Evidence map›Paper›PMID 34491289›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

The Anticipatory and Task-Driven Nature of Visual Perception.

Sebo Uithol, Katherine L Bryant, Ivan Toni, Rogier B Mars

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 28 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 4 institutions in 2 countries.

Sebo UitholDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 HR, Nijmegen, the Netherlands.
Katherine L BryantDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 HR, Nijmegen, the Netherlands.
Ivan ToniDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 HR, Nijmegen, the Netherlands.
Rogier B MarsDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 HR, Nijmegen, the Netherlands.
Leiden University · NLRadboud University Nijmegen · NLUniversity of Oxford · GBWellcome Centre for Integrative Neuroimaging · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Humans have a remarkable capacity to arrange and rearrange perceptual input according to different categorizations. This begs the question whether the categorization is exclusively a higher visual or amodal process, or whether categorization processes influence early visual areas as well. To investigate this we scanned healthy participants in a magnetic resonance imaging scanner during a conceptual decision task in which participants had to answer questions about upcoming images of animals. Early visual cortices (V1 and V2) contained information about the current visual input, about the granularity of the forthcoming categorical decision, as well as perceptual expectations about the upcoming visual stimulus. The middle temporal gyrus, the anterior temporal lobe, and the inferior frontal gyrus were also involved in the categorization process, constituting an attention and control network that modulates perceptual processing. These findings provide further evidence that early visual processes are driven by conceptual expectations and task demands.

Indexed as

Brain MappingVisual PerceptionAnimalsAttentionHumansMagnetic Resonance ImagingTemporal Lobeconceptual knowledgeFMRIMVPAvisual Categorization

Identifiers

PMID34491289
PMCPMC8567999
OpenAlexW3172450151

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.