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Record W4413448299 · doi:10.1093/ijnp/pyaf062

Remote spatial memory deficits in mouse models of neuropsychiatric disorders with immature dentate gyrus phenotype

2025· article· en· W4413448299 on OpenAlexaff
Hirotaka Shoji, Hideo Hagihara, Isabella A. Graef, Freesia L. Huang, Paul W. Frankland, Tsuyoshi Miyakawa

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoCanadian Institute for Advanced Research
FundersCore Research for Evolutional Science and TechnologyJapan Science and Technology AgencyJapan Society for the Promotion of ScienceFujita Health UniversityMinistry of Education, Culture, Sports, Science and Technology
KeywordsDentate gyrusNeurosciencePhenotypeHippocampusPsychologyBiologyGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: The hippocampal dentate gyrus (DG) is a critical region that contributes to recent and remote memory. Granule cells within this region, in which adult neurogenesis occurs, undergo dynamic and reversible maturation via genetic and environmental factors during adulthood. A pseudo-immature state of DG granule cells, called immature DG (iDG), has been observed in the adult mice of certain mutant strains, which are considered animal models of neuropsychiatric and neurodegenerative disorders, such as intellectual disability, schizophrenia, autism, and Alzheimer's disease. However, the association between the iDG phenotype and recent and remote memories in the mouse models remains unclear. METHODS: We assessed spatial memory in the Barnes circular maze task in five mutant mouse models of the disorders with the iDG phenotype, including Camk2a heterozygous knockout (HET KO), forebrain-specific Calcineurin (Cn) conditional KO (cKO), Neurogranin (Nrgn) KO, and Hivep2 (Schnurri-2) KO, and hAPP-J20 transgenic mice. RESULTS: Camk2a HET KO mice and J20 mice spent less time around the target than their wild-type control mice in the memory retention tests 1 day and 4 weeks after the last training session. Cn cKO, Nrgn KO, and Schnurri-2 KO mice showed no significant differences in the time spent around the target from wild-type mice in the retention test 1 day after the training session, but those mutants spent less time around the target than their wild-type mice in the retest conducted 4 weeks later. CONCLUSIONS: These results indicated that mouse models of neuropsychiatric and neurodegenerative disorders exhibiting the iDG phenotype demonstrate a common behavioral characteristic of remote spatial memory deficits, suggesting the potential involvement of the pseudo-immature state of DG granule cells in remote memory dysfunction. Significance Statement A pseudo-immature state of granule cells in the hippocampal dentate gyrus (DG), called immature DG (iDG), has been observed in several mutant strains of mice considered as animal models of neuropsychiatric and neurodegenerative disorders. Thus, the iDG phenotype is proposed as one of the characteristic features of some types of the disorders. However, the impacts of iDG phenotype on hippocampal functions remains unclear. This study demonstrated that two of the five genetically modified mouse strains with iDG phenotype exhibited deficits in both recent and remote memory, with the impairments being more pronounced at the remote delay. The other three strains showed selective deficits in remote memory. These observations suggest that the pseudo-immature state of DG is associated with remote memory dysfunction, although further studies are needed to determine the causality and elucidate the underlying mechanisms.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.284
Teacher spread0.269 · 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 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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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