Frontal infraslow activity marks the motor spasms of anti-LGI1 encephalitis
Bibliographic record
Abstract
OBJECTIVE: The clinical and electrographic features of seizures in anti-LGI1 encephalitis are distinct from those seen in other autoimmune encephalitides or non-encephalitic epilepsies. One electroclinical phenomenon specific to the condition consists of lateralized motor spasms, known as faciobrachial dystonic seizures (FBDS). An electrodecremental pattern overriding a "DC shift" has been described as the EEG correlate of these spasms. We sought to further characterize this pre-spasm infraslow activity (ISA). METHODS: Continuous video-EEG recordings were acquired in four patients with anti-LGI1 encephalitis: each had frequent motor spasms/FBDS as well as frequent subclinical temporal lobe seizures (an independent indicator of anti-LGI1 encephalitis). RESULTS: In artifact-free recordings obtained using clinical amplifiers equipped with a low frequency analog filter of 0.07 Hz, ISA reliably preceded clinical onset of the motor spasms by ∼1.2 s and preceded the electrodecremental pattern by ∼700 ms. Pre-spasm ISA was invariably recorded contralateral to FBDS, with a voltage topographic maximum over the mid frontal region. The pre-movement ISA differed from the Bereitschaftspotential in timing and topography and was an order of magnitude higher in amplitude. Sporadic FBDS that occurred in association with temporal lobe seizures were preceded by identical ISA. CONCLUSIONS: The motor spasms of anti-LGI1 encephalitis are preceded by frontal ISA. A paucity of data at the microscale level precludes mechanistic explanations at the macroscale level, or even determination of the relative contributions of neurons and glia in the generation of the ISA. SIGNIFICANCE: Although fundamental cellular mechanisms await elucidation, the pre-spasm ISA represents a singular and readily identifiable EEG response to this autoimmune brain disorder.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".