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Record W2010416491 · doi:10.1042/bst0351236

Somatodendritic dynorphin release: orchestrating activity patterns of vasopressin neurons

2007· review· en· W2010416491 on OpenAlexaff
Colin H. Brown, Victoria Scott, Mike Ludwig, Gareth Leng, Charles W. Bourque

Bibliographic record

VenueBiochemical Society Transactions · 2007
Typereview
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsMcGill University Health Centre
FundersWellcome Trust
KeywordsDynorphinVasopressinChemistryNeuroscienceBiophysicsBiologyEndocrinologyBiochemistryOpioid peptideOpioidReceptor

Abstract

fetched live from OpenAlex

Most neurons in the central nervous system co-express peptides alongside their principal transmitter, yet the function of these peptides is largely unknown. Vasopressin neurons of the hypothalamic supraoptic nucleus and paraventricular nucleus contain among the highest concentrations of dynorphin found in the brain. Dynorphin, an endogenous opioid peptide, is co-localized in the same neurosecretory vesicles as vasopressin and is released alongside vasopressin from the dendrites and axon terminals of vasopressin neurons. We and others have shown that neuropeptide release from the soma and dendrites of vasopressin neurons activates vasopressin receptors and kappa-opioid receptors to cause activity-dependent modulation of vasopressin neuron activity, and that this is essential for activity patterning in vasopressin neurons.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.102
GPT teacher head0.405
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations40
Published2007
Admission routes1
Has abstractyes

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