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

Park, B.-y., Hong, S.-J., Valk, S. L., Paquola, C., Benkarim, O., Bethlehem, R. A. I., et al. (2021). Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism. Nature Communications, 12: 2225. doi:10.1038/s41467-021-21732-0.

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 Creators:
Park, Bo-yong, Author
Hong, Seok-Jun, Author
Valk, Sofie L.1, Author              
Paquola, Casey, Author
Benkarim, Oualid, Author
Bethlehem, Richard A. I., Author
Di Martino, Adriana, Author
Milham, Michael P., Author
Gozzi, Alessandro, Author
Yeo, B. T. Thomas, Author
Smallwood, Jonathan, Author
Bernhardt, Boris C., Author
Affiliations:
1Otto Hahn Group Cognitive Neurogenetics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3222264              

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Free keywords: Autism spectrum disorders; Neuroscience
 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.

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Language(s): eng - English
 Dates: 2020-05-092021-02-052021-04-13
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41467-021-21732-0
PMID: 33850128
PMC: PMC8044226
 Degree: -

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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 12 Sequence Number: 2225 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723