Frontotemporal dementia with cortico-basal syndrome
Bibliographic record
Abstract
FTD is a group of neurodegenerative diseases with progressive deterioration of behavioral and speech disorders, morphologically associated with pathology of the frontal or temporal lobes. International clinical trials have made it possible to define modern diagnostic criteria for various subtypes of clinically «possible/probable» FTD. Our article is devoted to one of the rare subtypes of frontotemporal dementia (FTD), corticobasal syndrome (CBD), in which we presented a review of current data with a demonstration of clinical observation. A clinical case of a patient with a patient with speech disorders and memory impairment is presented. A 60-year-old man at the time of the outpatient visit had been complaining of speech impairment for two years, a slight decrease in memory for current events. Neurological and neuropsychological studies revealed two leading clinical syndromes in the patient: «frontal» syndrome with impaired higher cortical functions in the form of efferent motor aphasia, impaired writing and reading with visual-spatial agnosia and dysgraphia, «frontal» signs (positive «palm-mouth «and» grasping «reflexes); «Corticobasal syndrome» with pronounced dynamic, optic-kinesthetic dyspraxia, dermolexia, apraxia of closing the eyes, «alien» hand syndrome with symptoms of levitation and intermanual conflict. MRI diagnostics revealed changes characteristic of neurodegeneration of the frontotemporal type (atrophy of the frontal and temporal lobes prevails). Taking into account complaints, anamnesis of the disease, identified clinical syndromes and structural changes according to MRI data, the patient was diagnosed with a clinically «probable» FTD. Determination and accurate diagnosis of FTD subtypes will help the neurologist in managing these patients with the appointment of the correct pharmacologic treatment. In FTD, in contrast to AD patients, the administration of cholinesterase inhibitors does not lead to a positive therapeutic effect a positive therapeutic effect and, therefore, is not advisable. The standards of patient therapy should include recommendations for antipsychotic therapy, the use of antidepressants (SSRIs) and anxiolytics with nootropic effects for the correction of affective and behavioral disorders.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".