Abstract |  Maybe We Can Access the Brain’s Hidden Repertoire Through Music

Music is culturally ubiquitous, supporting social and personal functions. Unlike language, music listening and performing seem to engage several brain networks. The broad engagement opens the possibility of identifying key personal brain signatures that reflect the capacity of brain systems to work together. This potential meshes well with the evolving theory of Structured Flow on Manifolds (SFM), where the manifolds define potentials and the flow represents actual expressions of network dynamics. My talk will lay the foundation for these ideas and the link to music listening. When we consider music as having similar SFM properties as the brain, a connection may be formed by linking the music and brain flows. I will present some preliminary data from EEG, where we start linking flows using Hidden Markov modelling.  I will finish with ideas for an extension to aging and dementia.