Evidence map›Paper›PMID 36726794›Full record

ArticleCerebral cortex communications2023

Temporal asymmetries and interactions between dorsal and ventral visual pathways during object recognition.

Vladislav Ayzenberg, Claire Simmons, Marlene Behrmann

Abstract read
In one paragraph

Article in Cerebral cortex communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Vladislav AyzenbergNeuroscience Institute and Psychology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.ORCID https://orcid.org/0000-0003-2739-3935
Claire SimmonsSchool of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.ORCID https://orcid.org/0000-0002-9940-9396
Marlene BehrmannNeuroscience Institute and Psychology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Funding

Medical Scientist Training ProgramT32GM144300 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RICHARD A STEINMAN, Russell S Schwartz · 2022 to 2026
$7.9M
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
NIGMS NIH HHS T32 GM081760NIGMS NIH HHS T32 GM144300
6 · The paper itself

Abstract

Despite their anatomical and functional distinctions, there is growing evidence that the dorsal and ventral visual pathways interact to support object recognition. However, the exact nature of these interactions remains poorly understood. Is the presence of identity-relevant object information in the dorsal pathway simply a byproduct of ventral input? Or, might the dorsal pathway be a source of input to the ventral pathway for object recognition? In the current study, we used high-density EEG-a technique with high temporal precision and spatial resolution sufficient to distinguish parietal and temporal lobes-to characterise the dynamics of dorsal and ventral pathways during object viewing. Using multivariate analyses, we found that category decoding in the dorsal pathway preceded that in the ventral pathway. Importantly, the dorsal pathway predicted the multivariate responses of the ventral pathway in a time-dependent manner, rather than the other way around. Together, these findings suggest that the dorsal pathway is a critical source of input to the ventral pathway for object recognition.

Indexed as

dorsal streamEEGmultivariate analysesobject recognitionshape perceptionventral stream

Identifiers

PMID36726794
PMCPMC9883614

What OpenQuestion holds

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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.