Network Science and the Effects of Music Preference on Functional Brain Connectivity: From Beethoven to Eminem

Wilkins, Robin W.; Hodges, Donald A.; Laurienti, Paul J.; Steen, Matthew; Burdette, Jonathan H.

doi:10.1038/srep06130

Cited by 115 publications

(109 citation statements)

References 65 publications

(92 reference statements)

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“…Here, we exploited naturalistic conditions in real music instead of devising artificial conditions, and successfully demonstrated how significant variations of melody in real music change a regional connectivity in the human brain. These are distinct from the attempts in previous studies using original musical pieces (Platel et al, 2003;Plailly et al, 2007;Sridharan et al, 2007;Burunat et al, 2014;Wilkins et al, 2014).…”

Section: Discussioncontrasting

confidence: 61%

Increased fronto-temporal connectivity by modified melody in real music

Kim

Seol

Jin

et al. 2020

Preprint

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In real music, the original melody may appear intact, with little elaboration only, or significantly modified. Since a melody is most easily perceived in music, hearing significantly modified melody may change a brain connectivity. Mozart KV 265 is comprised of an original melody of "Twinkle Twinkle Little Star" with its significant variations. We studied whether effective connectivity changes with significantly modified melody, between bilateral inferior frontal gyri (IFGs) and Heschl's gyri (HGs) using magnetoencephalography (MEG). Among the 12 connectivities, the connectivity from the left IFG to the right HG was consistently increased with significantly modified melody compared to the original melody in 2 separate sets of the same rhythmic pattern with different melody (p = 0.005 and 0.034, Bonferroni corrected). Our findings show that the modification of an original melody in a real music changes the brain connectivity. Significant statementsOur data show how a regional connectivity changes when the original melody is intact or significantly modified, consistent in two different sets of variations with the same rhythmic patterns but with the different melody pattern. The present study employed real music of Mozart's Variation KV 265 as musical stimuli, dissected musical elements in each variation, and devised the two comparable sets of variation, which have the same rhythmic pattern but different melody. We exploited naturalistic conditions in real music instead of devising artificial conditions, and successfully demonstrated how variations of melody in real music change a regional connectivity in the brain.

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Section: Discussioncontrasting

confidence: 61%

Increased fronto-temporal connectivity by modified melody in real music

Kim

Seol

Jin

et al. 2020

Preprint

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“…While this meta-analysis shows a consistent view, the picture becomes more fragmented when looking at different types of emotions. Very recently, data-driven methods, such as graph theory, 14 eigenvector centrality mapping, 15 network science [16][17][18] and ICA 19 have been only marginally adopted to investigate functional connectivity during listening to music. Clustering analysis 20,21 has instead not been applied to music neuroscience.…”

mentioning

confidence: 99%

Towards Tunable Consensus Clustering for Studying Functional Brain Connectivity During Affective Processing

Liu

Abu‐Jamous

Brattico

et al. 2016

Int. J. Neur. Syst.

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In the past decades, neuroimaging of humans has gained a position of status within neuroscience, and data-driven approaches and functional connectivity analyses of functional magnetic resonance imaging (fMRI) data are increasingly favored to depict the complex architecture of human brains. However, the reliability of these findings is jeopardized by too many analysis methods and sometimes too few samples used, which leads to discord among researchers. We propose a tunable consensus clustering paradigm that aims at overcoming the clustering methods selection problem as well as reliability issues in neuroimaging by means of first applying several analysis methods (three in this study) on multiple datasets and then integrating the clustering results. To validate the method, we applied it to a complex fMRI experiment involving affective processing of hundreds of music clips. We found that brain structures related to visual, reward, and auditory processing have intrinsic spatial patterns of coherent neuroactivity during affective processing. The comparisons between the results obtained from our method and those from each individual clustering algorithm demonstrate that our paradigm has notable advantages over traditional single clustering algorithms in being able to evidence robust connectivity patterns even with complex neuroimaging data involving a variety of stimuli and affective evaluations of them. The consensus clustering method is implemented in the R package "UNCLES" available on http://cran.rproject.org/web/packages/UNCLES/index.html.

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“…DMN is believed to be a neural circuit that constantly monitors the sensory environment and displays high activity during lack of focused attention on external events [83]. It seems to function as a toggle switch between outwardly focused mind states and the internal or subjective sense of self [84] and can be used to explore the functional connections of the complex integrative network of functionally linked brain regions, which continuously share information with each other. As such, there are interconnected resting-state neuronal communities or functional brain networks with functional communication between them.…”

Section: Music Facilitates Neural Connectivitymentioning

confidence: 99%

“…These memories seem to support and sustain brain introspection via connectivity within the default mode network and also to effectively reprocess autobiographic and episodic memories [84]. An additional explanation for this dissociation is that in patients with general cortical and hippocampal atrophy, which impairs standard episodic learning, musically-associated stimuli allow for a more diversified encoding.…”

Section: Clinical and Therapeutic Applicationsmentioning

confidence: 99%

Music and Brain Plasticity: How Sounds Trigger Neurogenerative Adaptations

Reybrouck¹,

Vuust²,

Brattico³

2018

Neuroplasticity - Insights of Neural Reorganization

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This contribution describes how music can trigger plastic changes in the brain. We elaborate on the concept of neuroplasticity by focussing on three major topics: the ontogenetic scale of musical development, the phenomenon of neuroplasticity as the outcome of interactions with the sounds and a short survey of clinical and therapeutic applications. First, a distinction is made between two scales of description: the larger evolutionary scale (phylogeny) and the scale of individual development (ontogeny). In this sense, listeners are not constrained by a static dispositional machinery, but they can be considered as dynamical systems that are able to adapt themselves in answer to the solicitations of a challenging environment. Second, the neuroplastic changes are considered both from a structural and functional level of adaptation, with a special focus on the recent findings from network science. The neural activity of the medial regions of the brain seems to become more synchronised when listening to music as compared to rest, and these changes become permanent in individuals such as musicians with year-long musical practice. As such, the question is raised as to the clinical and therapeutic applications of music as a trigger for enhancing the functionality of the brain, both in normal and impaired people.

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Network Science and the Effects of Music Preference on Functional Brain Connectivity: From Beethoven to Eminem

Cited by 115 publications

References 65 publications

Increased fronto-temporal connectivity by modified melody in real music

Increased fronto-temporal connectivity by modified melody in real music

Towards Tunable Consensus Clustering for Studying Functional Brain Connectivity During Affective Processing

Music and Brain Plasticity: How Sounds Trigger Neurogenerative Adaptations

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