Evidence map›Paper›PMID 41118387›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2025

Neural oscillations and top-down connectivity are modulated by object-scene congruency.

Ye Gu, Alexandra Krugliak, Alex Clarke

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Ye GuDepartment of Psychology, University of Cambridge, Downing Place, Cambridge, CB2 3EB, United Kingdom.
Alexandra KrugliakCognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge, CB2 7EF, United Kingdom.
Alex ClarkeDepartment of Psychology, University of Cambridge, Downing Place, Cambridge, CB2 3EB, United Kingdom.ORCID 0000-0001-7768-5229

Funding

Wellcome Trust 211200/Z/18/Z
6 · The paper itself

Abstract

The knowledge we have about how the world is structured is known to influence object recognition. One way this is demonstrated is through a congruency effect, where object recognition is faster and more accurate if items are presented in expected scene contexts. However, our understanding of the dynamic neural mechanisms that underlie congruency effects are under-explored. Using magnetoencephalography (MEG), we examine how the congruency between an object and a prior scene results in changes in the oscillatory activity in the brain, which regions underpin this effect, and whether congruency results arise from top-down or bottom-up modulations of connectivity. We observed that prior scene information impacts the processing of visual objects in behavior, neural activity, and connectivity. Processing objects that were incongruent with the prior scene resulted in slower reaction times, increased low frequency activity in the ventral visual pathway, and increased top-down connectivity from the anterior temporal lobe and frontal cortex to the posterior ventral temporal cortex. Our results reveal that the recurrent dynamics within the ventral visual pathway are modulated by the prior knowledge imbued by our surrounding environment, suggesting that the way we recognize objects is fundamentally linked to their context.

Indexed as

BrainPattern Recognition, VisualRecognition, PsychologyVisual PerceptionAdultBrain MappingFemaleHumansMagnetoencephalographyMalePhotic StimulationReaction TimeVisual PathwaysYoung Adultanterior temporal lobecontexteffective connectivityobject recognitionsemantics

Identifiers

PMID41118387
PMCPMC12539567

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.