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Multiscale heterogeneity of atypical functional connectivity in autism

Abstract:
Group-mean comparisons often identify atypical functional connectivity in autism, but it remains unclear whether these findings consistently manifest at the individual level. Here we use normative modeling to quantify the interindividual heterogeneity of atypical functional connectivity across multiple brain scales using multicenter resting-state functional magnetic resonance imaging data from 1,824 participants (796 autistic individuals and 1,028 neurotypical controls) in a cross-sectional study across 32 sites. We find that no single functional connectivity estimate showed extreme deviation from normative expectations in more than 4% of people in either group. However, these deviations converged on common regions and networks in autistic people, who showed up to double the level of overlap compared with controls. Specifically, autistic participants demonstrated convergent hypoconnectivity in sensorimotor and attention regions and convergent hyperconnectivity between frontoparietal and default mode networks. Functional connectivity deviation patterns significantly predicted social and cognitive abilities. These findings demonstrate that autism exhibits scale-dependent heterogeneity, characterized by normative variability at the connection level but significant convergence at regional and network scales. These convergent regions and networks may be used to identify targets for individualized therapeutic development.
Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0001-6251-8196
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Role:
Author
ORCID:
0000-0002-8358-8625


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Funder identifier:
10.13039/100011102
Grant:
FP7/2007-2013
More from this funder
Funder identifier:
10.13039/100010661
Grant:
643051
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Funder identifier:
10.13039/100008717
Grant:
3274306
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Funder identifier:
10.13039/501100001826
Grant:
452172019
More from this funder
Funder identifier:
10.13039/501100010767
Grant:
115300


Publisher:
Nature Research
Journal:
nature mental health More from this journal
Volume:
4
Issue:
6
Pages:
1010-1020
Publication date:
2026-06-01
Acceptance date:
2026-04-22
DOI:
EISSN:
2731-6076
ISSN:
2731-6076


Language:
English
Keywords:
Source identifiers:
4227538
Deposit date:
2026-06-12
ARK identifier:
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