Evidence map›Paper›PMID 27875590›Full record

Trial reportPloS one2016

Spatio-Temporal Progression of Cortical Activity Related to Continuous Overt and Covert Speech Production in a Reading Task.

Jonathan S Brumberg, Dean J Krusienski, Shreya Chakrabarti, Aysegul Gunduz, Peter Brunner, Anthony L Ritaccio, Gerwin Schalk

Open access · goldAbstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 71 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Jonathan S BrumbergDepartment of Speech-Language-Hearing: Sciences & Disorders, University of Kansas, Lawrence, KS, United States of America.
Dean J KrusienskiDepartment of Electrical & Computer Engineering, Old Dominion University, Norfolk, VA, United States of America.
Shreya ChakrabartiDepartment of Electrical & Computer Engineering, Old Dominion University, Norfolk, VA, United States of America.
Aysegul GunduzJ. Crayton Pruitt Family Dept. of Biomedical Engineering, University of Florida, Gainesville, FL, United States of America.
Peter BrunnerNational Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health, Albany, NY, United States of America.
Anthony L RitaccioDepartment of Neurology, Albany Medical College, Albany, NY, United States of America.
Gerwin SchalkNational Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health, Albany, NY, United States of America.
Albany Medical Center Hospital · USOld Dominion University · USNew York State Department of Health · USUniversity of Florida · USUniversity of Kansas · US

Funding

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
Using PCORnet to Expand the DS-CONNECT Cohort Through Healthcare System Recruitment, Incorporating Electronic Health Records, and Assessing Self-DeterminationU54HD090216 · NICHD · UNIVERSITY OF KANSAS LAWRENCE · PI COLOMBO, JOHN A. · 2016 to 2020
$6.2M
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
NIBIB NIH HHS P41 EB018783NIBIB NIH HHS R01 EB000856NIBIB NIH HHS R01 EB006356NICHD NIH HHS U54 HD090216NIDCD NIH HHS R03 DC011304
6 · The paper itself

Abstract

How the human brain plans, executes, and monitors continuous and fluent speech has remained largely elusive. For example, previous research has defined the cortical locations most important for different aspects of speech function, but has not yet yielded a definition of the temporal progression of involvement of those locations as speech progresses either overtly or covertly. In this paper, we uncovered the spatio-temporal evolution of neuronal population-level activity related to continuous overt speech, and identified those locations that shared activity characteristics across overt and covert speech. Specifically, we asked subjects to repeat continuous sentences aloud or silently while we recorded electrical signals directly from the surface of the brain (electrocorticography (ECoG)). We then determined the relationship between cortical activity and speech output across different areas of cortex and at sub-second timescales. The results highlight a spatio-temporal progression of cortical involvement in the continuous speech process that initiates utterances in frontal-motor areas and ends with the monitoring of auditory feedback in superior temporal gyrus. Direct comparison of cortical activity related to overt versus covert conditions revealed a common network of brain regions involved in speech that may implement orthographic and phonological processing. Our results provide one of the first characterizations of the spatiotemporal electrophysiological representations of the continuous speech process, and also highlight the common neural substrate of overt and covert speech. These results thereby contribute to a refined understanding of speech functions in the human brain.

Indexed as

ElectrocorticographyReadingAdultCerebral CortexFemaleHumansMaleMiddle AgedSpeech

Identifiers

PMID27875590
PMCPMC5119784
OpenAlexW2552318115

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.