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NMDA Receptor-dependent Long-term Depression in the Anterior Cingulate Cortex

2006· review· en· W2095143519 on OpenAlexafffund
Hiroki Toyoda, Ming Zhao, Min Zhuo

Bibliographic record

VenueReviews in the Neurosciences · 2006
Typereview
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of Toronto
FundersNational Institute of Neurological Disorders and StrokeCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsLong-term potentiationNeuroscienceNMDA receptorAnterior cingulate cortexLong-term depressionSynaptic plasticityNeuronal memory allocationGlutamate receptorPsychologyPathologicalMetaplasticityReceptorMedicineCognitionInternal medicineAMPA receptor

Abstract

fetched live from OpenAlex

Neurons and synapses in the mammalian brain exhibit plastic changes, which occur not only during development and under physiological conditions, but also under pathological conditions. One major cellular hypothesis is that activity-dependent changes in synaptic strength may contribute to the formation of memory and the expression of persistent inflammatory pain. Recently, the anterior cingulate cortex (ACC) has been proposed to play an important role for learning, memory and chronic pain. Long-term potentiation (LTP) and long-term depression (LTD) are well-studied phenomena which may be related to learning and memory. NMDA receptors are the most important trigger for LTP and LTD of synaptic strength. Here, we review recent studies and present new experimental data on the roles of NMDA receptors during synaptic depression in the ACC. Furthermore, we consider the physiological and pathological significance of LTD in the ACC.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0090.001
Research integrity0.0000.002
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 head0.165
GPT teacher head0.448
Teacher spread0.283 · 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 designNot applicable
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

Citations18
Published2006
Admission routes2
Has abstractyes

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