Evidence map›Paper›PMID 40093106›Full record

ArticlebioRxiv : the preprint server for biology2025

Biological subtyping of autism via cross-species fMRI.

Marco Pagani, Valerio Zerbi, Silvia Gini, Filomena Alvino, Abhishek Banerjee, Andrea Barberis, M Albert Basson, Yuri Bozzi, Alberto Galbusera, Jacob Ellegood and 13 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Marco PaganiFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, CNCS@UNITN, Rovereto, Italy.
Valerio ZerbiDepartment of Psychiatry, University of Geneva, Switzerland.
Silvia GiniFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, CNCS@UNITN, Rovereto, Italy.
Filomena AlvinoFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, CNCS@UNITN, Rovereto, Italy.
Abhishek BanerjeeBrain Research Institute, University of Zurich, Zurich, Switzerland.
Andrea BarberisSynaptic Plasticity of Inhibitory Networks, Istituto Italiano di Tecnologia, Genova, Italy.
M Albert BassonCentre for Craniofacial and Regenerative Biology, King's College London, London, UK.
Yuri BozziCenter for Mind and Brain Sciences (CIMeC), University of Trento, Rovereto, Italy.
Alberto GalbuseraFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, CNCS@UNITN, Rovereto, Italy.
Jacob EllegoodBloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Michela FagioliniBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Jason LerchWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Michela MatteoliHumanitas University, Milan, Italy.
Caterina MontaniFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, CNCS@UNITN, Rovereto, Italy.
Davide PozziCNR Institute of Neuroscience c/o Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy.
Giovanni ProvenzanoDepartment of Cellular, Computational and Integrative Biology. University of Trento, Trento, Italy.
Maria Luisa ScattoniResearch Coordination and Support Service, Istituto Superiore di Sanità, Rome, Italy.
Nicole WenderothNeural Control of Movement Lab, ETH Zürich, Switzerland.
Ting XuCenter for Integrative Developing Brain, Child Mind Institute, New York, NY, USA.
Michael LombardoLaboratory for Autism and Neurodevelopmental Disorders, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, Rovereto, Italy.
Michael P MilhamCenter for the Integrative Developmental Neuroscience, Child Mind Institute, New York, NY, USA.
Adriana Di MartinoAutism Center, Child Mind Institute, New York, NY, USA.
Alessandro GozziFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, CNCS@UNITN, Rovereto, Italy.

Funding

Neuronal Correlates of Autistic Traits in ADHD and AutismR01MH105506 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DI MARTINO, ADRIANA · 2015 to 2019
$3.7M
A mega-analysis framework for delineating autism neurosubtypesR01MH133334 · NIMH · CHILD MIND INSTITUTE, INC. · PI Adriana Di Martino · 2023 to 2026
$2.9M
An Alignment Framework For Mapping Brain Dynamics and Substrates of Human Cognition Across SpeciesRF1MH128696 · NIMH · CHILD MIND INSTITUTE, INC. · PI XU, TING · 2021 to 2021
$1.2M
NIMH NIH HHS R01 MH105506NIMH NIH HHS R01 MH133334NIMH NIH HHS RF1 MH128696
6 · The paper itself

Abstract

It is frequently assumed that the phenotypic heterogeneity in autism spectrum disorder reflects underlying pathobiological variation. However, direct evidence in support of this hypothesis is lacking. Here, we leverage cross-species functional neuroimaging to examine whether variability in brain functional connectivity reflects distinct biological mechanisms. We find that fMRI connectivity alterations in 20 distinct mouse models of autism (n=549 individual mice) can be clustered into two prominent hypo- and hyperconnectivity subtypes. We show that these connectivity profiles are linked to distinct signaling pathways, with hypoconnectivity being associated with synaptic dysfunction, and hyperconnectivity reflecting transcriptional and immune-related alterations. Extending these findings to humans, we identify analogous hypo- and hyperconnectivity subtypes in a large, multicenter resting state fMRI dataset of n=940 autistic and n=1036 neurotypical individuals. Remarkably, hypo- and hyperconnectivity autism subtypes are replicable across independent cohorts (accounting for 25.1% of all autism data), exhibit distinct functional network architecture, are behaviorally dissociable, and recapitulate synaptic and immune mechanisms identified in corresponding mouse subtypes. Our cross-species investigation, thus, decodes the heterogeneity of fMRI connectivity in autism into distinct pathway-specific etiologies, offering a new empirical framework for targeted subtyping of autism.

Indexed as

autismconnectomicscross-specieshyperconnectivityhypoconnectivityimmune regulationmousesubtypingsynaptic signalingtranscriptional regulation

Identifiers

PMID40093106
PMCPMC11908180

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.