ArticlePloS one2015
Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Synergistic tension among the music and lyrics of late-Romantic choral songs.Scientific reports · 2026Article
- Decoding selective auditory attention to musical elements in ecologically valid music listening.Scientific reports · 2026Article
- Neural and Behavioral Tracking of Musical Phrases Occurs Without Temporal Regularity.The European journal of neuroscience · 2026Article
- EEG emotion recognition via multilevel entropy analysis: The power of entropy of entropy on phase dynamics.PloS one · 2026Article
- Figure-ground relationship of voices in musical structure modulates reciprocal frontotemporal connectivity.Frontiers in neuroscience · 2025Article
- The impact of frequency-specific music stimulation on consciousness in patients with disorders of consciousness.Frontiers in neurology · 2025Article
- Feasibility of clinical EEG for music recognition in children aged 1-12 years.Frontiers in pediatrics · 2024Article
- Evoked responses to note onsets and phrase boundaries in Mozart's K448.Scientific reports · 2022Article
- 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
- An Analytical Framework of Tonal and Rhythmic Hierarchy in Natural Music Using the Multivariate Temporal Response Function.Frontiers in neuroscience · 2021Article
- Modulating Cortical Instrument Representations During Auditory Stream Segregation and Integration With Polyphonic Music.Frontiers in neuroscience · 2021Article
- Exploring Frequency-Dependent Brain Networks from Ongoing EEG Using Spatial ICA During Music Listening.Brain topography · 2020Article
- Electroencephalography reflects the activity of sub-cortical brain regions during approach-withdrawal behaviour while listening to music.Scientific reports · 2019Article
- Analysis of the Effect of Musical Stimulation on Cortical Auditory Evoked Potentials.International archives of otorhinolaryngology · 2019Article
- Understanding perception of active noise control system through multichannel EEG analysis.Healthcare technology letters · 2018Article
- Decoding Musical Training from Dynamic Processing of Musical Features in the Brain.Scientific reports · 2018Article
- Workshops of the Sixth International Brain-Computer Interface Meeting: brain-computer interfaces past, present, and future.Brain computer interfaces (Abingdon, England) · 2017Article
- The Berlin Brain-Computer Interface: Progress Beyond Communication and Control.Frontiers in neuroscience · 2016Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Note onsets in music are acoustic landmarks providing auditory cues that underlie the perception of more complex phenomena such as beat, rhythm, and meter. For naturalistic ongoing sounds a detailed view on the neural representation of onset structure is hard to obtain, since, typically, stimulus-related EEG signatures are derived by averaging a high number of identical stimulus presentations. Here, we propose a novel multivariate regression-based method extracting onset-related brain responses from the ongoing EEG. We analyse EEG recordings of nine subjects who passively listened to stimuli from various sound categories encompassing simple tone sequences, full-length romantic piano pieces and natural (non-music) soundscapes. The regression approach reduces the 61-channel EEG to one time course optimally reflecting note onsets. The neural signatures derived by this procedure indeed resemble canonical onset-related ERPs, such as the N1-P2 complex. This EEG projection was then utilized to determine the Cortico-Acoustic Correlation (CACor), a measure of synchronization between EEG signal and stimulus. We demonstrate that a significant CACor (i) can be detected in an individual listener's EEG of a single presentation of a full-length complex naturalistic music stimulus, and (ii) it co-varies with the stimuli's average magnitudes of sharpness, spectral centroid, and rhythmic complexity. In particular, the subset of stimuli eliciting a strong CACor also produces strongly coordinated tension ratings obtained from an independent listener group in a separate behavioral experiment. Thus musical features that lead to a marked physiological reflection of tone onsets also contribute to perceived tension in music.
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