Evidence map›Paper›PMID 33850128›Full record

ArticleNature communications2021

Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism.

Bo-Yong Park, Seok-Jun Hong, Sofie L Valk, Casey Paquola, Oualid Benkarim, Richard A I Bethlehem, Adriana Di Martino, Michael P Milham, Alessandro Gozzi, B T Thomas Yeo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
10.9field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 110 citations in OpenAlex.

  1. Thalamocortical orchestration of human theory of mind.bioRxiv : the preprint server for biology · 2026
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  6. cuBNM: GPU-Accelerated Brain Network Modeling.bioRxiv : the preprint server for biology · 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

12 authors at 7 institutions in 7 countries.

Bo-Yong ParkMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada. bo.y.park@mcgill.ca.
Seok-Jun HongMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.ORCID 0000-0002-1847-578X
Sofie L ValkForschungszentrum, Julich, Germany.
Casey PaquolaMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.ORCID 0000-0002-0190-4103
Oualid BenkarimMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.ORCID 0000-0003-3922-7643
Richard A I BethlehemAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-0714-0685
Adriana Di MartinoCenter for the Developing Brain, Child Mind Institute, New York City, NY, USA.
Michael P MilhamCenter for the Developing Brain, Child Mind Institute, New York City, NY, USA.ORCID 0000-0003-3532-1210
Alessandro GozziIstituto Italiano di Tecnologia, Centre for Neuroscience and Cognitive Systems @ UNITN, Rovereto, Italy.
B T Thomas YeoDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-0119-3276
Jonathan SmallwoodDepartment of Psychology, York Neuroimaging Centre, University of York, York, UK.ORCID 0000-0002-7298-2459
Boris C BernhardtMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada. boris.bernhardt@mcgill.ca.ORCID 0000-0001-9256-6041
Montreal Neurological Institute and Hospital · CAChild Mind Institute · USForschungszentrum Jülich · DEItalian Institute of Technology · ITNational University of Singapore · SGQueen's University · CAUniversity of Cambridge · GB

Funding

Neurobiological basis of dysconnectivity in a genetic risk model of psychosisR21MH116473 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, GOZZI, ALESSANDRO · 2018 to 2019
$366k
CIHR FDN-154298NIMH NIH HHS R21 MH116473
6 · The paper itself

Abstract

The pathophysiology of autism has been suggested to involve a combination of both macroscale connectome miswiring and microcircuit anomalies. Here, we combine connectome-wide manifold learning with biophysical simulation models to understand associations between global network perturbations and microcircuit dysfunctions in autism. We studied neuroimaging and phenotypic data in 47 individuals with autism and 37 typically developing controls obtained from the Autism Brain Imaging Data Exchange initiative. Our analysis establishes significant differences in structural connectome organization in individuals with autism relative to controls, with strong between-group effects in low-level somatosensory regions and moderate effects in high-level association cortices. Computational models reveal that the degree of macroscale anomalies is related to atypical increases of recurrent excitation/inhibition, as well as subcortical inputs into cortical microcircuits, especially in sensory and motor areas. Transcriptomic association analysis based on postmortem datasets identifies genes expressed in cortical and thalamic areas from childhood to young adulthood. Finally, supervised machine learning finds that the macroscale perturbations are associated with symptom severity scores on the Autism Diagnostic Observation Schedule. Together, our analyses suggest that atypical subcortico-cortical interactions are associated with both microcircuit and macroscale connectome differences in autism.

Indexed as

AdolescentAutistic DisorderBrainBrain MappingCerebral CortexChildConnectomeFemaleGene Expression ProfilingHumansMaleNeuroimagingSeverity of Illness IndexThalamusTranscriptome

Identifiers

PMID33850128
PMCPMC8044226
OpenAlexW3156280969

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.