A Common Movement Abnormality In Patients With LGI1 Limbic Encephalitis Is A Manifestation Of Tonic Seizures. (P5.246)
Bibliographic record
Abstract
OBJECTIVE/BACKGROUND: Temporal lobe seizures and memory loss are common features of anti-LGI1 limbic encephalitis (LGI1-LE), previously attributed to voltage-gated potassium channel-antibodies. Abnormal, involuntary movements have been described in up to 40% of patients with LGI1-LE. The motor movements are not absolutely typical of dyskinesias or myoclonus. However, in the literature they were described as “twitches”, “myoclonus” or “stereotyped brief monomorphic movements”. DESIGN/METHODS: Here we describe 3 patients with such typical movements happening 10 to 100 times per day. Serology tests were positive for anti-LGI1-antibodies in all. Continuous video-EEG recordings demonstrated that these events were associated with an ictal EDE pattern seen on scalp EEG, typical for tonic motor seizures, consistent with remote onset and propagation of ictal activity. RESULTS: The unusual nature of these tonic seizures, when seen in the setting of an acute encephalopathy, and especially in patients with other, unrelated, temporal maximum ictal EEG abnormalities, should serve as a diagnostic clue to the possibility that the acute encephalopathy may be LGI1-LE. CONCLUSIONS: It should be noted that these tonic seizures may present with abnormal movements similar to those described above, even without a definitive ictal EEG recording, as the latter may only be seen in association with the more prolonged 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".