Dynamic reconfiguration of functional subgraphs after musical training in young adults
Qiongling LiiD, Xuetong WangiD, Shaoyi WangiD, Yongqi XieiD, Yachao Xie, Shuyu LiiD
Abstract
The human brain works in a form of network architecture in which dynamic modules and subgraphs were considered to enable efficient information communication supporting diverse brain functions from fixed anatomy. Previous study demonstrated musical training induced flexible node assignment changes of visual and auditory systems. However, how the dynamic subgraphs change with musical training still remains largely unknown. Here, 29 novices healthy young adults who received 24-week piano training, and another 27 novices without any intervention were scanned at three time points--before and after musical training, and 12 weeks after training. We used nonnegative matrix factorization to identify a set of subgraphs and their corresponding time-dependent coefficients from a concatenated functional network of all subjects in sliding time windows. The energy and entropy of the time-dependent coefficients were computed to quantify the subgraphs dynamic changes in expression. The musical training group showed significantly increased energy of time-dependent coefficients of 3 subgraphs after training. Furthermore, one of the subgraphs, comprised of primary functional systems and cingulo-opercular task control and salience systems, showed significantly changed entropy in the training group after training. Our results suggest that interaction of functional systems undergoes significant changes in their fine-scale dynamic after a period of musical training.\n\nAuthor SummaryWe designed a longitudinal experiment to investigate the musical training induced dynamic subgraph changes in 29 novice healthy young adults before and after musical training compared with another 27 novice participants who were evaluated longitudinal but without any intervention. The nonnegative matrix factorization was employed to decompose the constructed dynamic functional connectivity matrix to a set of subgraphs and their corresponding time-dependent coefficients. We found that functional systems interacted closely with each other during transient process, and the musical training group showed significantly increased energy and entropy of time-dependent coefficients after training when compared with the control group. The present study suggests that musical training could induce the reconfiguration of functional subgraphs in young adults.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- Organism
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Understanding functional brain reorganisation for naturalistic piano playing in novice pianists
Alicja Małgorzata Olszewska, Maciej Gaca, … Artur Marchewka·Journal of Neuroscience ResearchPeer-reviewed·Feb 1, 2024
- Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration
Ankit N. Khambhati, Marcelo Gomes Mattar, … Danielle S. Bassett·NeuroImagePeer-reviewed·Nov 11, 2017
- Dynamic reconfiguration of functional brain networks during working memory training
Karolina Finc, Kamil Bonna, … Danielle S. Bassett·Nature CommunicationsPeer-reviewed·May 15, 2020
- Functional Differences in the Neural Substrates of Auditory Cognition as a Consequence of Music Training
Naomi du Bois, José M. Sánchez‐Bornot, … Girijesh Prasad·bioRxiv·Jun 3, 2021
- Spatiotemporal whole-brain dynamics of auditory patterns recognition
Leonardo Bonetti, Elvira Brattico, … Morten L. Kringelbach·bioRxiv·Jun 23, 2020
- Creative tempo: Spatiotemporal dynamics of the default mode network in improvisational musicians
Harrison N. Watters, Abia Fazili, … Shella Dawn Keilholz·bioRxiv·Apr 7, 2024