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Record W2012145421 · doi:10.1016/j.ejpain.2010.09.003

Expectations modulate long‐term heat pain habituation

2010· article· en· W2012145421 on OpenAlexaff
Beril Dogancil, Markus Breimhorstl, Marie Hondrichl, Rea Rodriguez‐Raeckel, Arne Mayl, Frank Birkleinl

Bibliographic record

VenueEuropean Journal of Pain · 2010
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsTellabs (Canada)
FundersDeutsche Forschungsgemeinschaft
KeywordsHabituationStimulationNociceptionCognitionPsychologyContext (archaeology)PerceptionPain perceptionAnesthesiaMedicineAudiologyDevelopmental psychologyNeuroscienceInternal medicine

Abstract

fetched live from OpenAlex

Habituation to pain was shown to be a complex mechanism involving the pain encoding regions and the antinociceptive system in the brain. Pain perception can be modulated by cognitive factors; however it is unclear whether cognitive factors also influence habituation to pain. We used an established experimental design with repetitive moderate painful heat stimulation over eight consecutive days. Thirty-seven healthy subjects were recruited and assigned to four different groups: The first group (n=10) was instructed that pain perception over time will habituate; the second group (n=9) that pain will increase; the third group (n=8) was instructed that pain will remain stable over the 8 days of pain stimulation and the fourth group (n=10) was not given any specific information and served as a control group. We found that the control group habituated as described before. However, it was abolished in the second (sensitize) and third (stable) group, but was very strongly demonstrated in the first (habituation) group. In this group, habituation tended to be increased as compared to the control group. In conclusion, our findings highlight the importance of context information in pain studies and contribute to our knowledge about pain processing and behaviour.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 head0.016
GPT teacher head0.261
Teacher spread0.246 · 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

Citations21
Published2010
Admission routes1
Has abstractyes

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