Music Therapy in the Treatment of Depression: Implications for Individuals Recovering from Non-degenerative, Acquired Brain Injury (ABI)
Bibliographic record
Abstract
Stroke is a prevalent disease, and the leading cause of disability from neurological disorder worldwide. The emotional impact a stroke may have on a person and occurrence of depression can affect their readiness to engage in rehabilitation, their functional outcomes, and their ability to reintegrate socially. Depression often goes undiagnosed and untreated. Music and music therapy have the potential to access and effect change concurrently in multiple domains, making it a valued method for facilitating non-pharmacological, therapeutic change while supporting a person’s emotional needs. Music therapy interventions may provide motivation for participation in rehabilitation, as well as facilitate goal acquisition in physical, psychosocial, emotional, communicative and cognitive domains. This paper explores the role of motivation, evidence of music-induced affective responding, therapeutic effects of music interventions on mood, physiological and neural correlates, social interaction, music therapy implications for individuals recovering from acquired brain injury, and future directions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".