NEUROLOGICAL MUSIC THERAPY (NMT) IN AUTISM SPECTRUM DISORDER (ASD)
Bibliographic record
Abstract
Autistic Spectrum Disorder (ASD) involves persistent changes in communication, social interaction and restricted and repetitive patterns of behavior. Neurological Music Therapy (Neurologic Music Therapy - NMT) is an international therapeutic model based on neuroscience, composed of 20 standardized techniques that allow measurable interventions in the motor, linguistic and cognitive domains. This article deepens the neurobiological mechanisms underlying the NMT and discusses its applications in ASD, gathering recent scientific evidence that points to gains in motor coordination, attention, engagement and functional communication. Internationally, NMT is recognized as evidence-based practice and used in rehabilitation centers in Canada, the United States and Europe. In Brazil, however, its diffusion is still limited. Based on the experience of the author - neuropsychologist, neurotherapist, behavioral analyst, member of the World Federation for NeuroRehabilitation (WFNR), autistic individual and father of autistic children - this work proposes the NMT as a valid, safe and necessary tool in the field of neurorehabilitation and autism.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".