MétaCan
Menu
Back to cohort
Record W2069295681 · doi:10.1080/0001648031000692

Ketamine blocks non-N-methyl-D-aspartate receptor channels attenuating glutamatergic transmission in the auditory cortex

2004· article· en· W2069295681 on OpenAlexaff
Darrell Leong, E. Puil, D. W. F. Schwarz

Bibliographic record

VenueActa Oto-Laryngologica · 2004
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCNQXGlutamatergicNMDA receptorExcitatory postsynaptic potentialNeuroscienceGlutamate receptorNeurotransmissionAuditory cortexChemistryAMPA receptorInhibitory postsynaptic potentialBiophysicsReceptorBiologyBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the influence of ketamine on non-N-methyl-D-aspartate (NMDA) receptor-mediated synaptic transmission in the auditory cortex. MATERIAL AND METHODS: Using whole-cell patch-clamp techniques on pyramidal neurons, we studied the effects of ketamine on excitatory post-synaptic potentials (EPSPs) evoked by electrical stimulation of internal capsule fibers in slices of gerbil auditory cortex. RESULTS: After blockade of the slow, NMDA receptor-mediated EPSP component with DL-2-amino-5-phosphonovaleric acid, application of ketamine in a concentration-dependent manner led to a reduction in the amplitude of fast, 6-cyano-7-nitroquinoxalinedione (CNQX)-sensitive EPSPs, accompanied by an increased membrane resistance. Blockade of non-NMDA glutamate receptors with CNQX prevented both effects. CONCLUSION: Ketamine reduces membrane conductance and glutamatergic excitation, in part by blocking alpha-amino-3-hydroxy-5-methylisoxazole-4-proprionic acid receptor channels that may be constitutively active at a low level in slice preparations of auditory cortex.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.311
Teacher spread0.271 · 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 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

Citations17
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueActa Oto-LaryngologicaSame topicNeuroscience and Neuropharmacology ResearchFrench-language works237,207