Evidence map›Paper›PMID 34510282›Full record

ArticleBrain structure & function2022

A tale of two gradients: differences between the left and right hemispheres predict semantic cognition.

Tirso Rene Del Jesus Gonzalez Alam, Brontë L A Mckeown, Zhiyao Gao, Boris Bernhardt, Reinder Vos de Wael, Daniel S Margulies, Jonathan Smallwood, Elizabeth Jefferies

Open access · hybridAbstract read
In one paragraph

Article in Brain structure & function, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  6. Narrative "twist" shifts within-individual neural representations of dissociable story features.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. 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

8 authors at 4 institutions in 3 countries.

Tirso Rene Del Jesus Gonzalez AlamDepartment of Psychology, University of York, York, UK. tirso.gonzalez.alam@york.ac.uk.ORCID http://orcid.org/0000-0003-4510-2441
Brontë L A MckeownDepartment of Psychology, University of York, York, UK.
Zhiyao GaoDepartment of Psychology, University of York, York, UK.ORCID http://orcid.org/0000-0002-8909-8096
Boris BernhardtMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0001-9256-6041
Reinder Vos de WaelMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0003-0574-6576
Daniel S MarguliesCentre National de la Recherche Scientifique (CNRS) and Université de Paris, INCC UMR 8002, Paris, France.ORCID http://orcid.org/0000-0002-8880-9204
Jonathan SmallwoodQueen's University, Kingston, ON, Canada.ORCID http://orcid.org/0000-0002-7298-2459
Elizabeth JefferiesDepartment of Psychology, University of York, York, UK.ORCID http://orcid.org/0000-0002-3826-4330
University of York · GBMontreal Neurological Institute and Hospital · CACentre National de la Recherche Scientifique · FRQueen's University · CA

Funding

H2020 European Research Council FLEXSEM-771863
6 · The paper itself

Abstract

Decomposition of whole-brain functional connectivity patterns reveals a principal gradient that captures the separation of sensorimotor cortex from heteromodal regions in the default mode network (DMN). Functional homotopy is strongest in sensorimotor areas, and weakest in heteromodal cortices, suggesting there may be differences between the left and right hemispheres (LH/RH) in the principal gradient, especially towards its apex. This study characterised hemispheric differences in the position of large-scale cortical networks along the principal gradient, and their functional significance. We collected resting-state fMRI and semantic, working memory and non-verbal reasoning performance in 175 + healthy volunteers. We then extracted the principal gradient of connectivity for each participant, tested which networks showed significant hemispheric differences on the gradient, and regressed participants' behavioural efficiency in tasks outside the scanner against interhemispheric gradient differences for each network. LH showed a higher overall principal gradient value, consistent with its role in heteromodal semantic cognition. One frontotemporal control subnetwork was linked to individual differences in semantic cognition: when it was nearer heteromodal DMN on the principal gradient in LH, participants showed more efficient semantic retrieval-and this network also showed a strong hemispheric difference in response to semantic demands but not working memory load in a separate study. In contrast, when a dorsal attention subnetwork was closer to the heteromodal end of the principal gradient in RH, participants showed better visual reasoning. Lateralization of function may reflect differences in connectivity between control and heteromodal regions in LH, and attention and visual regions in RH.

Indexed as

SemanticsSensorimotor CortexBrainBrain MappingCognitionFunctional LateralityHumansMagnetic Resonance ImagingMemory, Short-TermfMRIGradientsHemispheric specializationIntrinsic connectivityLateralitySemantic cognition

Identifiers

PMID34510282
PMCPMC8844158
OpenAlexW3200648330

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.