Neuropsychiatric Aspects in a Patient Diagnosed with Corticobasal Degeneration: Clinical Case of Low Incidence and Prevalence in Colombia
Bibliographic record
Abstract
Corticobasal degeneration (CBD) is a pathology of low incidence and prevalence worldwide; it is accompanied by symptoms such as dystonia, rigid akinetic syndrome (bradykinesia), gait disturbances, neurological deterioration associated with severe cortical subcortical atrophy, and progressive to moderate to severe neurocognitive deficits, especially in immediate verbal memory and dorsolateral or dysexecutive syndrome. We identified neurocognitive impairment and neuropsychiatric symptoms in a patient diagnosed with CBD. Participant was a 70-year-old female patient, single; she presented progressive memory loss of an immediate verbal nature. Initially, she was diagnosed with Alzheimer's disease and Lewy body dementia, finding that she had no characteristic signs and symptoms of these pathologies. The patient presented conciliation insomnia, gait disturbances, and severe neurocognitive deficit, especially in executive functions, immediate verbal memory, and visuospatial functioning. It was found that the patient presented neurocognitive alterations of the executive type (frontal lobe) such as decision making, planning, inhibition and operative memory, correlated with a severe alteration in her basic, instrumental and advanced activities of daily life, with a high risk factor for developing dementia. It is necessary to diagnose in an assertive and timely manner in order to generate functional neurorehabilitation plans in people diagnosed with CBD, with the main objective of positively impacting quality of life, at the individual, family, and social level.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".