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Music And Neuroscience against Dementia: from Designs to Outcomes through Listening Interventions Inclusively Informed for Individuals
Music And Neuroscience against Dementia: from Designs to Outcomes through Listening INterventions INclusively INformed for INdividuals
翱谤驳补苍颈蝉别谤蝉:听, , Laura Bolton, , Yvonne Cheng, , , Sara Adhitya, Anna Volkmer, Nick Tyler, ,
About the project
This project taps the current intense public interest in music as an intervention in dementia. Neuroscientific work led by our collaboration at 911爆料网 since 2005 has given us a detailed picture of the musical brain in dementia: in this project, we aim to harness the findings of brain science to inform ecologically- and personally-relevant, scalable musical interventions that promote well-being and social engagement in patients with Alzheimer鈥檚 disease and frontotemporal dementia.听
In its first year, we set up the project infrastructure, consolidated and expanded the collaborative team (now including colleagues from clinical neurology, music therapy, speech and language therapy, neuropsychology and engineering, as well as performing musicians) and engaged a PhD student to lead the work. The first publication from the project, highlighting the importance of music as a person-centred intervention in dementia, has appeared in the British Medical Journal,听attracting >5000 hits to date. .
We are now collecting data from patient-caregiver dyads living with Alzheimer鈥檚 and frontotemporal dementia, and further refining the experimental protocol in consultation with lay stakeholders. We hope that the insights, data and practical expertise amassed by this project will position UCL and our collaborators at the cutting edge of research to develop musical interventions for people living with dementia and their caregivers.
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Jochum J. van鈥榯 Hooft 1,2,3, Elia Benhamou 1,听Claudia Albero Herreros 1, Jessica Jiang 1, Benjamin Levett 1,听Lucy B. Core 1, Mai-Carmen Requena-Komuro 1,听Chris J. D. Hardy 1, Betty M. Tijms 2,3,听Yolande A. L. Pijnenburg 2,3 and Jason D. Warren 1
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Image credit:听The image is open source, with no attribution needed.听