ArticleFrontiers in human neuroscience2014
ECoG high gamma activity reveals distinct cortical representations of lyrics passages, harmonic and timbre-related changes in a rock song.
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.
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.
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.
Who cites it
19 citing papers in PubMed.
- Spatio-Temporal Progression of Cortical Activity Related to Continuous Overt and Covert Speech Production in a Reading Task.PloS one · 2016Trial
- Modeling the rhythmic complexity of professional drumming with an oscillation-driven reservoir computer.Cognitive neurodynamics · 2026Article
- Anatomically distinct cortical tracking of music and speech by slow (1-8Hz) and fast (70-120Hz) oscillatory activity.PloS one · 2025Article
- Alpha band modulation caused by selective attention to music enables EEG classification.Cognitive neurodynamics · 2024Article
- Music can be reconstructed from human auditory cortex activity using nonlinear decoding models.PLoS biology · 2023Article
- Intraoperative cortical localization of music and language reveals signatures of structural complexity in posterior temporal cortex.iScience · 2023Article
- Characterization of High-Gamma Activity in Electrocorticographic Signals.Frontiers in neuroscience · 2023Article
- On the encoding of natural music in computational models and human brains.Frontiers in neuroscience · 2022Review
- Different theta connectivity patterns underlie pleasantness evoked by familiar and unfamiliar music.Scientific reports · 2021Article
- Neural Correlates of Music Listening and Recall in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Decoding Movement From Electrocorticographic Activity: A Review.Frontiers in neuroinformatics · 2019Review
- Neural Encoding of Auditory Features during Music Perception and Imagery.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- Interpretations of Frequency Domain Analyses of Neural Entrainment: Periodicity, Fundamental Frequency, and Harmonics.Frontiers in human neuroscience · 2016Article
- Differential Processing of Consonance and Dissonance within the Human Superior Temporal Gyrus.Frontiers in human neuroscience · 2016Article
- The Berlin Brain-Computer Interface: Progress Beyond Communication and Control.Frontiers in neuroscience · 2016Review
- The steady-state response of the cerebral cortex to the beat of music reflects both the comprehension of music and attention.Frontiers in human neuroscience · 2015Article
- Time course of EEG oscillations during repeated listening of a well-known aria.Frontiers in human neuroscience · 2015Article
- Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli.PloS one · 2015Article
- Prefrontal High Gamma in ECoG Tags Periodicity of Musical Rhythms in Perception and Imagination.eNeuroArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.