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Published in: Neurological Sciences 5/2021

01-05-2021 | Vascular Dementia | Brief Communication

Communication improvement reduces BPSD: a music therapy study based on artificial neural networks

Authors: Alfredo Raglio, Daniele Bellandi, Luca Manzoni, Enzo Grossi

Published in: Neurological Sciences | Issue 5/2021

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Abstract

Background

Literature showed the effects of music therapy on behavioral disturbances, cognitive functions, and on quality of life in people with dementia. Especially, relational active music therapy approach is oriented to reduce behavioral disturbances increasing communication, especially non-verbal communication.

Objective

This study aimed at exploring the connection between the baseline characteristics of responders and the positive outcome of the intervention, but also the close relationship between the behavioral disturbances and the core of the therapeutic intervention (the relationship/communication improvement).

Method

Linear correlation index between input variables and the presence of a critical improvement of behavioral symptoms according Neuropsychiatric Inventory and a semantic connectivity map were used to determine, respectively, variables predictive of the response and complex connections between clinical variables and the relational nature of active music therapy intervention. The dataset was composed of 27 variables and 70 patients with a moderate-severe stage of dementia and behavioral disturbances.

Results

The main predictive factor is the Barthel Index, followed by NPI and some of its sub-items (mainly, Disinhibition, Depression, Hallucinations, Irritability, Aberrant Motor Activity, and Agitation). Moreover, the semantic map underlines how the improvement in communication/relationship is directly linked to “responder” variable. “Responder” variable is also connected to “age,” “Mini Mental State Examination,” and sex (“female”).

Conclusions

The study confirms the appropriateness of active music therapy in the reduction of behavioral disturbances and also highlights how unsupervised artificial neural networks models can support clinical practice in defining predictive factors and exploring the correlation between characteristics of therapeutic-rehabilitative interventions and related outcomes.
Literature
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go back to reference Raglio A, Bellandi D, Baiardi P, Gianotti M, Ubezio MC, Zanacchi E, Granieri E, Imbriani M, Stramba-Badiale M (2015) Effect of active music therapy and individualized listening to music on dementia: a multicenter randomized controlled trial. J Am Geriatr Soc 63:1534–1539. https://doi.org/10.1111/jgs.13558CrossRefPubMed Raglio A, Bellandi D, Baiardi P, Gianotti M, Ubezio MC, Zanacchi E, Granieri E, Imbriani M, Stramba-Badiale M (2015) Effect of active music therapy and individualized listening to music on dementia: a multicenter randomized controlled trial. J Am Geriatr Soc 63:1534–1539. https://​doi.​org/​10.​1111/​jgs.​13558CrossRefPubMed
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Metadata
Title
Communication improvement reduces BPSD: a music therapy study based on artificial neural networks
Authors
Alfredo Raglio
Daniele Bellandi
Luca Manzoni
Enzo Grossi
Publication date
01-05-2021
Publisher
Springer International Publishing
Published in
Neurological Sciences / Issue 5/2021
Print ISSN: 1590-1874
Electronic ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-020-04986-2

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