Evidence map›Paper›PMID 38658530›Full record

ArticleNature communications2024

Altered grid-like coding in early blind people.

Federica Sigismondi, Yangwen Xu, Mattia Silvestri, Roberto Bottini

Open access · goldAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 1 institution in 2 countries.

Federica Sigismondi *Center for Mind/Brain Sciences, University of Trento, 38122, Trento, Italy. federica.sigismondi@unitn.it.ORCID http://orcid.org/0000-0003-2260-8693
Yangwen Xu *Center for Mind/Brain Sciences, University of Trento, 38122, Trento, Italy.ORCID http://orcid.org/0000-0003-1482-4927
Mattia SilvestriCenter for Mind/Brain Sciences, University of Trento, 38122, Trento, Italy.
Roberto BottiniCenter for Mind/Brain Sciences, University of Trento, 38122, Trento, Italy. roberto.bottini@unitn.it.ORCID http://orcid.org/0000-0001-7941-7762
University of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive maps in the hippocampal-entorhinal system are central for the representation of both spatial and non-spatial relationships. Although this system, especially in humans, heavily relies on vision, the role of visual experience in shaping the development of cognitive maps remains largely unknown. Here, we test sighted and early blind individuals in both imagined navigation in fMRI and real-world navigation. During imagined navigation, the Human Navigation Network, constituted by frontal, medial temporal, and parietal cortices, is reliably activated in both groups, showing resilience to visual deprivation. However, neural geometry analyses highlight crucial differences between groups. A 60° rotational symmetry, characteristic of a hexagonal grid-like coding, emerges in the entorhinal cortex of sighted but not blind people, who instead show a 90° (4-fold) symmetry, indicative of a square grid. Moreover, higher parietal cortex activity during navigation in blind people correlates with the magnitude of 4-fold symmetry. In sum, early blindness can alter the geometry of entorhinal cognitive maps, possibly as a consequence of higher reliance on parietal egocentric coding during navigation.

Indexed as

BlindnessBrain MappingEntorhinal CortexMagnetic Resonance ImagingAdultCognitionFemaleHumansImaginationMaleMiddle AgedParietal LobePersons with Visual DisabilitiesSpatial NavigationYoung Adult

Identifiers

PMID38658530
PMCPMC11043432
OpenAlexW4395070622

What OpenQuestion holds

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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.