Evidence map›Paper›PMID 41928972›Full record

ArticlebioRxiv : the preprint server for biology2026

Lateral entorhinal cortex supports behaviorally-induced hippocampal ensemble stability for reliable memory recall.

Maya D Hopkins, Pauline Rahal, Vincent Robert, Esther Kim, Jayeeta Basu

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Maya D HopkinsInstitute for Translational Neuroscience, New York University Langone Health, New York, NY 10016, USA.ORCID 0000-0001-5465-9976
Pauline RahalInstitute for Translational Neuroscience, New York University Langone Health, New York, NY 10016, USA.
Vincent RobertInstitute for Translational Neuroscience, New York University Langone Health, New York, NY 10016, USA.
Esther KimInstitute for Translational Neuroscience, New York University Langone Health, New York, NY 10016, USA.
Jayeeta BasuInstitute for Translational Neuroscience, New York University Langone Health, New York, NY 10016, USA.ORCID 0000-0002-7559-0936

Funding

Reexamining the Role of Dendrites in Neuronal FunctionRM1NS132981 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Jayeeta Basu, RAFAEL YUSTE · 2023 to 2026
$10.3M
NRSA Training CoreTL1TR001447 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MICOLI, KEITH J. · 2015 to 2025
$5.9M
Transformation of Neuronal Activity in the Entorhinal-hippocampal-neocortex PathR01MH122391 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BASU, JAYEETA, BUZSAKI, GYORGY · 2020 to 2024
$3.3M
Training Program in NeuroscienceT32MH096331 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KLANN, ERIC, RUDY, BERNARDO · 2011 to 2019
$2.6M
Linking Plasticity of Hippocampal Representation across the Single Neuron and Circuit LevelsR01NS109994 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BASU, JAYEETA, CLOPATH, CLAUDIA · 2018 to 2022
$2.4M
Training Program in Molecular, Cellular, and Translational NeuroscienceT32NS086750 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JEREMY S DASEN, Katherine Nagel · 2014 to 2026
$2.4M
Synaptic and Circuit Interactions to Shape Multisensory Processing - Administrative SupplementR01NS109362 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BASU, JAYEETA · 2018 to 2023
$1.9M
GABAergic Circuit Targets for Modulating Entorhinal Cortex and Hippocampal Dynamics in Alzheimer's DiseaseR01AG094086 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jayeeta Basu, Arjun Vijay Masurkar · 2026 to 2026
$642k
Building Research Aspirations In NeurologyR25NS125593 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mia Minen · 2023 to 2026
$540k
NCATS NIH HHS TL1 TR001447NIA NIH HHS R01 AG094086NIMH NIH HHS R01 MH122391NIMH NIH HHS T32 MH096331NINDS NIH HHS R01 NS109362NINDS NIH HHS R01 NS109994NINDS NIH HHS R25 NS125593NINDS NIH HHS RM1 NS132981NINDS NIH HHS T32 NS086750
6 · The paper itself

Abstract

Hippocampal pyramidal neurons function as place cells, showing location-specific activity during navigation, to form an internal spatial map of the environment. They are hypothesized to be the neural substrate of episodic memory. However, place cell receptive fields tend to drift or have poor tuning in low demand tasks, lacking operant goals such as random foraging, or in sensory context-deprived environments. Through chronic two-photon calcium imaging of hippocampal area CA1, we directly compare stability in a low versus a high demand task within the same animals over the course of learning and recall in the same environment. We find that compared to random foraging, an odor-context based navigational task stabilizes place cell representations and increases place cell quality and quantity. To investigate the circuit mechanism that may support this stability, we manipulated the activity of lateral entorhinal cortex (LEC) excitatory neurons, which provide both indirect and direct multisensory inputs about context, odor, and time to CA1. We chemogenetically suppressed activity of excitatory neurons in LEC during recall of the odor-context based navigation task and found that context discrimination is impaired at both the behavioral and neural level. With LEC silencing, mice had lower behavioral performance, less stable population activity, and greater similarity between opposing trial types. Our study finds that increasing task demand increases CA1 stability and that this stability is partially supported by LEC.

Identifiers

PMID41928972
PMCPMC13041957

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.