Evidence map›Paper›PMID 33253185›Full record

ArticlePLoS biology2020

A multi-scale cortical wiring space links cellular architecture and functional dynamics in the human brain.

Casey Paquola, Jakob Seidlitz, Oualid Benkarim, Jessica Royer, Petr Klimes, Richard A I Bethlehem, Sara Larivière, Reinder Vos de Wael, Raul Rodríguez-Cruces, Jeffery A Hall and 3 more

Abstract read
In one paragraph

Article in PLoS biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

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  14. Perinatal development of structural thalamocortical connectivity.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
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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

13 authors.

Casey PaquolaMultimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Jakob SeidlitzDevelopmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, Maryland, United States of America.ORCID 0000-0002-8164-7476
Oualid BenkarimMultimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Jessica RoyerMultimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-4448-8998
Petr KlimesMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Richard A I BethlehemDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-0714-0685
Sara LarivièreMultimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.ORCID 0000-0001-5701-1307
Reinder Vos de WaelMultimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-0574-6576
Raul Rodríguez-CrucesMultimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-2917-1212
Jeffery A HallMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Birgit FrauscherMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Jonathan SmallwoodYork Neuroimaging Center, University of York, York, United Kingdom.
Boris C BernhardtMultimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.ORCID 0000-0001-9256-6041

Funding

CIHR FDN-154298
6 · The paper itself

Abstract

The vast net of fibres within and underneath the cortex is optimised to support the convergence of different levels of brain organisation. Here, we propose a novel coordinate system of the human cortex based on an advanced model of its connectivity. Our approach is inspired by seminal, but so far largely neglected models of cortico-cortical wiring established by postmortem anatomical studies and capitalises on cutting-edge in vivo neuroimaging and machine learning. The new model expands the currently prevailing diffusion magnetic resonance imaging (MRI) tractography approach by incorporation of additional features of cortical microstructure and cortico-cortical proximity. Studying several datasets and different parcellation schemes, we could show that our coordinate system robustly recapitulates established sensory-limbic and anterior-posterior dimensions of brain organisation. A series of validation experiments showed that the new wiring space reflects cortical microcircuit features (including pyramidal neuron depth and glial expression) and allowed for competitive simulations of functional connectivity and dynamics based on resting-state functional magnetic resonance imaging (rs-fMRI) and human intracranial electroencephalography (EEG) coherence. Our results advance our understanding of how cell-specific neurobiological gradients produce a hierarchical cortical wiring scheme that is concordant with increasing functional sophistication of human brain organisation. Our evaluations demonstrate the cortical wiring space bridges across scales of neural organisation and can be easily translated to single individuals.

Indexed as

AdultBrainCerebral CortexConnectomeDiffusion Magnetic Resonance ImagingDrug Resistant EpilepsyElectrocorticographyEpilepsies, PartialFemaleFunctional NeuroimagingHumansMachine LearningMaleModels, AnatomicModels, NeurologicalNerve Net

Identifiers

PMID33253185
PMCPMC7728398

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.