Autosomal dominant cerebellar ataxia, deafness, and narcolepsy (ADCA-DN) associated with progressive cognitive and behavioral deterioration.
Bibliographic record
Abstract
OBJECTIVE: Autosomal dominant cerebellar ataxia with deafness and narcolepsy (ADCA-DN) is an emerging syndrome caused by mutations in the C-terminus end of the TS domain of the DNMT1 gene. ADCA-DN is also associated with sensorimotor polyneuropathy, extrapyramidal, and dysautonomic signs, as well as dementia. Little has been reported about the progressive cognitive impairment associated with ADCA-DN. Our objective is to provide a detailed characterization of the cognitive profile of ADCA-DN. METHOD: Three members of a kindred with ADCA-DN underwent comprehensive neuropsychological testing and neuroimaging. RESULTS: At baseline, 2 individuals demonstrated cognitive profiles with executive difficulties in some areas consistent with frontal-system dysfunction behaviorally and on standardized testing. The third individual was further in the disease course and exhibited more globally impaired cognition consistent with a diagnosis of dementia. CONCLUSIONS: This family demonstrated progressive neurodegeneration beginning with isolated areas of executive dysfunction and leading to globally impaired cognition and dementia. Cognitive decline occurred in parallel with neurological deterioration. The cognitive profile is similar to case reports of other individuals with an allelic neurological phenotype, Hereditary Sensory Autonomic Neuropathy 1E, also caused by DNMT1 mutations. (PsycINFO Database Record
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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 | 0.000 | 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) | 0.003 | 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".