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Record W2152072338 · doi:10.1515/joepi-2015-0019

Ictal Forced Repetitive Swearing in Frontal Lobe Epilepsy: Case report and review of the literature

2014· article· en· W2152072338 on OpenAlex

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

VenueJournal of Epileptology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSwearing, Euphemism, Multilingualism
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIctalAutomatism (medicine)Frontal lobeCortical dysplasiaEpilepsyMedicineIctal-Interictal SPECT Analysis by SPMPsychologyNeuropathologyAudiologyNeurosciencePathology

Abstract

fetched live from OpenAlex

SUMMARY Introduction. Dominant presentation of ictal forced repetitive swearing has been rarely addressed and could be misdiagnosed. Case report. We report a 45-year-old man with a long history of right frontal lobe epilepsy (FLE) who developed forced repetitive swearing during hypermotor seizures. His seizures were refractory to different antiepileptic drugs (AEDs). Scalp video-EEG telemetry suggested a right frontal epileptic focus. Magnetic resonance imaging (MRI) suggested focal cortical dysplasia (FCD) in the right mesial frontal lobe. Intracranial implantation with video-EEG recordings confirmed seizures originating from the MRI lesion. Patient underwent right frontal lobe resection followed by seizure freedom in the last five years on a single AED. Neuropathology confirmed FCD type IIB. Discussion. The following aspects of the case are discussed: FLE and ictal vocalization, swearing, FLE and aggression. We emphasize the differences among ictal vocalisation, verbal automatism and ictal speech. We propose that ictal swearing might fit a verbal automatism definition. Conclusion. Ictal forced repetitive swearing can be a manifestation of hypermotor seizures in FLE and should not be misdiagnosed.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.320
Teacher spread0.307 · 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