A4 Artikkeli konferenssijulkaisussa
Dynamic Functional Connectivity in the Musical Brain (2019)
Niranjan, D., Toiviainen, P., Brattico, E., & Alluri, V. (2019). Dynamic Functional Connectivity in the Musical Brain. In P. Liang, V. Goel, & C. Shan (Eds.), BI 2019 : International Conference on Brain Informatics (11976, pp. 82-91). Springer. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-37078-7_9
JYU-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Niranjan, Dipankar; Toiviainen, Petri; Brattico, Elvira; Alluri, Vinoo
Emojulkaisu: BI 2019 : International Conference on Brain Informatics
Emojulkaisun toimittajat: Liang, Peipeng; Goel, Vinod; Shan, Chunlei
Konferenssi:
- International Conference on Brain Informatics
Konferenssin paikka ja aika: Haikou, China, 13.-15.12.2019
ISBN: 978-3-030-37077-0
eISBN: 978-3-030-37078-7
Lehti tai sarja: Lecture Notes in Computer Science
ISSN: 0302-9743
eISSN: 1611-3349
Julkaisuvuosi: 2019
Volyymi: 11976
Artikkelin sivunumerot: 82-91
Kirjan kokonaissivumäärä: 274
Kustantaja: Springer
Kustannuspaikka: Cham
Julkaisumaa: Sveitsi
Julkaisun kieli: englanti
DOI: https://doi.org/10.1007/978-3-030-37078-7_9
Julkaisun avoin saatavuus: Ei avoin
Julkaisukanavan avoin saatavuus:
Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/67321
Tiivistelmä
Musical training causes structural and functional changes in the brain due to its sensory-motor demands. This leads to differences in how musicians perceive and process music as compared to non-musicians, thereby providing insights into brain adaptations and plasticity. Correlational studies and network analysis investigations have indicated the presence of large-scale brain networks involved in the processing of music and have highlighted differences between musicians and non-musicians. However, studies on functional connectivity in the brain during music listening tasks have thus far focused solely on static network analysis. Dynamic Functional Connectivity (DFC) studies have lately been found useful in unearthing meaningful, time-varying functional connectivity information in both resting-state and task-based experimental settings. In this study, we examine DFC in the fMRI obtained from two groups of participants, 18 musicians and 18 non-musicians, while they listened to a musical stimulus in a naturalistic setting. We utilize spatial Group Independent Component Analysis (ICA), sliding time window correlations, and a deterministic agglomerative clustering of windowed correlation matrices to identify quasi-stable Functional Connectivity (FC) states in the two groups. To compute cluster centroids that represent FC states, we devise and present a method that primarily utilizes windowed correlation matrices occurring repeatedly over time and across participants, while excluding matrices corresponding to spontaneous fluctuations. Preliminary analysis indicate states with greater visuo-sensorimotor integration in musicians, larger presence of DMN states in non-musicians, and variability in states found in musicians due to differences in training and prior experiences.
YSO-asiasanat: muusikot; musiikki; aivotutkimus
Vapaat asiasanat: dynamic functional connectivity; clustering; ICA; state characterization; musicians vs. non-musicians
Liittyvät organisaatiot
Hankkeet, joissa julkaisu on tehty
- Musiikin kognition dynamiikka
- Toiviainen, Petri
- Suomen Akatemia
OKM-raportointi: Kyllä
Raportointivuosi: 2019
JUFO-taso: 1