Postoperative Myoclonus After Epilepsy Surgery: A Case Report
Bibliographic record
Abstract
Accurate diagnosis of myoclonus after epilepsy surgery is important to determine the surgical outcome in patients with intractable epilepsy. Emerged bilateral myoclonus in a 53-year-old man after surgical resection for treatment of traumatic refractory epilepsy is reported. An electroencephalography correlate of the myoclonic jerks with cortical potentials was not observed. Treatment with clonazepam significantly reduced the myoclonic twitching. The possible mechanism and differential diagnosis between non-epileptic and epileptic myoclonus following brain surgery are discussed. To avoid misdiagnosis and ensure appropriate treatment, the origin of jerking mimicking epileptic myoclonus after brain surgeries needs to be carefully investigated. J Med Cases. 2016;7(5):164-167 doi: http://dx.doi.org/10.14740/jmc2471w
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 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".