Evidence map›Paper›PMID 35869138›Full record

ArticleScientific data2022

Dataset of Speech Production in intracranial.Electroencephalography.

Maxime Verwoert, Maarten C Ottenhoff, Sophocles Goulis, Albert J Colon, Louis Wagner, Simon Tousseyn, Johannes P van Dijk, Pieter L Kubben, Christian Herff

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  12. Acoustic Inspired Brain-to-Sentence Decoder for Logosyllabic Language.Cyborg and bionic systems (Washington, D.C.) · 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 2 institutions in 2 countries.

Maxime VerwoertDepartment of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands. m.verwoert@maastrichtuniversity.nl.ORCID 0000-0002-7581-2850
Maarten C OttenhoffDepartment of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Sophocles GoulisDepartment of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Albert J ColonAcademic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze, The Netherlands.
Louis WagnerAcademic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze, The Netherlands.
Simon TousseynAcademic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze, The Netherlands.
Johannes P van DijkAcademic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze, The Netherlands.
Pieter L KubbenDepartment of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Christian HerffDepartment of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands. c.herff@maastrichuniversity.nl.ORCID 0000-0002-5610-2618
Maastricht University · NLUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Speech production is an intricate process involving a large number of muscles and cognitive processes. The neural processes underlying speech production are not completely understood. As speech is a uniquely human ability, it can not be investigated in animal models. High-fidelity human data can only be obtained in clinical settings and is therefore not easily available to all researchers. Here, we provide a dataset of 10 participants reading out individual words while we measured intracranial EEG from a total of 1103 electrodes. The data, with its high temporal resolution and coverage of a large variety of cortical and sub-cortical brain regions, can help in understanding the speech production process better. Simultaneously, the data can be used to test speech decoding and synthesis approaches from neural data to develop speech Brain-Computer Interfaces and speech neuroprostheses.

Indexed as

SpeechElectrocorticographyElectroencephalographyHumansReading

Identifiers

PMID35869138
PMCPMC9307753
OpenAlexW4286462232

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.