Serum neurofilament light chain in patients with epilepsy and cognitive impairment
Bibliographic record
Abstract
Abstract Background The neurofilament light chain (NfL) is receiving increased attention as a biomarker of neurological diseases, as NfL concentration elevated in the blood and cerebrospinal fluid after neuronal damage. However, few studies have addressed NfL in epilepsy. We aimed to investigate the alteration of serum NfL in adult patients with epilepsy, and the association between this biomarker and cognitive impairment. Methods A total of 38 consecutive patients with epilepsy and 24 controls underwent cross‐sectional measurement of serum NfL levels and cognitive testing using the Mini‐Mental State Examination (MMSE), the Japanese version of the Montreal Cognitive Assessment (MoCA‐J), the Frontal Assessment Battery (FAB), the Trail‐Making Test, and the Stroop Color–Word Test. Statistical analysis was performed with Student’s t ‐test to compare serum NfL levels between the epilepsy group and the control group, and with Spearman’s correlation and age‐corrected partial correlation analyses to evaluate the association between serum NfL level and cognitive impairment in epilepst patients. Results There was no difference in serum NfL levels between the epilepsy and control groups (epilepsy [mean ± SD]: 17.3 ± 13.9 pg/mL; control: 17.7 ± 11.5 pg/mL; p = .92); however, the MoCA‐J scores were lower in the epilepsy group (26.6 ± 3.1 vs. 28.1 ± 1.6; p = .03). The age‐corrected partial correlation analysis showed a correlation between serum NfL level and cognitive test scores in the epilepsy group (MMSE: r s = −.63, p < .01; MoCA‐J: r s = −.54, p < .01; FAB: r s = −.68, p < .01), whereas serum NfL levels were correlated exclusively with MMSE scores in the control group ( r s = .44, p = .04). Significance In adult epilepsy patients, the serum NfL level was not significantly elevated, but was correlated with cognitive test scores. Our findings suggest that serum NfL concentration could be an indicator of cognitive function in epilepsy patients.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".