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Record W4408162265 · doi:10.1002/epd2.70006

Suspicious looking mu rhythm on <scp>SEEG</scp>

2025· article· en· W4408162265 on OpenAlexaff
A. Soni, Ana Suller Martí, Giovanni Pellegrino

Bibliographic record

VenueEpileptic Disorders · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsStereoelectroencephalographyRhythmNeuroscienceMedicinePsychologyElectroencephalographyInternal medicineEpilepsy surgery

Abstract

fetched live from OpenAlex

A 39-year-old gentleman was investigated with stereo-electroencephalography (SEEG) in the context of multiple cavernomas (left posterior frontal and parietal) and recurrent seizures despite a previous left amygdalectomy. Abundant high-amplitude activity in long runs was suspected to be epileptiform due to its morphology and close association with the left parietal cavernoma. With right hand movement and sleep, the discharges consistently attenuated, in contrast to other epileptiform discharges, leading us to conclude that it was mu rhythm (Figures 1 and 2). Mu rhythm, a well-recognized variant of the dominant alpha/beta rhythms seen in the central sensori-motor regions,1 is blocked by contralateral voluntary/passive movement or somatosensory stimulation.2 Its generating sources are located at the somatosensory cortex.3-5 To the best of our knowledge, there is only one other study that assessed mu in three patients with SEEG.6 Literature on the appearance of normal variants in SEEG is lacking. Care should be taken that physiological rhythms are not mistaken for epileptiform activity. When in doubt, reactivity and activity protocols can be helpful. No funding information. AJS has no relevant disclosures. ASM has no relevant disclosures. GP has no relevant disclosures. Telephonic consent for publication was obtained from the patient. The data that support the findings of this study are available from the corresponding author upon reasonable request. Data S1. Data S2. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. How can normal variant mu rhythm present on SEEG? Where is mu rhythm most commonly seen? What attenuates mu rhythm, both on scalp and stereo-EEG? Answers may be found in the Supporting information.

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.273
Teacher spread0.268 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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