MétaCan
Menu
Back to cohort
Record W2903257143 · doi:10.1016/j.neulet.2018.11.048

Long-term cortical synaptic changes contribute to chronic pain and emotional disorders

2018· review· en· W2903257143 on OpenAlexaff
Min Zhuo

Bibliographic record

VenueNeuroscience Letters · 2018
Typereview
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsCanada Research ChairsUniversity of Toronto
Fundersnot available
KeywordsNeuroscienceChronic painSensory systemPsychologyExcitatory postsynaptic potentialNeuroplasticityMedicineInhibitory postsynaptic potential

Abstract

fetched live from OpenAlex

Increasing evidence consistently indicates that cortical mechanisms play important roles in chronic pain and its emotional disorders. Central synapses, especially excitatory synapses, are undergoing long-term memory-like plastic changes after peripheral injury. These changes not only occur at the single synaptic level, but also take place at cortical and subcortical circuits. Consequently, neuronal responses to peripheral sensory stimuli, or even to sensory inputs triggered by normal physiological signals such as touch and movement, are significantly potentiated or increased. Such prolonged cortical excitation likely contributes to chronic pain and its related emotional changes. In this short review article, I will summarize recent progress using animal models and explore possible different mechanisms that may contribute to chronic pain in the brain.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.035
GPT teacher head0.322
Teacher spread0.287 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations39
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueNeuroscience LettersSame topicPain Mechanisms and TreatmentsFrench-language works237,207