4.8 Article

Atypical functional connectome hierarchy in autism

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NATURE COMMUNICATIONS
卷 10, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-019-08944-1

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资金

  1. NIH [K23MH087770, R21MH084126, R01MH081218, R01HD065282, HD55748]
  2. Autism Speaks [04593]
  3. Stavros Niarchos Foundation
  4. Leon Levy Foundation
  5. KO1 NIMH [MH081191]
  6. NIMH [MH67924, NIMH-105506, NIMH-099059]
  7. National Institutes of Health [K08 MH092697, RO1MH080826, P50MH60450, T32DC008553, R01NS34783]
  8. Autism Speaks Mentor-based Predoctoral Fellowship [1677]
  9. University of Utah Multidisciplinary Research Seed Grant
  10. NRSA Predoctoral Fellowship [F31 DC010143]
  11. Ben B. and Iris M. Margolis Foundation
  12. McGill Faculty of Medicine
  13. Canadian League Against Epilepsy
  14. CIHR
  15. Autism Research Trust
  16. British Academy [PF2\180017]
  17. Jeanne Timmins Costello Fellowship
  18. FRQS
  19. European Research Council [WANDERINGMINDS-ERC646927]
  20. NSERC [Discovery-1304413]
  21. CIHR [FDN-154298]
  22. Azrieli Center for Autism Research of the Montreal Neurological Institute (ACAR)
  23. SickKids Foundation [NI17-039]
  24. FRQS (Chercheur Boursier Junior 1)
  25. Transforming Autism Care Consortium (TACC)
  26. MNI-Cambridge collaboration grant

向作者/读者索取更多资源

One paradox of autism is the co-occurrence of deficits in sensory and higher-order socio-cognitive processing. Here, we examined whether these phenotypical patterns may relate to an overarching system-level imbalance-specifically a disruption in macroscale hierarchy affecting integration and segregation of unimodal and transmodal networks. Combining connectome gradient and stepwise connectivity analysis based on task-free functional magnetic resonance imaging (fMRI), we demonstrated atypical connectivity transitions between sensory and higher-order default mode regions in a large cohort of individuals with autism relative to typically-developing controls. Further analyses indicated that reduced differentiation related to perturbed stepwise connectivity from sensory towards transmodal areas, as well as atypical long-range rich-club connectivity. Supervised pattern learning revealed that hierarchical features predicted deficits in social cognition and low-level behavioral symptoms, but not communication-related symptoms. Our findings provide new evidence for imbalances in network hierarchy in autism, which offers a parsimonious reference frame to consolidate its diverse features.

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