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Resting-state functional connectivity in an auditory network differs between aspiring professional and amateur musicians and correlates with performance

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Resting-state functional connectivity in an auditory network differs between aspiring professional and amateur musicians and correlates with performance. / Papadaki, Eleftheria; Koustakas, Theodoros; Werner, André; Kühn, Simone; Wenger, Elisabeth.

In: BRAIN STRUCT FUNCT, Vol. 228, No. 9, 12.2023, p. 2147-2163.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Papadaki, E, Koustakas, T, Werner, A, Kühn, S & Wenger, E 2023, 'Resting-state functional connectivity in an auditory network differs between aspiring professional and amateur musicians and correlates with performance', BRAIN STRUCT FUNCT, vol. 228, no. 9, pp. 2147-2163. https://doi.org/10.1007/s00429-023-02711-1

APA

Papadaki, E., Koustakas, T., Werner, A., Kühn, S., & Wenger, E. (2023). Resting-state functional connectivity in an auditory network differs between aspiring professional and amateur musicians and correlates with performance. BRAIN STRUCT FUNCT, 228(9), 2147-2163. https://doi.org/10.1007/s00429-023-02711-1

Vancouver

Papadaki E, Koustakas T, Werner A, Kühn S, Wenger E. Resting-state functional connectivity in an auditory network differs between aspiring professional and amateur musicians and correlates with performance. BRAIN STRUCT FUNCT. 2023 Dec;228(9):2147-2163. https://doi.org/10.1007/s00429-023-02711-1

Bibtex

@article{ec6a8d252aae4583a7fd0e3e624199bd,
title = "Resting-state functional connectivity in an auditory network differs between aspiring professional and amateur musicians and correlates with performance",
abstract = "Auditory experience-dependent plasticity is often studied in the domain of musical expertise. Available evidence suggests that years of musical practice are associated with structural and functional changes in auditory cortex and related brain regions. Resting-state functional magnetic resonance imaging (MRI) can be used to investigate neural correlates of musical training and expertise beyond specific task influences. Here, we compared two groups of musicians with varying expertise: 24 aspiring professional musicians preparing for their entrance exam at Universities of Arts versus 17 amateur musicians without any such aspirations but who also performed music on a regular basis. We used an interval recognition task to define task-relevant brain regions and computed functional connectivity and graph-theoretical measures in this network on separately acquired resting-state data. Aspiring professionals performed significantly better on all behavioral indicators including interval recognition and also showed significantly greater network strength and global efficiency than amateur musicians. Critically, both average network strength and global efficiency were correlated with interval recognition task performance assessed in the scanner, and with an additional measure of interval identification ability. These findings demonstrate that task-informed resting-state fMRI can capture connectivity differences that correspond to expertise-related differences in behavior.",
keywords = "Humans, Music, Brain Mapping, Auditory Cortex, Brain, Magnetic Resonance Imaging",
author = "Eleftheria Papadaki and Theodoros Koustakas and Andr{\'e} Werner and Simone K{\"u}hn and Elisabeth Wenger",
note = "{\textcopyright} 2023. The Author(s).",
year = "2023",
month = dec,
doi = "10.1007/s00429-023-02711-1",
language = "English",
volume = "228",
pages = "2147--2163",
journal = "BRAIN STRUCT FUNCT",
issn = "1863-2653",
publisher = "Springer",
number = "9",

}

RIS

TY - JOUR

T1 - Resting-state functional connectivity in an auditory network differs between aspiring professional and amateur musicians and correlates with performance

AU - Papadaki, Eleftheria

AU - Koustakas, Theodoros

AU - Werner, André

AU - Kühn, Simone

AU - Wenger, Elisabeth

N1 - © 2023. The Author(s).

PY - 2023/12

Y1 - 2023/12

N2 - Auditory experience-dependent plasticity is often studied in the domain of musical expertise. Available evidence suggests that years of musical practice are associated with structural and functional changes in auditory cortex and related brain regions. Resting-state functional magnetic resonance imaging (MRI) can be used to investigate neural correlates of musical training and expertise beyond specific task influences. Here, we compared two groups of musicians with varying expertise: 24 aspiring professional musicians preparing for their entrance exam at Universities of Arts versus 17 amateur musicians without any such aspirations but who also performed music on a regular basis. We used an interval recognition task to define task-relevant brain regions and computed functional connectivity and graph-theoretical measures in this network on separately acquired resting-state data. Aspiring professionals performed significantly better on all behavioral indicators including interval recognition and also showed significantly greater network strength and global efficiency than amateur musicians. Critically, both average network strength and global efficiency were correlated with interval recognition task performance assessed in the scanner, and with an additional measure of interval identification ability. These findings demonstrate that task-informed resting-state fMRI can capture connectivity differences that correspond to expertise-related differences in behavior.

AB - Auditory experience-dependent plasticity is often studied in the domain of musical expertise. Available evidence suggests that years of musical practice are associated with structural and functional changes in auditory cortex and related brain regions. Resting-state functional magnetic resonance imaging (MRI) can be used to investigate neural correlates of musical training and expertise beyond specific task influences. Here, we compared two groups of musicians with varying expertise: 24 aspiring professional musicians preparing for their entrance exam at Universities of Arts versus 17 amateur musicians without any such aspirations but who also performed music on a regular basis. We used an interval recognition task to define task-relevant brain regions and computed functional connectivity and graph-theoretical measures in this network on separately acquired resting-state data. Aspiring professionals performed significantly better on all behavioral indicators including interval recognition and also showed significantly greater network strength and global efficiency than amateur musicians. Critically, both average network strength and global efficiency were correlated with interval recognition task performance assessed in the scanner, and with an additional measure of interval identification ability. These findings demonstrate that task-informed resting-state fMRI can capture connectivity differences that correspond to expertise-related differences in behavior.

KW - Humans

KW - Music

KW - Brain Mapping

KW - Auditory Cortex

KW - Brain

KW - Magnetic Resonance Imaging

U2 - 10.1007/s00429-023-02711-1

DO - 10.1007/s00429-023-02711-1

M3 - SCORING: Journal article

C2 - 37792073

VL - 228

SP - 2147

EP - 2163

JO - BRAIN STRUCT FUNCT

JF - BRAIN STRUCT FUNCT

SN - 1863-2653

IS - 9

ER -