Levodopa-responsive dystonia, parkinsonism, and treatment-resistant schizoaffective disorder in Williams syndrome
Bibliographic record
Abstract
BACKGROUND: Williams syndrome (WS; chromosome 7q11.23 deletion) is a rare, multisystemic, neurodevelopmental disorder with variable penetrance and expressivity. Although movement and psychiatric disorders are known to occur in individuals with WS, parkinsonism, dystonia, and treatment-resistant schizoaffective disorder have not been formally described. METHODS: We present two unrelated cases of adults with molecularly confirmed WS and typical histories of developmental delays, intellectual/learning disabilities, and treatment-responsive anxiety/mood disorder who developed similar noteworthy neuropsychiatric expressions. We reviewed detailed neuropsychiatric histories, laboratory investigations, neuroimaging, and treatment responses and compared data for the two cases. RESULTS: Both individuals developed treatment-resistant schizoaffective disorder in adulthood requiring multiple trials of antipsychotic treatments. While on clozapine, both patients developed parkinsonism and generalized dystonia with truncal involvement that responded to trials of low-dose levodopa without exacerbating underlying psychotic or affective symptoms. CONCLUSION: This report illustrates the novel occurrence of levodopa-responsive movement disorders and treatment-resistant schizoaffective disorder in individuals with WS, adding to the expanding neuropsychiatric phenotypes, and highlighting potential shared underlying mechanisms. The observed treatment response suggests that levodopa, in relatively low doses, may be safe and useful in ameliorating presumed antipsychotic-associated parkinsonism and tardive dystonia in WS.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".