Functional abilities and neuropsychological dysfunctions in young children with autism and with intellectual disabilities
Bibliographic record
Abstract
The aim of this exploratory study was to investigate the association between early functional abilities and neuropsychological dysfunction (including dysregulation of activity) in 12 children with intellectual disabilities (ID group) and in 12 children with autism-spectrum disorders and ID (ASD group) matched on their developmental age (18 months). First, in both clinical groups, overall dysregulation was negatively correlated with functional abilities. Only in the ASD group was overall neuropsychological dysfunction negatively correlated with functional abilities. Second, data for variability in patterns of negative links between functional abilities and respectively types of dysregulation and dysfunctions in neuropsychological functions (attention, perception, association, regulation) between the two groups were obtained. Correlations were more numerous and intense within the ASD group than the ID group. Cluster analysis by total number of cases allowed differentiation between the two groups according to diagnosis, total dysfunction and total dysregulation, but not according to total-functional abilities or chronological age. When the same analysis was applied within each group separately, children with ASD could be differentiated into two sub-groups, variously, according to total dysfunction, total dysregulation and total-functional abilities. Children with ID could be differentiated into two sub-groups according to total dysfunction only. So, this study showed the possibility of early discrimination of atypical children according to the individual dynamic of links between their daily-life functional abilities, their neuropsychological dysfunction and their dysregulation during their activities, using new instruments of assessments.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".