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Record W7052016293

Potential sex-related differences in neurophysiology post-concussion

2021· article· en· W7052016293 on OpenAlexaff

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsWestern University
Fundersnot available
KeywordsNeurophysiologySilent periodTranscranial magnetic stimulationEvoked potentialDuration (music)Motor cortexElectromyographyDorsum
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to examine potential sex-related differences in neurophysiology in concussed and healthy individuals. There was a total of 21(9 F) participants in each group. The concussion (CONC) group reported to the lab within 72 hours, 1- and 2-weeks post-injury. The control (CONT) group followed a similar measurement schedule once recruited. Motor evoked potential (MEP) amplitude and cortical silent period (CSP) duration was measured in the first dorsal interosseous muscle using transcranial magnetic stimulation. There were no significant differences in MEP amplitude or CSP duration between the CONC and CONT group. As well, there was no significant effect of time on these cortical measures. However, males had significantly longer CSP durations compared to females, indicating greater cortical inhibition, regardless of group. An important and novel finding of this study was the lack of differences in these neurophysiological measures between males and females following concussion.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

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)0.0060.001

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 head0.037
GPT teacher head0.281
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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