Evidence map›Paper›PMID 39271679›Full record

ArticleNature communications2024

Distinct codes for environment structure and symmetry in postrhinal and retrosplenial cortices.

Patrick A LaChance, Michael E Hasselmo

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

2 authors.

Patrick A LaChanceCenter for Systems Neuroscience and Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA. plachanc@bu.edu.ORCID 0000-0003-1477-064X
Michael E HasselmoCenter for Systems Neuroscience and Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA.ORCID 0000-0002-9925-6377

Funding

Egocentric and Allocentric Spatial Coding in CortexR01MH120073 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HASSELMO, MICHAEL E · 2019 to 2023
$2.5M
NIMH NIH HHS R01 MH120073United States Department of Defense | United States Navy | Office of Naval Research (ONR) N00014-19-1-2571U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH120073
6 · The paper itself

Abstract

Complex sensory information arrives in the brain from an animal's first-person ('egocentric') perspective. However, animals can efficiently navigate as if referencing map-like ('allocentric') representations. The postrhinal (POR) and retrosplenial (RSC) cortices are thought to mediate between sensory input and internal maps, combining egocentric representations of physical cues with allocentric head direction (HD) information. Here we show that neurons in the POR and RSC of female Long-Evans rats are tuned to distinct but complementary aspects of local space. Egocentric bearing (EB) cells recorded in square and L-shaped environments reveal that RSC cells encode local geometric features, while POR cells encode a more global account of boundary geometry. Additionally, POR HD cells can incorporate egocentric information to fire in two opposite directions with two oppositely placed identical visual landmarks, while only a subset of RSC HD cells possess this property. Entorhinal grid and HD cells exhibit consistently allocentric spatial firing properties. These results reveal significant regional differences in the neural encoding of spatial reference frames.

Indexed as

NeuronsRats, Long-EvansSpace PerceptionAnimalsCerebral CortexCuesEntorhinal CortexEnvironmentFemaleRats

Identifiers

PMID39271679
PMCPMC11399390

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.