Evidence map›Paper›PMID 37248771›Full record

ReviewJournal of neurochemistry2023

Dissecting cell-type-specific pathways in medial entorhinal cortical-hippocampal network for episodic memory.

Hisayuki Osanai, Indrajith R Nair, Takashi Kitamura

Abstract readReview
In one paragraph

Review in Journal of neurochemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hisayuki OsanaiDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Indrajith R NairDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Takashi KitamuraDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-5597-859X

Funding

Neural circuit mechanisms for experience-dependent observational fearR01MH125916 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI KITAMURA, TAKASHI · 2021 to 2025
$2.7M
Neural circuit mechanisms for temporal association learningR01MH120134 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI KITAMURA, TAKASHI · 2020 to 2024
$2.0M
NIMH NIH HHS R01 MH120134NIMH NIH HHS R01MH120134NIMH NIH HHS R01 MH125916NIMH NIH HHS R01MH125916
6 · The paper itself

Abstract

Episodic memory, which refers to our ability to encode and recall past events, is essential to our daily lives. Previous research has established that both the entorhinal cortex (EC) and hippocampus (HPC) play a crucial role in the formation and retrieval of episodic memories. However, to understand neural circuit mechanisms behind these processes, it has become necessary to monitor and manipulate the neural activity in a cell-type-specific manner with high temporal precision during memory formation, consolidation, and retrieval in the EC-HPC networks. Recent studies using cell-type-specific labeling, monitoring, and manipulation have demonstrated that medial EC (MEC) contains multiple excitatory neurons that have differential molecular markers, physiological properties, and anatomical features. In this review, we will comprehensively examine the complementary roles of superficial layers of neurons (II and III) and the roles of deeper layers (V and VI) in episodic memory formation and recall based on these recent findings.

Indexed as

Entorhinal CortexHippocampusMemory, EpisodicAnimalsHumansNerve NetNeural InhibitionNeural Pathwaysentorhinal cortexhippocampuslearning & memorymemory engram cellneural circuitsoscillatory communication

Identifiers

PMID37248771
PMCPMC10538947

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.