Evidence map›Paper›PMID 40634477›Full record

ArticleCommunications biology2025

Distinct neural representational geometries of numerosity in early visual and association regions across visual streams.

Alireza Karami, Elisa Castaldi, Evelyn Eger, Manuela Piazza

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Brain Representation of Numerosity across the Senses and Presentation Formats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. 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

4 authors.

Alireza KaramiCenter for Mind/Brain Science, University of Trento, Rovereto, Italy. alireza.kr@gmail.com.ORCID http://orcid.org/0000-0003-4783-7871
Elisa CastaldiDepartment of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy.
Evelyn EgerCognitive Neuroimaging Unit, CEA DRF/Joliot, INSERM, Université Paris-Saclay, NeuroSpin Center, Gif-sur-Yvette, France.
Manuela PiazzaCenter for Mind/Brain Science, University of Trento, Rovereto, Italy. manuela.piazza@unitn.it.ORCID http://orcid.org/0000-0003-2557-9701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visual numerosity, traditionally linked to the parietal cortex, is now thought to be represented across a broader cortical network, including early visual and associative areas in both streams. However, how numerosity is encoded relative to other visual features remains unclear. We conducted a whole-brain functional magnetic resonance imaging (fMRI) study with thirty-one adults performing a numerosity estimation task on visual sets varying in number, item size, total item area, field area, and density, ensuring tight stimulus control. Using model-based representational similarity analyses, we found numerosity represented independently of other visual properties in early visual areas and amplified in retinotopic and non-retinotopic associative regions across both streams. Dimensionality reduction of BOLD patterns revealed distinct geometries: a one-dimensional representation of numerical rank in early visual and ventral retinotopic areas, and a curved structure encoding rank and distance-to-endpoints in associative dorsal and ventral regions. These results demonstrate distinct neural coding schemes for numerosity across cortical regions.

Indexed as

Visual CortexVisual PathwaysVisual PerceptionAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMalePhotic StimulationYoung Adult

Identifiers

PMID40634477
PMCPMC12241354

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Registered trials

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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.