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Calmodulin Regulates Synaptic Plasticity in the Anterior Cingulate Cortex and Behavioral Responses: A Microelectroporation Study in Adult Rodents

2003· article· en· W1858253487 on OpenAlexafffund
Xia-Ming Xia, Jianrong Tang, Hushan Ao, Shanelle W. Ko, Jason Liauw, Chang-Shen Qiu, Min Zhuo

Bibliographic record

VenueJournal of Neuroscience · 2003
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchU.S. Public Health Service
KeywordsNeuroscienceBiologyAnterior cingulate cortexSynaptic plasticityLong-term potentiationCalmodulinNeuroplasticityCortex (anatomy)ReceptorGeneticsBiochemistry

Abstract

fetched live from OpenAlex

We developed a microelectroporation method for the transfer of genes into neurons in the cerebral cortex of adult rodents, both rats and mice. We selectively expressed either green-fluorescent protein (GFP) or a Ca2+-binding deficient calmodulin (CaM) mutant in the anterior cingulate cortex (ACC). In mice that expressed GFP, positive neuronal cell bodies were found specifically at the injection site in the ACC. Mice that expressed CaM12, a mutant CaM with two impaired Ca2+ binding sites in the N-terminal lobe, exhibited significant changes in vocalization, locomotion, and sensory functions. Long-term potentiation and long-term depression, two major forms of central plasticity, were completely abolished by expression of CaM12. Mice that expressed CaM34, a mutant CaM with two impaired Ca2+ binding sites in the C-terminal lobe, did not show any significant behavioral or electrophysiological alterations. These findings provide strong evidence that CaM is critical for bidirectional synaptic plasticity. This new method will be useful for investigating gene function in specific brain regions of freely moving animals. Furthermore, this approach also may facilitate gene therapy in adult human brains.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.308
Teacher spread0.274 · 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 designObservational
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

Citations65
Published2003
Admission routes2
Has abstractyes

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