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Record W4403311012 · doi:10.52403/ijhsr.20241025

To Evaluate and Distinguish the Effects of Art Therapy and Visual Color Cues to Ameliorate the Symptoms of Parkinson’s Disease - A Pilot Study

2024· article· en· W4403311012 on OpenAlexaboutno aff
Nishtha Sharma, Monika Sharma

Bibliographic record

VenueInternational Journal of Health Sciences and Research · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiseaseParkinson's diseasePathology

Abstract

fetched live from OpenAlex

Parkinson’s disease is the 2nd most common neurodegenerative disease that worsens with time and mostly affects movement. The disease depicts complex multi-system symptomatology which includes both motor as well as non-motor manifestations. Complementary and alternative remedies are increasingly being used to treat its symptoms. Acknowledging the complex nature of Parkinson's disease (PD) symptoms, this research aims to treat both motor and non-motor symptoms, with a particular emphasis on gait abnormalities and cognitive loss. The study intends to examine how well two intervention strategies—visual color signals and art therapy— to improve overall cognitive functionality and FOG in people with Parkinson's disease. OBJECTIVES: Study aimed to determine and distinguish the effectiveness of Art Therapy and Visual Color Cues on mainly cognitive skills and gait pattern in Parkinson's sufferers. The research aims to further our understanding of the connection between PD patients' gait, cognition, and treatment interventions. Through an extensive analysis of recent research findings and literature, the study seeks to provide light on how these factors interact and the potential effectiveness of different treatment approaches in treating Parkinson's disease symptoms. METHOD: This study included 30 Parkinson's patients. In order to evaluate the efficacy of art therapy and visual cue training as two intervention modalities in enhancing cognitive abilities and freezing of gait (FOG) in individuals with Parkinson's disease (PD), a randomized controlled experiment was carried out. Each intervention group consisted of 15 individuals who were assessed before and after the trials, randomized at random to undergo 6 weeks of therapies, which included regular physiotherapy sessions three times a week for 40 minutes each. The art therapy group participated in a variety of creative activities meant to improve gait, attention, motivation, emotional control, and cognitive performance. However, the visual cue training group learned how to employ visual cues—like colored papers or objects on the floor—to enhance gait start and turning as well as cognitive status. The results of the six-week therapy period based on MOCA and Mini BESTest scores were compared to ascertain the effectiveness of each strategy in treating FOG and cognitive function in individuals with Parkinson's disease. RESULTS: When Art Therapy (AT) and Visual Color Cues (VCC) were compared for Parkinson's patients, it was discovered that AT improved cognitive performance more as measured by improved Montreal Cognitive Assessment (MOCA) scores. Patient’s outcomes for mobility and balance, as determined by the Mini-BES Test, differed, with some responding better to VCC and others to AT. The necessity for individualized treatment methods was highlighted by statistical analysis, which demonstrated substantial variations in MOCA and Mini-BES Test ratings among the two regimens. CONCLUSION: This study concluded that both AT and VCC significantly improve cognitive function and gait performance in PD patients. However, the nature of the improvements suggests that while AT may have a more substantial impact on cognitive functions, VCC may be more effective in enhancing motor functions. Altogether, Art Therapy and Visual Color Cues both present viable non-pharmacological interventions for improving the symptoms of Parkinson’s Disease. Key words: Art Therapy; Visual Color Cues; MOCA; Mini BES Test; Parkinson Disease; FOG; Visuo-spatial Functions; Cognition

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.157
GPT teacher head0.488
Teacher spread0.331 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2024
Admission routes1
Has abstractyes

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