Intractable Epilepsy Controlled by Neurofeedback and Adjunctive Treatments: A Case Report
Bibliographic record
Abstract
This case report documents the treatment of a female patient with intractable temporal lobe epilepsy with secondary generalization. At the age of 13, the patient was hospitalized with ~120 seizures in a day, some of which were life-threatening. After hospital discharge, despite a regimen of multiple antiseizure medications, the patient still experienced ~90 seizures per day. After the interventions described in this work, over 500 neurofeedback sessions guided by EEG or qEEG data and adjunctive treatments including mental skills coaching, the patient became seizure- and medication-free, progressing from poor academic performance and inability to carry out normal daily life to attending university as a student athlete playing an NCAA Division I sport. This case emphasizes that, with professional guidance and supervision, it is possible for people with epilepsy or their caregivers to provide the extensive, long-term neurofeedback and adjunctive training necessary for reduction and control of intractable seizures.
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| 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".