Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivity
Jazz improvisation offers a model for creative cognition, as it involves the real-time creation of a novel, information-rich product. Previous research has shown that when musicians improvise, they recruit regions in the Default Mode Network (DMN) and Executive Control Network (ECN). Here, we ask wh...
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doaj-cbb30b5523fb4fbfab9f1d77f68fa7cb2020-11-25T03:51:38ZengElsevierNeuroImage1095-95722020-02-01207116384Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivityAlexander Belden0Tima Zeng1Emily Przysinda2Sheeba Arnold Anteraper3Susan Whitfield-Gabrieli4Psyche Loui5Northeastern University, USA; Wesleyan University, USAWesleyan University, USA; University of Pennsylvania, USAWesleyan University, USA; University of Rochester, USANortheastern University, USANortheastern University, USANortheastern University, USA; Wesleyan University, USA; Corresponding author. Department of Music, Center for Cognitive and Brain Health, Northeastern University, 360 Huntington Avenue, Boston, 02115-5000, MA, USA.Jazz improvisation offers a model for creative cognition, as it involves the real-time creation of a novel, information-rich product. Previous research has shown that when musicians improvise, they recruit regions in the Default Mode Network (DMN) and Executive Control Network (ECN). Here, we ask whether these findings from task-fMRI studies might extend to intrinsic differences in resting state functional connectivity. We compared Improvising musicians, Classical musicians, and Minimally Musically Trained (MMT) controls in seed-based functional connectivity and network analyses in resting state functional MRI. We also examined the functional correlates of behavioral performance in musical improvisation and divergent thinking. Seed-based analysis consistently showed higher connectivity in ventral DMN (vDMN) and bilateral ECN in both groups of musically trained individuals as compared to MMT controls, with additional group differences in primary visual network. In particular, primary visual network connectivity to DMN and ECN was highest in Improvisational musicians, as was connectivity between ECN and DMN; in contrast, connectivity between vDMN and frontal pole was highest in Classical musicians. Furthermore, graph-theoretical analysis indicated heightened network measures in both musician groups, with betweenness centrality, clustering, and local efficiency showing highest levels in Classical musicians, and degrees and strengths showing highest levels in Improvisational musicians. Taken together, results suggest that heightened functional connectivity among musicians can be explained by higher within-network connectivity (more tight-knit cortical networks) in Classical musicians, as opposed to more disperse, globally-connected cortical networks in Improvisational musicians.http://www.sciencedirect.com/science/article/pii/S1053811919309759rsfMRICreativityMusicFunctional connectivityGraph theory |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alexander Belden Tima Zeng Emily Przysinda Sheeba Arnold Anteraper Susan Whitfield-Gabrieli Psyche Loui |
spellingShingle |
Alexander Belden Tima Zeng Emily Przysinda Sheeba Arnold Anteraper Susan Whitfield-Gabrieli Psyche Loui Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivity NeuroImage rsfMRI Creativity Music Functional connectivity Graph theory |
author_facet |
Alexander Belden Tima Zeng Emily Przysinda Sheeba Arnold Anteraper Susan Whitfield-Gabrieli Psyche Loui |
author_sort |
Alexander Belden |
title |
Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivity |
title_short |
Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivity |
title_full |
Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivity |
title_fullStr |
Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivity |
title_full_unstemmed |
Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivity |
title_sort |
improvising at rest: differentiating jazz and classical music training with resting state functional connectivity |
publisher |
Elsevier |
series |
NeuroImage |
issn |
1095-9572 |
publishDate |
2020-02-01 |
description |
Jazz improvisation offers a model for creative cognition, as it involves the real-time creation of a novel, information-rich product. Previous research has shown that when musicians improvise, they recruit regions in the Default Mode Network (DMN) and Executive Control Network (ECN). Here, we ask whether these findings from task-fMRI studies might extend to intrinsic differences in resting state functional connectivity. We compared Improvising musicians, Classical musicians, and Minimally Musically Trained (MMT) controls in seed-based functional connectivity and network analyses in resting state functional MRI. We also examined the functional correlates of behavioral performance in musical improvisation and divergent thinking. Seed-based analysis consistently showed higher connectivity in ventral DMN (vDMN) and bilateral ECN in both groups of musically trained individuals as compared to MMT controls, with additional group differences in primary visual network. In particular, primary visual network connectivity to DMN and ECN was highest in Improvisational musicians, as was connectivity between ECN and DMN; in contrast, connectivity between vDMN and frontal pole was highest in Classical musicians. Furthermore, graph-theoretical analysis indicated heightened network measures in both musician groups, with betweenness centrality, clustering, and local efficiency showing highest levels in Classical musicians, and degrees and strengths showing highest levels in Improvisational musicians. Taken together, results suggest that heightened functional connectivity among musicians can be explained by higher within-network connectivity (more tight-knit cortical networks) in Classical musicians, as opposed to more disperse, globally-connected cortical networks in Improvisational musicians. |
topic |
rsfMRI Creativity Music Functional connectivity Graph theory |
url |
http://www.sciencedirect.com/science/article/pii/S1053811919309759 |
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