Evidence map›Paper›PMID 28343867›Full record

ArticleNeuron2017

Grid and Nongrid Cells in Medial Entorhinal Cortex Represent Spatial Location and Environmental Features with Complementary Coding Schemes.

Geoffrey W Diehl, Olivia J Hon, Stefan Leutgeb, Jill K Leutgeb

Abstract read
In one paragraph

Article in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing 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

112 citing papers in PubMed.

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  18. A unified neural representation model for spatial and conceptual computations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article

52 more citing papers are in PubMed but not listed here.

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

4 authors.

Geoffrey W DiehlNeurobiology Section and Center for Neural Circuits and Behavior, Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
Olivia J HonNeurobiology Section and Center for Neural Circuits and Behavior, Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
Stefan LeutgebNeurobiology Section and Center for Neural Circuits and Behavior, Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA; Kavli Institute for Brain and Mind, University of California, San Diego, La Jolla, CA 92093, USA.
Jill K LeutgebNeurobiology Section and Center for Neural Circuits and Behavior, Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: jleutgeb@ucsd.edu.

Funding

RESEARCH TRAINING IN THE NEUROSCIENCEST32NS007431 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Juan Song, Mark J. Zylka · 1997 to 2026
$10.0M
Neurosciences Graduate Training ProgramT32NS061847 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Brenda L Bloodgood · 2008 to 2026
$7.7M
Memory processing after neuron loss in the entorhinal cortex and hippocampusR01NS086947 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEUTGEB, STEFAN · 2014 to 2024
$3.9M
Mechanisms of abeta induced dysfunction in hippocampal neuronal circuitryR01NS084324 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOO, EDWARD H., LEUTGEB, STEFAN · 2014 to 2018
$2.7M
A neuronal code for extended time in the hippocampal-entorhinal circuitryR01MH100349 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEUTGEB, JILL K · 2014 to 2018
$1.9M
CRCNS: Network Mechanisms Underlying Episodic MemoryR01MH102841 · NIMH · BRANDEIS UNIVERSITY · PI LISMAN, JOHN E · 2013 to 2015
$817k
Temporally precise control of theta oscillationsR21MH100354 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEUTGEB, STEFAN · 2013 to 2014
$404k
NIMH NIH HHS R01 MH100349NIMH NIH HHS R01 MH102841NIMH NIH HHS R21 MH100354NINDS NIH HHS R01 NS084324NINDS NIH HHS R01 NS086947NINDS NIH HHS T32 NS007431NINDS NIH HHS T32 NS061847
6 · The paper itself

Abstract

The medial entorhinal cortex (mEC) has been identified as a hub for spatial information processing by the discovery of grid, border, and head-direction cells. Here we find that in addition to these well-characterized classes, nearly all of the remaining two-thirds of mEC cells can be categorized as spatially selective. We refer to these cells as nongrid spatial cells and confirmed that their spatial firing patterns were unrelated to running speed and highly reproducible within the same environment. However, in response to manipulations of environmental features, such as box shape or box color, nongrid spatial cells completely reorganized their spatial firing patterns. At the same time, grid cells retained their spatial alignment and predominantly responded with redistributed firing rates across their grid fields. Thus, mEC contains a joint representation of both spatial and environmental feature content, with specialized cell types showing different types of integrated coding of multimodal information.

Indexed as

Action PotentialsAnimalsEntorhinal CortexEnvironmentHippocampusNeuronsRatsRats, Long-EvansSpatial MemorySpatial NavigationSpatial Processingborder cellsentorhinal cortexgrid cellshippocampusmemorynongrid cellsplace cellremappingspatial navigation

Identifiers

PMID28343867
PMCPMC5444540

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.