Neurodevelopmental outcomes in children with Angelman syndrome after 1 year of behavioural intervention
Bibliographic record
Abstract
OBJECTIVE: To examine the impact of teaching approaches based on the principles of applied behaviour analysis (ABA) on neurodevelopmental outcomes in children with Angelman syndrome (AS). METHODS: A non-randomized pre-test-post-test control group design was used. The intervention group consisted of four children with AS aged 3.1-9.2 years. Controls were other children with AS who were individually matched on the basis of chronological age, gender and molecular sub-type. Children in the intervention group were provided two-to-three ABA-based therapy sessions per week over a 1-year period. Standardized measures of cognitive, adaptive and language functioning were administered at baseline and after 1 year. RESULTS: There were no statistically significant differences between the two groups at baseline or after 1 year. However, positive trends were observed in the intervention group for some cognitive and adaptive measures. CONCLUSION: ABA-based intervention improved aspects of neurodevelopment for some children with AS and warrants further study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".