UNMUTED - Understanding Music-Based Interventions to Encourage Social- Emotional Development in Groups of Adults with Autism Spectrum Disorder
From 01-01-2021 to 31-12-2024
Description
Approximately 10% of adult psychiatric inpatients in Europe are individuals with Autism Spectrum Disorders (ASD). Current therapies for these inpatients emphasize cognitive adjustment and do not account for specific qualities of autism. Recent research emphasizes the need to integrate modern therapies in a non-verbal, affectiveembodied oriented framework. One such framework, music-based intervention, has become a powerful tool for enhancing socialemotional competence in children with ASD, but little is known about the effects of this approach on adults with ASD. This proposal, therefore, aims to renew scientific knowledge about the ways in which music-based interventions foster social-emotional development in a population of adults with ASD. In contrast with current studies that focus on outcome measures or success rates of interventions, we will target a mechanistic and multimodal understanding of the key components of action, and their processes, in music-based interventions. We propose a four-step, multidisciplinary plan that expands on our ongoing work in which we will (1) collect audio recordings and other non-musical information from group-based music interventions, (2) extract relevant features from those data, (3) create models that describe developmental processes within single interventions and across interventions, and (4) use those models to inform and improve future music-based interventions, and arts-based interventions in general.
Team
- Jared Houghtaling, Co-promoter
- Jos De Backer, Co-promoter (External)
- Katrien Foubert, Co-promoter (External)
- Toon van Waterschoot, Coordinator
Financing
Funding: FWO - Research Foundation - Flanders
Program/Grant Type: FWO Project - FWO Research Project
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
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