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Chronic Pain Effect on Body Schema and Neuropsychological Performance in Athletes: A Pilot Study

2013· article· en· W2166724346 on OpenAlexaboutno aff
Bianca Elisabeth Thurm, Amanda Ellen Rodrigues Matoso, Ana C. Diaz, Carolina Paschoalini, Elayne Neves, Raquel Tuunelis, Henry Dan Kiyomoto, Eliane Florêncio Gama

Bibliographic record

VenuePerceptual and Motor Skills · 2013
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBody schemaSchema (genetic algorithms)PsychologyNeuropsychologyChronic painPhysical therapyPhysical medicine and rehabilitationClinical psychologyCognitionMedicinePsychiatryComputer scienceNeurosciencePerception

Abstract

fetched live from OpenAlex

The ability to recognize the body parts blindfolded is called body schema. Chronic pain disrupts cognitive function and could lead to an altered body schema. Commonly competitive athletes have chronic pain, but still train and compete. The goal of this study was to assess the body schema of competitive athletes with chronic pain. Pain was measured with the McGill Pain Questionnaire. To assess the body schema, the Image Marking Procedure was used to assess the capacity of the participants to project their bodies in space. Neuropsychological performance was assessed with the Grooved Pegboard Test. There was no difference in body schema between groups; neuropsychological performance indicated better scores in the athlete group. This study showed that despite chronic pain, the athlete group presented unaltered body schema and better neuropsychological performance, perhaps explained by self-selection.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.126
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.268
Teacher spread0.253 · 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

Citations9
Published2013
Admission routes1
Has abstractyes

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