Evidence map›Paper›PMID 39261969›Full record

ArticleMolecular autism2024

Contracted functional connectivity profiles in autism.

Clara F Weber, Valeria Kebets, Oualid Benkarim, Sara Lariviere, Yezhou Wang, Alexander Ngo, Hongxiu Jiang, Xiaoqian Chai, Bo-Yong Park, Michael P Milham and 4 more

Abstract read
In one paragraph

Article in Molecular autism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Male-Biased Social Deficits in Chd8Neuroscience bulletin · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. 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

14 authors.

Clara F WeberMultimodal Imaging and Connectome Analysis Laboratory, McConnell Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Valeria KebetsMultimodal Imaging and Connectome Analysis Laboratory, McConnell Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Oualid BenkarimMultimodal Imaging and Connectome Analysis Laboratory, McConnell Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Sara LariviereMultimodal Imaging and Connectome Analysis Laboratory, McConnell Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Yezhou WangMultimodal Imaging and Connectome Analysis Laboratory, McConnell Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Alexander NgoMultimodal Imaging and Connectome Analysis Laboratory, McConnell Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Hongxiu JiangMultimodal Imaging and Connectome Analysis Laboratory, McConnell Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Xiaoqian ChaiDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Bo-Yong ParkDepartment of Data Science, Inha University, Incheon, South Korea.
Michael P MilhamCenter for the Developing Brain, Child Mind Institute, New York, USA.
Adriana Di MartinoCenter for the Developing Brain, Child Mind Institute, New York, USA.
Sofie ValkCognitive Neurogenetics Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Seok-Jun HongCenter for Neuroscience Imaging Research, Institute for Basic Research, Suwon, South Korea.
Boris C BernhardtMultimodal Imaging and Connectome Analysis Laboratory, McConnell Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada. boris.bernhardt@mcgill.ca.

Funding

Azrieli Center for Autism Research ACAR-TACCCIHR CIHR FDN-154298, PJT-174995, PJT-191853National Science and Engineering Research Council of Canada NSERC Discovery-1304413SickKids Foundation NI17-039
6 · The paper itself

Abstract

objectiveAutism spectrum disorder (ASD) is a neurodevelopmental condition that is associated with atypical brain network organization, with prior work suggesting differential connectivity alterations with respect to functional connection length. Here, we tested whether functional connectopathy in ASD specifically relates to disruptions in long- relative to short-range functional connections. Our approach combined functional connectomics with geodesic distance mapping, and we studied associations to macroscale networks, microarchitectural patterns, as well as socio-demographic and clinical phenotypes.

methodsWe studied 211 males from three sites of the ABIDE-I dataset comprising 103 participants with an ASD diagnosis (mean ± SD age = 20.8 ± 8.1 years) and 108 neurotypical controls (NT, 19.2 ± 7.2 years). For each participant, we computed cortex-wide connectivity distance (CD) measures by combining geodesic distance mapping with resting-state functional connectivity profiling. We compared CD between ASD and NT participants using surface-based linear models, and studied associations with age, symptom severity, and intelligence scores. We contextualized CD alterations relative to canonical networks and explored spatial associations with functional and microstructural cortical gradients as well as cytoarchitectonic cortical types.

resultsCompared to NT, ASD participants presented with widespread reductions in CD, generally indicating shorter average connection length and thus suggesting reduced long-range connectivity but increased short-range connections. Peak reductions were localized in transmodal systems (i.e., heteromodal and paralimbic regions in the prefrontal, temporal, and parietal and temporo-parieto-occipital cortex), and effect sizes correlated with the sensory-transmodal gradient of brain function. ASD-related CD reductions appeared consistent across inter-individual differences in age and symptom severity, and we observed a positive correlation of CD to IQ scores. LIMITATIONS: Despite rigorous harmonization across the three different acquisition sites, heterogeneity in autism poses a potential limitation to the generalizability of our results. Additionally, we focussed male participants, warranting future studies in more balanced cohorts.

conclusionsOur study showed reductions in CD as a relatively stable imaging phenotype of ASD that preferentially impacted paralimbic and heteromodal association systems. CD reductions in ASD corroborate previous reports of ASD-related imbalance between short-range overconnectivity and long-range underconnectivity.

Indexed as

ConnectomeMagnetic Resonance ImagingAdolescentAdultAutism Spectrum DisorderAutistic DisorderBrainCase-Control StudiesChildHumansMaleNerve NetNeural PathwaysYoung AdultAutism spectrum disorderConnectivity disruptionsDistance profilingFunctional connectivityMagnetic resonance imagingNeurodevelopmental disorders

Identifiers

PMID39261969
PMCPMC11391747

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.