A Case Report of Response to Quetiapine Treatment in Neuropsychiatric Manifestations of Juvenile Huntington\'s Disease (JHD)
Bibliographic record
Abstract
Background and Objective: Juvenile Huntington’s disease (JHD) represents a rare form of neurodegenerative genetic disorder characterized by potential neuropsychiatric symptoms. Within the broader spectrum of Huntington’s disease (HD), JHD cases constitute a relatively small subset. The importance of understanding JHD lies in its distinct clinical presentation, particularly the emergence of primary psychiatric symptoms during different phases of the disease. The purpose of this case report is to highlight the clinical manifestation and treatment outcome of a JHD patient, focusing on mood and behavioral changes following the initiation of Quetiapine treatment. Case Report: The patient is an 18-year-old woman presented with prominent neurological and psychological symptoms including mood symptoms, self-harm, and suicidal attempts. Neurocognitive assessment using the Montreal Cognitive Assessment Test revealed impairment with a score of 17 out of 30. The patient had mild neurocognitive impairment due to JHD. Sodium valproate was initially prescribed, and due to the presence of mood symptoms, irritability, and behavioral problems, quetiapine was added to the treatment regimen, which resulted in significant improvement in the patient's mood. The patient was discharged with Quetiapine 150 mg and Epilim 600 mg once a night. During the two-week follow-up, the patient showed significant improvement in mood regulation and self-harm behaviors after starting Quetiapine. Conclusion: The results of this case report emphasize the effectiveness of Quetiapine in improving mood, suicide attempt, and behavioral symptoms in JHD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".