Age aspect of neurophysiological diagnostics of post-concussion syndrome in patients with mild blast traumatic brain injury
Bibliographic record
Abstract
Introduction. It is generally accepted that age influences neuropsychological and neurophysiological findings due to a decrease in memory and attention in older age groups as a result of diseases and damage to the central nervous system of various origins. This should be taken into account when dealing with patients who underwent mild blast traumatic brain injury (mbTBI), and focus on standard characteristics considering the age factor. Purpose: to investigate the influence of the age factor on the characteristics of cognitive evoked potentials in patients with post-concussion syndrome (PCS) in the long-term period of mbTBI. Materials and methods. The study involved 41 patients with PCS aged 18-45 years (study group) and 30 healthy subjects (control group). The patients were in the late period of trauma (from 6 months to 3 years). The age distribution of patients in the study group was the following: 6 patients under 30 years old, 18 patients aged 31-40 years, 17 patients over 40 years old. Neuropsychological testing was performed according to the Montreal Cognitive Assessment Scale. Quantitative electroencephalography was performed according to standard parameters (sensitivity ‒ 70 μV/cm, time constant ‒ 0.1 s, filter ‒ 40 Hz). The results. Neurophysiological testing using the CEP P300 method allows us to verify the dysfunction of brain activity in the form of attention and memory disorders in patients with PCS as a result of mbTBI in the chronic period of damage. Exceeding the upper limit of the age norm of P2 and P3 latency components of CEP P300 is statistically significantly associated with the presence of cognitive impairment in patients with PCS. Conclusions. The CEP P300 method can be recommended for the use in the complex diagnostics of cognitive disorders in patients with PCS in the subacute and chronic periods of the injury. In the clinical interpretation of latency characteristics of CEP P300 components, it is reasonable to focus on standard parameters, including age factor.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".