Evidence map›Paper›PMID 22537600›Full record

ArticleNeuroImage2012

Dynamics of electrocorticographic (ECoG) activity in human temporal and frontal cortical areas during music listening.

Cristhian Potes, Aysegul Gunduz, Peter Brunner, Gerwin Schalk

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 52 citations in OpenAlex.

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  6. Neural Correlates of Music Listening and Recall in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
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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

4 authors at 1 institution in 2 countries.

Cristhian PotesBCI R&D Program, Wadsworth Center, New York State Department of Health, Albany, NY 12201, USA. cmpotes@gmail.com
Aysegul Gunduz
Peter Brunner
Gerwin Schalk
New York State Department of Health · US

Funding

GENERAL PURPOSE BRAIN-COMPUTER INTERFACE(BCI)SYSTEMR01EB000856 · NIBIB · WADSWORTH CENTER · PI SCHALK, GERWIN, WOLPAW, JONATHAN RICKEL · 2002 to 2012
$9.3M
BCI2000: SOFTWARE FOR BRAIN-COMPUTER INTERFACE RESEARCHR01EB006356 · NIBIB · WADSWORTH CENTER · PI SCHALK, GERWIN · 2006 to 2009
$1.3M
NIBIB NIH HHS EB000856NIBIB NIH HHS EB006356NIBIB NIH HHS R01 EB000856NIBIB NIH HHS R01 EB006356
6 · The paper itself

Abstract

Previous studies demonstrated that brain signals encode information about specific features of simple auditory stimuli or of general aspects of natural auditory stimuli. How brain signals represent the time course of specific features in natural auditory stimuli is not well understood. In this study, we show in eight human subjects that signals recorded from the surface of the brain (electrocorticography (ECoG)) encode information about the sound intensity of music. ECoG activity in the high gamma band recorded from the posterior part of the superior temporal gyrus as well as from an isolated area in the precentral gyrus was observed to be highly correlated with the sound intensity of music. These results not only confirm the role of auditory cortices in auditory processing but also point to an important role of premotor and motor cortices. They also encourage the use of ECoG activity to study more complex acoustic features of simple or natural auditory stimuli.

Indexed as

Brain MappingMusicAcoustic StimulationAdultAuditory PerceptionElectrodes, ImplantedElectroencephalographyEpilepsyFemaleFrontal LobeHumansMaleMiddle AgedTemporal LobeYoung Adult

Identifiers

PMID22537600
PMCPMC3376242
OpenAlexW2015578534

What OpenQuestion holds

Textmetadata
LicenceTDM
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.