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Brain spatiotemporal dynamics of auditory patterns encoding and recognition.
25.05.2020 |
| Dato | tir 12 maj |
| Tid | 14:00 — 16:00 |
| Sted | Due to COVID-19, the defence will be held online via Zoom |
New PhD project from Aarhus University investigates the brain mechanisms underlying music encoding and retrieval. The project was carried out by Leonardo Bonetti and is defended on 12/05/2020. Music is a universal non-verbal human language, built on logical structures and articulated in balanced hierarchies between sounds. Thus, it offers excellent opportunities to explore how the brain creates meaning for complex auditory patterns that evolve over time. Therefore, by using magnetoencephalography (MEG), we investigated the brain functioning underlying encoding and recognition of Johann Sebastian Bach’s original and varied musical sequences. Both encoding and recognition were associated to a network of active and synchronous brain areas usually involved in auditory processing and higher cognitive functions such as memory, learning and language comprehension. Furthermore, even if the retrieval of both Bach’s original and varied sequences recruited similar networks, Bach’s originals presented a stronger activity and synchronization within the brain, following the temporal evolution of the music. This PhD dissertation shed new light on the brain mechanisms associated to encoding and recognition of musical sequences, presenting novel results and further developing state-of-the-art analysis techniques for brain activity and connectivity.
The defence is public and takes place on 12/05/2020 at kl. 14.00. The defence will be conducted online by using the Zoom platform.
Assessment committe:
Clinical professor Therese Ovesen (committee chairman) Department of Clinical Medicine Aarhus University, Denmark
Professor and Head of Department Lutz Jäncke Department of Psychology University of Zürich, Switzerland
Associate professor Klaus Linkenkaer-Hansen Faculty of Science Vrije University Amsterdam, The Netherlands
Contact:
PhD student Leonardo Bonetti
Mail: leonardo.bonetti@clin.au.dk