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A Pilot Study of Neuroaesthetics Based on the Analysis of Electroencephalographic Connectivity Networks in the Visualization of Different Dance Choreography Styles

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Bioinformatics and Biomedical Engineering (IWBBIO 2023)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13920))

Abstract

Neuroaesthetics allows us to understand how the brain works in different artistic languages and, therefore, to broaden the knowledge of our aesthetic judgments. The present pilot study is an interdisciplinary work that aims to differentiate different aesthetic dance choreography styles and to demonstrate the influence of training, learning, enculturation and familiarization of these styles on their brain perception by means of neurophysiological measurements of EEG signals and neural connectivity network analysis techniques. To this end, EEGs of non-expert dancers are recorded while viewing two fragments (film clips) of classical and modern dance and during other control conditions. Measures of functional connectivity between recorded regions are obtained from phase synchronization measurements between pairs of EEG signals in each EEG frequency band (FB). The responses of each FB are evaluated from indices obtained from models of EEG connectivity networks -graphs and connectomes- constructed from graph theory and network-based statistics (NBS) in a global and local context. Thus, significant alterations -in some of the indices- are observed between different contrasts and conditions in certain areas and specific EEG connections that depend on the EEG frequency band under consideration. These first results, therefore, suggest the usefulness of this neuroaesthetic experimental paradigm. On the other hand, these neuroaesthetic procedures may be of special interest in biomedicine because they provide knowledge about different languages that can be applied in therapies and treatments.

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Author information

Authors and Affiliations

  1. Departamento de Historia del Arte y Filosofía, Facultad de Humanidades, Universidad de La Laguna, San Cristóbal de La Laguna, Spain

    Almudena González

  2. Departamento de Educación Física y Salud del ISEF, CURE sede Maldonado de la Universidad de la República, Punta del Este, Uruguay

    José Meléndez-Gallardo

  3. Departamento de Ciencias Médicas Básicas, Universidad de La Laguna, San Cristóbal de La Laguna, Tenerife, Spain

    Julian J. Gonzalez

Authors
  1. Almudena González
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  2. José Meléndez-Gallardo
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  3. Julian J. Gonzalez
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Corresponding author

Correspondence to Almudena González .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Granada, Granada, Spain

    Olga Valenzuela

  3. University of Granada, Granada, Spain

    Fernando Rojas Ruiz

  4. University of Granada, Granada, Spain

    Luis Javier Herrera

  5. University of Granada, Granada, Spain

    Francisco Ortuño

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González, A., Meléndez-Gallardo, J., Gonzalez, J.J. (2023). A Pilot Study of Neuroaesthetics Based on the Analysis of Electroencephalographic Connectivity Networks in the Visualization of Different Dance Choreography Styles. In: Rojas, I., Valenzuela, O., Rojas Ruiz, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2023. Lecture Notes in Computer Science(), vol 13920. Springer, Cham. https://doi.org/10.1007/978-3-031-34960-7_21

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  • DOI: https://doi.org/10.1007/978-3-031-34960-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34959-1

  • Online ISBN: 978-3-031-34960-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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