Evidence map›Paper›PMID 25352799›Full record

ArticleFrontiers in human neuroscience2014

ECoG high gamma activity reveals distinct cortical representations of lyrics passages, harmonic and timbre-related changes in a rock song.

Irene Sturm, Benjamin Blankertz, Cristhian Potes, Gerwin Schalk, Gabriel Curio

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Trial
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  8. Review
  9. Article
  10. Neural Correlates of Music Listening and Recall in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  11. Review
  12. Article
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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

5 authors.

Irene SturmBerlin School of Mind and Brain, Humboldt Universität zu Berlin Berlin, Germany ; Neurotechnology Group, Department of Electrical Engineering and Computer Science, Berlin Institute of Technology Berlin, Germany ; Neurophysics Group, Department of Neurology and Clinical Neurophysiology, Charité - University Medicine Berlin Berlin, Germany.
Benjamin BlankertzNeurotechnology Group, Department of Electrical Engineering and Computer Science, Berlin Institute of Technology Berlin, Germany ; Bernstein Focus: Neurotechnology Berlin, Germany.
Cristhian PotesNational Resource Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health Albany, NY, USA ; Department of Electrical and Computer Engineering, University of Texas at El Paso El Paso, TX, USA.
Gerwin SchalkNational Resource Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health Albany, NY, USA ; Department of Electrical and Computer Engineering, University of Texas at El Paso El Paso, TX, USA ; Department of Neurosurgery, Washington University in St. Louis St. Louis, MO, USA ; Department of Biomedical Engineering, Rensselaer Polytechnic Institute Troy, NY, USA ; Department of Neurology, Albany Medical College Albany, NY, USA ; Department of Neurosurgery, Washington University in St. Louis St. Louis, MO, USA.
Gabriel CurioBerlin School of Mind and Brain, Humboldt Universität zu Berlin Berlin, Germany ; Neurophysics Group, Department of Neurology and Clinical Neurophysiology, Charité - University Medicine Berlin Berlin, Germany ; Bernstein Focus: Neurotechnology Berlin, Germany.

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
BCI2000: SOFTWARE FOR BRAIN-COMPUTER INTERFACE RESEARCHR01EB006356 · NIBIB · WADSWORTH CENTER · PI SCHALK, GERWIN · 2006 to 2009
$1.3M
NIBIB NIH HHS P41 EB018783NIBIB NIH HHS R01 EB000856NIBIB NIH HHS R01 EB006356
6 · The paper itself

Abstract

Listening to music moves our minds and moods, stirring interest in its neural underpinnings. A multitude of compositional features drives the appeal of natural music. How such original music, where a composer's opus is not manipulated for experimental purposes, engages a listener's brain has not been studied until recently. Here, we report an in-depth analysis of two electrocorticographic (ECoG) data sets obtained over the left hemisphere in ten patients during presentation of either a rock song or a read-out narrative. First, the time courses of five acoustic features (intensity, presence/absence of vocals with lyrics, spectral centroid, harmonic change, and pulse clarity) were extracted from the audio tracks and found to be correlated with each other to varying degrees. In a second step, we uncovered the specific impact of each musical feature on ECoG high-gamma power (70-170 Hz) by calculating partial correlations to remove the influence of the other four features. In the music condition, the onset and offset of vocal lyrics in ongoing instrumental music was consistently identified within the group as the dominant driver for ECoG high-gamma power changes over temporal auditory areas, while concurrently subject-individual activation spots were identified for sound intensity, timbral, and harmonic features. The distinct cortical activations to vocal speech-related content embedded in instrumental music directly demonstrate that song integrated in instrumental music represents a distinct dimension in complex music. In contrast, in the speech condition, the full sound envelope was reflected in the high gamma response rather than the onset or offset of the vocal lyrics. This demonstrates how the contributions of stimulus features that modulate the brain response differ across the two examples of a full-length natural stimulus, which suggests a context-dependent feature selection in the processing of complex auditory stimuli.

Indexed as

acoustic featureselectrocorticography (ECoG)high gammamusic processingnatural music

Identifiers

PMID25352799
PMCPMC4195312

What OpenQuestion holds

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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.