Evidence map›Paper›PMID 42040961›Full record

ArticleResearch square2026

Large-scale functional overlap between dorsal and ventral object-responsive networks.

Claire Simmons, Marlene Behrmann, Vladislav Ayzenberg

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Claire SimmonsDepartment of Psychology and Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-9940-9396
Marlene BehrmannDepartment of Psychology and Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-3814-1015
Vladislav AyzenbergDepartment of Psychology and Neuroscience, Temple University.

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ethan A Rossi · 1989 to 2026
$17.8M
TRAINING PROGRAM FOR MD/PHD STUDENTST32GM008208 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEINMAN, RICHARD A · 1987 to 2021
$15.4M
Predoctoral Training Program in Behavioral Brain ResearchT32GM081760 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FIEZ, JULIE A, HOLT, LORI L · 2007 to 2021
$4.3M
Bringing the Real-World into Cognitive Neuroscience: From Images to Real ObjectsR01EY026701 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jacqueline C Walsh-Snow · 2016 to 2026
$3.3M
REORGANIZATION OF VISUAL FUNCTION IN PATIENTS WITH POSTERIOR CORTICAL RESECTION: SELECTIVITY AND PLASTICITYR01EY027018 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Marlene Behrmann · 2017 to 2026
$3.2M
The Behavioral Brain (B2) Research Training ProgramT32GM142630 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Julie A Fiez, MATTHEW A SMITH · 2022 to 2026
$1.8M
NEI NIH HHS P30 EY008098NEI NIH HHS R01 EY026701NEI NIH HHS R01 EY027018NIGMS NIH HHS T32 GM008208NIGMS NIH HHS T32 GM081760NIGMS NIH HHS T32 GM142630
6 · The paper itself

Abstract

The processes of recognizing objects and acting upon or with them have traditionally been attributed to computations associated with ventral and dorsal visual pathways, respectively. Accumulating evidence indicates that specific regions of the two pathways interact but the extent and strength of the whole-brain network connectivity remain to be evaluated. Here, in two experiments, we characterized the whole-brain network connections of object-selective seeds in each pathway using multiple analytic approaches with functional MRI data acquired while participants viewed objects. The results revealed substantial spatial overlap in connectivity in the networks generated from a dorsal and a ventral seed - with the greater similarity of these object networks within an individual than the similarity of each network separately across individuals. This overlap persisted for both tools and non-tools even after controlling for the shared variance between pathways. Notably, the dorsal pathway showed overall stronger and more widespread connectivity than the ventral pathway and was a stronger source of effective connectivity across the brain. Together, these findings reveal that dorsal and ventral pathways form highly overlapping and distributed networks in the service of object perception.

Indexed as

Dorsal parietal cortexFunctional connectivityHigher-order visual areasObject recognitionRRID:_023356Ventral temporal cortex

Identifiers

PMID42040961
PMCPMC13105135

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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.