Name
Abstract | ||
|---|---|---|
The current work investigates the brain activation shared between perception and imagery of music as measured with electroencephalography (EEG). Meta-analyses of four separate EEG experiments are presented, each focusing on perception and imagination of musical sound, with differing levels of stimulus complexity. Imagination and perception of simple accented metronome trains, as manifested in the clock illusion, as well as monophonic melodies are discussed, as well as more complex rhythmic patterns and ecologically natural music stimuli. By decomposing the data with principal component analysis (PCA), similar component distributions are found to explain most of the variance in each experiment. All data sets show a fronto-central and a more central component as the largest sources of variance, fitting with projections seen for the network of areas contributing to the N1/P2 complex. We expanded on these results using tensor decomposition. This allows us to add in the tasks to find shared activation, but does not make assumptions of independence or orthogonality and calculates the relative strengths of these components for each task. The components found in the PCA were shown to be further decomposable into parts that load primarily on to the perception or imagery task, or both, thereby adding more detail. It is shown that the frontal and central components have multiple parts that are differentially active during perception and imagination. A number of possible interpretations of these results are discussed, taking into account the different stimulus materials and measurement conditions. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.neuroimage.2012.12.064 | NeuroImage |
Keywords | Field | DocType |
Music perception,Music imagination,Electroencephalography,Principal component analysis,Parallel factor analysis | Melody,Illusion,Psychology,Speech recognition,Metronome,Stimulus (physiology),Rhythm,Perception,Electroencephalography,Principal component analysis | Journal |
Volume | ISSN | Citations |
70 | 1053-8119 | 4 |
PageRank | References | Authors |
0.51 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rebecca S. Schaefer | 1 | 15 | 1.27 |
| peter desain | 2 | 165 | 31.76 |
| Jason Farquhar | 3 | 43 | 6.15 |