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Record W2590720381 · doi:10.1073/pnas.1614447114

In vivo imaging reveals that pregabalin inhibits cortical spreading depression and propagation to subcortical brain structures

2017· article· en· W2590720381 on OpenAlexafffund
Stuart M. Cain, Barry Bohnet, Jeffrey LeDue, Andrew Yung, Esperanza Garcı́a, John R. Tyson, Sascha R.A. Alles, Huili Han, Arn M. J. M. van den Maagdenberg, Piotr Kozłowski, Brian A. MacVicar, Terrance P. Snutch

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2017
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
FundersCanadian Institutes of Health ResearchGovernment of CanadaBC Epilepsy Society
KeywordsPregabalinCortical spreading depressionIn vivoMigraineMedicinePharmacologyAnesthesiaNeuroscienceBiology

Abstract

fetched live from OpenAlex

Significance Spreading depression is proposed to underlie migraine with aura, a type of debilitating headache for which few pharmacological treatments are available. The pain drug pregabalin has demonstrated initial promising results for the treatment of migraine in the clinic. Utilizing animal models of congenital migraine and live brain imaging, we describe the cortical and subcortical migration of the spreading depression wave. Further, pregabalin is shown to be effective at suppressing spreading depression initiation, wave speed, and subcortical propagation, and also to affect nerve cell signalling directly. Overall, the study supports the therapeutic potential of pregabalin in both noncongenital migraineurs and patients with mild congenital migraine.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.236
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.051
GPT teacher head0.366
Teacher spread0.315 · 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 designObservational
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

Citations57
Published2017
Admission routes2
Has abstractyes

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