Evidence map›Paper›PMID 39613829›Full record

ArticleCommunications biology2024

A function-based mapping of sensory integration along the cortical hierarchy.

Wei Wei, R Austin Benn, Robert Scholz, Victoria Shevchenko, Ulysse Klatzmann, Francesco Alberti, Rocco Chiou, Demian Wassermann, Tamara Vanderwal, Jonathan Smallwood and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

11 authors.

Wei WeiCognitive Neuroanatomy Lab, Université Paris Cité, INCC UMR 8002, CNRS, Paris, France. wei.wei@etu.u-paris.fr.ORCID 0000-0001-7671-282X
R Austin BennCognitive Neuroanatomy Lab, Université Paris Cité, INCC UMR 8002, CNRS, Paris, France.
Robert ScholzCognitive Neuroanatomy Lab, Université Paris Cité, INCC UMR 8002, CNRS, Paris, France.
Victoria ShevchenkoCognitive Neuroanatomy Lab, Université Paris Cité, INCC UMR 8002, CNRS, Paris, France.ORCID 0000-0002-5640-7956
Ulysse KlatzmannCognitive Neuroanatomy Lab, Université Paris Cité, INCC UMR 8002, CNRS, Paris, France.
Francesco AlbertiCognitive Neuroanatomy Lab, Université Paris Cité, INCC UMR 8002, CNRS, Paris, France.ORCID 0000-0001-5732-8224
Rocco ChiouSchool of Psychology, University of Surrey, Surrey, United Kingdom.
Demian WassermannUniversité Paris-Saclay, Inria, CEA, Palaiseau, France.ORCID 0000-0001-5194-6056
Tamara VanderwalDepartment of Psychiatry, University of British Columbia, Vancouver, Canada.
Jonathan SmallwoodDepartment of Psychology, Queen's University, Kingston, Canada.ORCID 0000-0002-7298-2459
Daniel S MarguliesCognitive Neuroanatomy Lab, Université Paris Cité, INCC UMR 8002, CNRS, Paris, France. daniel.margulies@cnrs.fr.

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 866533Wellcome Trust
6 · The paper itself

Abstract

Sensory information mainly travels along a hierarchy spanning unimodal to transmodal regions, forming multisensory integrative representations crucial for higher-order cognitive functions. Here, we develop an fMRI based two-dimensional framework to characterize sensory integration based on the anchoring role of the primary cortex in the organization of sensory processing. Sensory magnitude captures the percentage of variance explained by three primary sensory signals and decreases as the hierarchy ascends, exhibiting strong similarity to the known hierarchy and high stability across different conditions. Sensory angle converts associations with three primary sensory signals to an angle representing the proportional contributions of different sensory modalities. This dimension identifies differences between brain states and emphasizes how sensory integration changes flexibly in response to varying cognitive demands. Furthermore, meta-analytic functional decoding with our model highlights the close relationship between cognitive functions and sensory integration, showing its potential for future research of human cognition through sensory information processing.

Indexed as

Brain MappingCognitionMagnetic Resonance ImagingAdultCerebral CortexFemaleHumansMaleSensationYoung Adult

Identifiers

PMID39613829
PMCPMC11607388

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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.