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Record W3212677039 · doi:10.26685/urncst.309

The Use of a Novel Neurologic Music Therapy Program to Improve Cognition and Emotional Affect in Individuals with Mild to Severe Dementia: A Research Protocol

2021· article· en· W3212677039 on OpenAlexaff
Raymond Tolentino, Aoife McMahon, Erika Coward

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2021
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of GuelphMcMaster University
Fundersnot available
KeywordsDementiaCognitionAffect (linguistics)Intervention (counseling)Clinical psychologyPsychologySevere dementiaQuality of life (healthcare)Music therapyPsychiatryRandomized controlled trialMedicinePsychotherapistDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Dementia is a prevalent neurodegenerative disorder that interferes with independent and daily functioning. In addition to cognitive decline, individuals with dementia experience behavioural and psychological symptoms of dementia (BPSD), which involves neuropsychiatric disturbances such as agitation. Studies have suggested music therapy to be an effective part of treatment of individuals with dementia as a method to increase both cognitive function and quality of life (QoL). Therefore, this study aims to construct and test a novel neurologic music therapy (NMT) program to optimize the improvement of cognition and emotional affect in those with mild to severe stages of dementia. Methods: This research will be designed as a randomized-controlled crossover study, where two groups of participants will be examined: those with mild to moderate dementia and those with severe dementia. The first eight weeks will consist of a no-treatment control period, and the last eight weeks consist of the treatment period, where both participant groups will undergo cognitive and QoL testing at various times. Expected Results: By comparing the eight-week control period to the eight-week intervention, the results of the study may indicate that NMT benefits individuals with dementia, particularly within the mild to moderate group. Following the intervention, improved cognition, emotional affect, and reduced levels of BPSD in individuals with mild to moderate dementia are anticipated. Participants with severe dementia are expected to have slight improvements within BPSD and emotional affect, and little to no improvement in cognition. Discussion: Few studies have used NMT as an intervention to treat dementia, with no study utilizing a combination of the three NMT techniques proposed in this study. Furthermore, there has been limited literature focusing on individuals with severe dementia. This proposed study will thus allow for further research on this population. Conclusion: The proposed NMT program aims to reduce BPSD, and improve emotional affect and cognition within individuals with mild to severe dementia. Future studies may be conducted to examine whether introducing the proposed NMT program may act as a preventative measure of dementia-related cognitive decline.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.009
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0030.002
Science and technology studies0.0050.002
Scholarly communication0.0020.002
Open science0.0040.002
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0190.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.286
GPT teacher head0.523
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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