granted, the neural mechanisms facilitating the requisite muscular control are not completely understood. Previous neuroimaging and electrophysiology studies of speech sensorimotor control has typically concentrated on speech sounds (i.e., phonemes, syllables and words) in isolation; sentence-length investigations have largely been used to inform coincident linguistic processing. In this study, we examined the neural representations of segmental features (place and manner of articulation, and voicing status) in the context of fluent, continuous speech production. We used recordings from the cortical surface [electrocorticography (ECoG)] to simultaneously evaluate the spatial topography and temporal dynamics of the neural correlates of speech articulation that may mediate the generation of hypothesized gestural or articulatory scores. We found that the representation of place of articulation involved broad networks of brain regions during all phases of speech production: preparation, execution and monitoring. In contrast, manner of articulation and voicing status were dominated by auditory cortical responses after speech had been initiated. These results provide a new insight into the articulatory and auditory processes underlying speech production in terms of their motor requirements and acoustic correlates.

Indexed as

electrocorticography (ECoG)manner of articulationplace of articulationspeech processingvoicing

Identifiers

PMID25759647
PMCPMC4338752
OpenAlexW2010958885

What OpenQuestion holds

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LicenceCC BY
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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.