Severe Neuropsychiatric Symptoms in Multiple Cerebral Microbleeds due to Probable Cerebral Amyloid Angiopathy: A Case Study
Bibliographic record
Abstract
Multiple cerebral microhemorrhages are a common feature of cerebral amyloid angiopathy (CAA), a cerebrovascular disorder contributing to cognitive impairment.While CAA-related cognitive and functional deterioration has been wellestablished within the literature, emerging work suggests that neuropsychiatric symptoms (NPS), such as depression, behavioural issues, and personality changes, are clinical manifestations of the disorder.Recent seminal work has revealed that patients with probable CAA were shown to experience various NPS, especially depression and emotional dysregulation, at a greater frequency and severity than healthy controls.Additionally, a significant association has been demonstrated between severe psychotic symptoms and advanced CAA in autopsied individuals with Alzheimer's disease.In this report, we present a case of probable CAA that highlights severe NPS within the disorder.A 72-year-old male was admitted into a local hospital to stabilize behavioural and psychological symptoms after revealing suicidal ideation to a former partner due to the state of his financial affairs.Past medical and psychiatric history revealed a three-year history of cognitive decline, long-standing personality changes, and multiple suicide attempts, with comorbidities of probable CAA, depression, and alcohol use disorder.He underwent neuropsychological testing, where he performed poorly across several cognitive domains assessed, demonstrating markedly poor executive function, processing speed, and memory.Neuroimaging revealed severe chronic microangiopathy, mild-tomoderate generalized volume loss, and multiple cerebral microhemorrhages.While the current case aligns with the reviewed literature findings, the observed suicidal behaviour, and vulnerability to financial exploitation suggest careful reconsideration of the clinical manifestations of CAA.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| 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".