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Record W2804528830 · doi:10.1016/j.celrep.2018.04.073

Activation of Entorhinal Cortical Projections to the Dentate Gyrus Underlies Social Memory Retrieval

2018· article· en· W2804528830 on OpenAlexafffund
Celeste Leung, Feng Cao, Robin Nguyen, Krutika Joshi, Afif J. Aqrabawi, Shuting Xia, Miguel A. Cortez, O. Carter Snead, Jun Chul Kim, Zhengping Jia

Bibliographic record

VenueCell Reports · 2018
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health ResearchHealth CanadaHospital for Sick Children
KeywordsNeuroscienceDentate gyrusOptogeneticsEntorhinal cortexExcitatory postsynaptic potentialPsychologyBiologyRecallHippocampusCognitive psychologyInhibitory postsynaptic potential

Abstract

fetched live from OpenAlex

Social interactions are essential to our mental health, and a deficit in social interactions is a hallmark characteristic of numerous brain disorders. Various subregions within the medial temporal lobe have been implicated in social memory, but the underlying mechanisms that tune these neural circuits remain unclear. Here, we demonstrate that optical activation of excitatory entorhinal cortical perforant projections to the dentate gyrus (EC-DG) is necessary and sufficient for social memory retrieval. We further show that inducible disruption of p21-activated kinase (PAK) signaling, a key pathway important for cytoskeletal reorganization, in the EC-DG circuit leads to impairments in synaptic function and social recognition memory, and, importantly, optogenetic activation of the EC-DG terminals reverses the social memory deficits in the transgenic mice. These results provide compelling evidence that activation of the EC-DG pathway underlies social recognition memory recall and that PAK signaling may play a critical role in modulating this process.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.492
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.047
GPT teacher head0.358
Teacher spread0.311 · 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

Citations85
Published2018
Admission routes2
Has abstractyes

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