Neuropsychiatric Aspects in a Patient Diagnosed with Frontotemporal Dementia: Clinical Case of Low Incidence and Prevalence Disease in Colombia
Bibliographic record
Abstract
Frontotemporal dementia (FTD) is a neuropsychiatric pathology characterized by dysfunctions in the frontal lobe of the brain, especially in planning, execution, and inhibition tasks, with an inability to make decisions and handle different sequences, also affecting the temporal lobe. The patient presents alterations to store, consolidate, and recall information. These neurocognitive deficits are accompanied by neurobehavioral disorders such as depression, anxiety, and apathy that contribute to the worsening of the quality of life, with a high impact on the individual, social, and family level. To identify the neurobehavioral disorders and neurocognitive deterioration that present a patient diagnosed with FTD: clinical case of low incidence and prevalence disease in Colombia. A 40-year-old man, with progressive deterioration of his immediate verbal memory, low verbal fluency, aberrant motor behavior, sexual impulsivity, alterations in his executive functions, especially in planning tasks, decision-making, and inhibition was found to have a lesser degree of affectation in his visuospatial functioning and visuoconstructive abilities. It was found that the patient presents a severe dysexecutive syndrome associated with a clinical picture of FTD, correlated with an inability to process and recall information, accompanied by disorders such as depression, anxiety, and apathy. It is necessary to generate a functional neurorehabilitation plan that aims to improve the quality of life in these patients. In the same way, it is necessary to create new lines of research and intervention that have the purpose to create a greater field of heuristics or new questions in this type of neurodegenerative pathologies.
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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) | 0.001 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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".