Evidence map›Paper›PMID 20657591›Full record

ArticleNature neuroscience2010

Grid cells in pre- and parasubiculum.

Charlotte N Boccara, Francesca Sargolini, Veslemøy Hult Thoresen, Trygve Solstad, Menno P Witter, Edvard I Moser, May-Britt Moser

Abstract read
PubMed Publisher
In one paragraph

Article in Nature neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 268 papers.

0numbers the graph read from it
0cells of the map it votes in
268citing papers in PubMed
16.6field-weighted citation impact, top 1% of its field
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

268 citing papers in PubMed, 528 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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  6. Article
  7. Mapping Projectome Heterogeneity of Subiculum Neuron Cell Types.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. The Contribution of Spatially Tuned Brain Cells to Human Navigation Performance.KN - journal of cartography and geographic information · 2026
    Review
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  13. Article
  14. Article
  15. Review
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  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Charlotte N BoccaraKavli Institute for Systems Neuroscience and Centre for the Biology of Memory, MTFS, Norwegian University of Science and Technology, Trondheim, Norway.
Francesca Sargolini
Veslemøy Hult Thoresen
Trygve Solstad
Menno P Witter
Edvard I Moser
May-Britt Moser
Norwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allocentric space is mapped by a widespread brain circuit of functionally specialized cell types located in interconnected subregions of the hippocampal-parahippocampal cortices. Little is known about the neural architectures required to express this variety of firing patterns. In rats, we found that one of the cell types, the grid cell, was abundant not only in medial entorhinal cortex (MEC), where it was first reported, but also in pre- and parasubiculum. The proportion of grid cells in pre- and parasubiculum was comparable to deep layers of MEC. The symmetry of the grid pattern and its relationship to the theta rhythm were weaker, especially in presubiculum. Pre- and parasubicular grid cells intermingled with head-direction cells and border cells, as in deep MEC layers. The characterization of a common pool of space-responsive cells in architecturally diverse subdivisions of parahippocampal cortex constrains the range of mechanisms that might give rise to their unique functional discharge phenotypes.

Indexed as

AnimalsBrainBrain MappingElectrodes, ImplantedMaleNeural PathwaysNeuronsRatsRats, Long-EvansTheta Rhythm

Identifiers

PMID20657591
OpenAlexW1994490999

What OpenQuestion holds

Textmetadata
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.