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Record W4414160657 · doi:10.1002/epi4.70136

Epileptic drop attacks: More than just atonic seizures

2025· article· en· W4414160657 on OpenAlex
Tomonori Ono, Kazuaki Sato, Ryoko Honda, Hiroshi Otsubo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEpilepsia Open · 2025
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsEpilepsyEpileptic seizureCorpus callosotomySeizure typesElectroencephalographyEpilepsy surgery

Abstract

fetched live from OpenAlex

"Drop attacks" are not officially defined by the International League Against Epilepsy. Seizures are characterized by a sudden loss of control over the trunk and posture, leading to falls and injuries, and resolving within a few seconds. Accurately diagnosing the type of seizure is usually difficult due to limitations in clinical documentation based on witness or physician inspections. Historically, epileptic drop attacks have been considered primarily-and almost exclusively-atonic seizures. However, numerous studies using simultaneous video-electroencephalography and electromyography recordings have shown that drop attacks are rarely pure atonic seizures but are often epileptic spasms or other types of seizures with increased muscle tone. Some medical treatments reduce the frequency of epileptic drop attacks; however, their effectiveness has not been evaluated based on the type of seizure or pathophysiology. Corpus callosotomy is an effective surgical option that reduces the frequency and severity of epileptic drop attacks, especially in patients with Lennox-Gastaut syndrome. Recent studies suggest that epileptic spasms are cortically or hemispherically generated seizures and that disconnecting the corpus callosum potentially interrupts bilaterally synchronous seizure activities, supporting the rationale for surgery in patients with epileptic drop attacks. The effectiveness of each treatment should be reevaluated based on seizure type and the pathophysiology of epileptic drop attacks, properly distinguished in the future. PLAIN LANGUAGE SUMMARY: Epileptic drop attacks are sudden falls caused by seizures, often leading to injuries. While these attacks were once thought to be mainly due to atonic seizures, recent studies using video-EEG-electromyography recordings showed that they are more often caused by other types of seizures, such as epileptic spasms. Diagnosing the exact seizure type is complicated but important, as it affects treatment options including surgical approaches like corpus callosotomy. Further studies based on the specific underlying pathophysiology of epileptic drop attacks are needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.041
GPT teacher head0.401
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it