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Record W2025119205 · doi:10.1186/s12990-015-0025-2

Minocycline does Not Affect Long-Term Potentiation in the Anterior Cingulate Cortex of Normal Adult Mice

2015· article· en· W2025119205 on OpenAlexafffund
Qian Song, Ming‐Gang Liu, Min Zhuo

Bibliographic record

VenueMolecular Pain · 2015
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsCanada Research ChairsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsLong-term potentiationNeuroscienceAnterior cingulate cortexMinocyclineLTP inductionMicrogliaNeuroplasticitySomatosensory systemStimulationPsychologyMedicineBiologyReceptorInternal medicineInflammationCognition

Abstract

fetched live from OpenAlex

It has been reported that activated microglia plays important roles in chronic pain-related sensory signaling at the spinal cord dorsal horn. Less is known about the possible contribution of microglia to cortical plasticity that has been found to be important for chronic pain. In the present study, we used a 64-channel multi-electrode array recording system to investigate the role of microglia in cortical plasticity of the anterior cingulate cortex (ACC) in normal adult mice. We found that bath application of minocycline, an inhibitor of microglial activation, had no effect on postsynaptic LTP (post-LTP) induced by theta burst stimulation in the ACC. Furthermore, presynaptic LTP (pre-LTP) induced by the combination of low-frequency stimulation with a GluK1-containing kainate receptor agonist was also not affected. The spatial distribution of post-LTP or pre-LTP among the cingulate network is also unaltered by minocycline. Our results suggest that minocycline does not affect cingulate plasticity and neurons are the major player in pain-related cortical plasticity.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.011
GPT teacher head0.269
Teacher spread0.258 · 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 designBench or experimental
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

Citations14
Published2015
Admission routes2
Has abstractyes

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