Catatonia and neurocognitive disorder in the context of schizophrenia spectrum disorders
Bibliographic record
Abstract
Background. Currently, researchers are aiming to establish the relationship between neurocognitive disorder and other clinical manifestations of endogenous diseases and functional indicators of the patient’s adaptation to social life. According to some data, the development of cognitive disorders is associated with the severity of catatonic disorders in the clinical picture of various diseases, in particular the presence of catatonic symptoms determines the worst indicators of cognitive functioning in the case of schizophrenia. The aim. To study the clinical and psychopathological features of catatonic syndrome in connection with schizophrenia spectrum disorders, as well as its connection with neurocognitive disorder manifestations among patients with endogenous disorders. Methods. From September 2022 to March 2024, we conducted a prospective, multicenter study of patients (n = 69) suffering from paroxysmal schizophrenia with primary catatonic symptoms in the structure of attacks. Mental status, the severity of catatonic symptoms using Bush – Francis Catatonia Rating Scale, neurocognitive profile using a number of validated scales (Montreal Cognitive Scale, Brief Assessment of Cognition in Schizophrenia, Frontal Assessment Battery) were assessed. Results. Neurocognitive disorder was revealed in all cases studied. It has been noted that, depending on the presence/absence of affective symptoms, various domains of the neurocognitive profile are affected. Thus, in patients without severe affective symptoms, auditory and verbal memory, attention, processing speed, and motor skills are impaired. In patients with pronounced affective disorders, processing speed, motor skills, and problem-solving behavior are affected. Conclusion. Based on the results of processing the material, it was revealed that the most pronounced neurocognitive disorders were found in case of the manifestation of paroxysmal paranoid schizophrenia in male patients with a relatively early onset of the disease and hypokinetic catatonic disorders. In the future, we are planning to compare these results with the results of control group of patients with endogenous diseases and without catatonia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".