Evidence map›Paper›PMID 36169281›Full record

ArticleeLife2022

Flexing the principal gradient of the cerebral cortex to suit changing semantic task demands.

Zhiyao Gao, Li Zheng, Katya Krieger-Redwood, Ajay Halai, Daniel S Margulies, Jonathan Smallwood, Elizabeth Jefferies

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 27 citations in OpenAlex.

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  9. Whole-Brain Dimensions of Intrinsic Connectivity Capture Modality-Specific and Heteromodal Language Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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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

7 authors at 5 institutions in 4 countries.

Zhiyao GaoDepartment of Psychology, University of York, New York, United Kingdom.ORCID 0000-0002-8909-8096
Li ZhengDepartment of Psychology, University of Arizona, Tucson, United States.
Katya Krieger-RedwoodDepartment of Psychology, University of York, New York, United Kingdom.
Ajay HalaiMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Daniel S MarguliesIntegrative Neuroscience and Cognition Center (UMR 8002), Centre National de la Recherche Scientifique, Paris, France.
Jonathan SmallwoodDepartment of Psychology, Queens University, Kingston, Canada.
Elizabeth JefferiesDepartment of Psychology, University of York, New York, United Kingdom.
University of York · GBCentre National pour la Recherche Scientifique et Technique (CNRST) · MAMRC Cognition and Brain Sciences Unit · GBQueens University · BDUniversity of Arizona · US

Funding

Medical Research Council MR/V031481/1
6 · The paper itself

Abstract

Understanding how thought emerges from the topographical structure of the cerebral cortex is a primary goal of cognitive neuroscience. Recent work has revealed a principal gradient of intrinsic connectivity capturing the separation of sensory-motor cortex from transmodal regions of the default mode network (DMN); this is thought to facilitate memory-guided cognition. However, studies have not explored how this dimension of connectivity changes when conceptual retrieval is controlled to suit the context. We used gradient decomposition of informational connectivity in a semantic association task to establish how the similarity in connectivity across brain regions changes during familiar and more original patterns of retrieval. Multivoxel activation patterns at opposite ends of the principal gradient were more divergent when participants retrieved stronger associations; therefore, when long-term semantic information is sufficient for ongoing cognition, regions supporting heteromodal memory are functionally separated from sensory-motor experience. In contrast, when less related concepts were linked, this dimension of connectivity was reduced in strength as semantic control regions separated from the DMN to generate more flexible and original responses. We also observed fewer dimensions within the neural response towards the apex of the principal gradient when strong associations were retrieved, reflecting less complex or varied neural coding across trials and participants. In this way, the principal gradient explains how semantic cognition is organised in the human cerebral cortex: the separation of DMN from sensory-motor systems is a hallmark of the retrieval of strong conceptual links that are culturally shared.

Indexed as

SemanticsSensorimotor CortexBrain MappingCerebral CortexCognitionHumansMagnetic Resonance Imagingcortical gradienthumaninformational connectivityneurosciencerepresentational spacesemantic cognition

Identifiers

PMID36169281
PMCPMC9555860
OpenAlexW4297459760

What OpenQuestion holds

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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.