Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm

Alluri, Vinoo; Toiviainen, Petri; Jä̈askëlainen, Iiro P.; Glerean, Enrico; Sams, Mikko; Brattico, Elvira

doi:10.1016/j.neuroimage.2011.11.019

Cited by 321 publications

(502 citation statements)

References 51 publications

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“…With regard to alertness, most of the participants reported to be in normal or alert state throughout the experiment, although six participants declared to become less alert towards the end. Only four out of 26 participants acknowledged being familiar with the music (hence replicating the frequency observed in the study by Alluri, Toiviainen, Jääskeläinen, Glerean, Sams, and Brattico, 2012). When examining the reported criteria used by the participants to segment the music, assorted responses are found.…”

Section: Participants' Self-reportsupporting

confidence: 52%

“…In any case, the modulation of the limbic system seems to be a complex matter. In the context of acoustic feature processing in the brain, decreased pulse clarity was found to be associated with activation in the left hippocampus (Alluri et al, 2012). The recruitment of this limbic area in connection to decrease of pulse clarity was interpreted by the authors to be associated with the tension caused by the perceived lack of pulse clarity.…”

Section: Neuroanatomy Of Working Memory For Musicmentioning

confidence: 92%

“…The left MedFG (BA32) also activated in response to WM, which in storage tasks has been found to be frequently active for increased demands in selective attention to features of a stimulus to be stored in WM (Wager & Smith, 2003). In Alluri et al (2012) the left MedFG (BA6) was seen active with low levels of activity in the music.…”

Section: Neuroanatomy Of Working Memory For Musicmentioning

confidence: 99%

“…(2012) were added to the model in a second statistical run as nuisance regressors (see Figure 11) to remove the variation evoked by the acoustic features in the brain signal and best isolate the WM effect, but also to observe the extent to which musical feature processing networks might be involved in or might overlap with music-relevant WM processes in the brain when comparing the results of the two analyses (post-processed acoustic components were provided by the author 9 ). The acoustic components (n=6) correspond to the main timbral, tonal, and rhythmic features in the stimulus and are continuous-valued variables (see Alluri, 2012, for an in-depth acoustic description).…”

Section: Ac Nuisance Regressorsmentioning

confidence: 99%

“…The REP regressor was also tested for orthogonality against the AC following the same procedure, by computing Pearson's r correlation between REP and individual AC, which resulted in two AC (fullness and key clarity [Alluri et al, 2012]) with moderate-low correlation coefficients of r=0.26…”

Section: Orthogonality Of Regressorsmentioning

confidence: 99%

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Dynamics of brain activity underlying working memory for music in a naturalistic condition

Burunat

Alluri

Toiviainen

et al. 2014

Cortex

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Sivumäärä -Number of pages 70Tiivistelmä -Abstract Working memory (WM) is at the core of any cognitive function as it is necessary for the integration of information over time. Despite WM's critical role in high-level cognitive functions, its implementation in the neural tissue is poorly understood. Preliminary studies on auditory WM show differences between linguistic and musical memory, leading to the speculation of specific neural networks encoding memory for music. Moreover, in neuroscience WM has not been studied in naturalistic listening conditions but rather in artificial settings (e.g., n-back and Sternberg tasks). Western tonal music provides naturally occurring motivic repetition and variation, recognizable units serving as WM trigger, thus allowing us to study the phenomenon of motif-tracking in the context of real music. Adopting a modern tango as stimulus, behavioural methods were used to identify the stimulus motifs and build a time-course predictor of WM neural responses. This predictor was then correlated with the participants' functional magnetic resonance imaging (fMRI) signal obtained during a continuous listening condition. Neural correlates related to the sensory processing of a set of musical features were filtered out from the brain responses to music to aid in the exclusive recruitment of executive processes of music-related WM. Correlational analysis revealed a widely distributed network of cortical and subcortical areas, predominantly right-lateralized, responding to the WM condition, including ventral and dorsal areas in the prefrontal cortex, basal ganglia, and limbic areas. Significant subcortical processing areas, active in response to the WM condition, were pruned with the removal of the acoustic content, suggesting these music-related perceptual processing areas might aid in the encoding and retrieval of WM. The pattern of dispersed neural activity indicates WM to emerge coherently from the integration of distributed neural activity spread out over different brain subsystems (motoric-, cognitive-and sensory-related areas of the brain).Asiasanat -Keywords working memory; cognitive neuroscience; music; musical motifs; functional magnetic resonance imaging ( Lashley was attempting to identify the locus of memory within the cortex, and, to do so, first trained rats to run mazes, and then removed various cortical regions. He allowed the animals to recover and tested the retention of the maze-running skills. To his surprise it was not possible to find a particular region corresponding to the ability to remember the way through a maze. Instead all the rats which had had cortex regions removed suffered some kind of impairment, and the extent of the impairment was roughly proportional to the amount of cortex taken off. Removing cortex damaged the motor and sensory capacities of the animals, and they would limp, hop, roll, or stagger, but somehow they always managed to traverse the maze. So far as memory 'as concerned, the cortex appeared to be equipotential, that is, with all regions of eq...

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Section: Participants' Self-reportsupporting

confidence: 52%

Section: Neuroanatomy Of Working Memory For Musicmentioning

confidence: 92%

Section: Neuroanatomy Of Working Memory For Musicmentioning

confidence: 99%

Section: Ac Nuisance Regressorsmentioning

confidence: 99%

Section: Orthogonality Of Regressorsmentioning

confidence: 99%

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Dynamics of brain activity underlying working memory for music in a naturalistic condition

Burunat

Alluri

Toiviainen

et al. 2014

Cortex

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Functional Magnetic Resonance Imaging (fMRI)

Burunat

Brattico

2017

The Sourcebook of Listening Research

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Music Perception

Russo

Ammirante

2018

Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience

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This chapter reviews research on music perception. The review has been divided into four major sections. The first section considers research on pitch perception. The second section considers research on perception of timbre, perception of consonance, the generation of melodic expectancies, and the representation of tonal hierarchies. The third section considers research on rhythm and the representation of longer excerpts of music. The final section evaluates those aspects of music that appear to be universal as well as the possible origins of music.

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Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm

Cited by 321 publications

References 51 publications

Dynamics of brain activity underlying working memory for music in a naturalistic condition

Dynamics of brain activity underlying working memory for music in a naturalistic condition

Functional Magnetic Resonance Imaging (fMRI)

Music Perception

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