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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Main Authors: Alexander Belden, Tima Zeng, Emily Przysinda, Sheeba Arnold Anteraper, Susan Whitfield-Gabrieli, Psyche Loui
Format: Article
Language:English
Published: Elsevier 2020-02-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919309759
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spelling 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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