D3 Article in professional conference proceedings
Predicting Individual Differences from Brain Responses to Music using Functional Network Centrality (2022)


Jain, A., Brattico, E., Toiviainen, P., & Alluri, V. (2022). Predicting Individual Differences from Brain Responses to Music using Functional Network Centrality. In CCN 2022 : 2022 Conference on Cognitive Computational Neuroscience (Article 1233). Conference Management Services, Inc.. https://doi.org/10.32470/CCN.2022.1233-0


JYU authors or editors


Publication details

All authors or editorsJain, Arihant; Brattico, Elvira; Toiviainen, Petri; Alluri, Vinoo

Parent publicationCCN 2022 : 2022 Conference on Cognitive Computational Neuroscience

Conference:

  • Conference on Cognitive Computational Neuroscience

Place and date of conferenceSan Francisco, USA25.-28.8.2022

Publication year2022

Article number1233

PublisherConference Management Services, Inc.

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.32470/CCN.2022.1233-0

Publication open accessOpenly available

Publication channel open accessOpen Access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/82710


Abstract

Individual differences are known to modulate brain responses to music. Recent neuroscience research suggests that each individual has unique and fundamentally stable functional brain connections irrespective of the task they perform. 77 participants’ functional Magnetic Resonance Imaging (fMRI) responses were measured while continuously listening to music. Using a graph-theory-based approach, we modeled whole-brain functional connectivity. We then calculate voxel-wise eigenvector centrality and subsequently use it to classify gender and musical expertise using binary Support Vector Machine (SVM). We achieved a cross-validated classification accuracy of 97% and 96% for gender and musical expertise, respectively. We also identify regions that contribute most to this classification. Thus, this study demonstrates that individual differences can be decoded from brain responses to music using a graph-based method with near-perfect precision.


Keywordsmusic psychologycognitive neurosciencelisteningdifferencesindividualityfunctional magnetic resonance imaging

Free keywordsindividual differences; fMRI; naturalistic paradigm; functional connectivity; centrality; classification


Contributing organizations


Ministry reportingYes

VIRTA submission year2022


Last updated on 2024-12-10 at 14:00