Evidence map›Paper›PMID 37380885›Full record

ReviewNature reviews. Neuroscience2023

Interactions between rodent visual and spatial systems during navigation.

Aman B Saleem, Laura Busse

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Ecological Visual Processing in the Mouse.Annual review of neuroscience · 2026
    Review
  3. Article
  4. Article
  5. Article
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  12. Natural visual behavior and active sensing in the mouse.Current opinion in neurobiology · 2024
    Review
  13. Article
  14. Article
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 at 2 institutions in 2 countries.

Aman B SaleemUCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, UK. aman.saleem@ucl.ac.uk.ORCID 0000-0002-7100-1954
Laura BusseDivision of Neuroscience, Faculty of Biology, LMU Munich, Munich, Germany. busse@bio.lmu.de.ORCID 0000-0002-6127-7754
LMU Klinikum · DEThe London College · GB

Funding

Wellcome Trust 200501Wellcome Trust 200501/Z/16/Z
6 · The paper itself

Abstract

Many behaviours that are critical for animals to survive and thrive rely on spatial navigation. Spatial navigation, in turn, relies on internal representations about one's spatial location, one's orientation or heading direction and the distance to objects in the environment. Although the importance of vision in guiding such internal representations has long been recognized, emerging evidence suggests that spatial signals can also modulate neural responses in the central visual pathway. Here, we review the bidirectional influences between visual and navigational signals in the rodent brain. Specifically, we discuss reciprocal interactions between vision and the internal representations of spatial position, explore the effects of vision on representations of an animal's heading direction and vice versa, and examine how the visual and navigational systems work together to assess the relative distances of objects and other features. Throughout, we consider how technological advances and novel ethological paradigms that probe rodent visuo-spatial behaviours allow us to advance our understanding of how brain areas of the central visual pathway and the spatial systems interact and enable complex behaviours.

Indexed as

RodentiaSpatial NavigationAnimalsBrainVision, OcularVisual Pathways

Identifiers

PMID37380885
OpenAlexW4382400451

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.