ArticleMolecular psychiatry2021
Brain mapping across 16 autism mouse models reveals a spectrum of functional connectivity subtypes.
Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 68 papers.
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Who cites it
68 citing papers in PubMed.
- Altered striatal long-term potentiation in the eIF4E-TG mouse model of autism spectrum disorder.iScience · 2026Article
- Social regression stems from a latent phase of GABAergic dysfunction and sensory breakdown in a model of synaptopathy.Molecular psychiatry · 2026Article
- Male-Biased Social Deficits in Chd8Neuroscience bulletin · 2026Article
- Autism subtypes identified using cross-species functional connectivity analyses.Nature neuroscience · 2026Article
- Parsing autism spectrum heterogeneity through fMRI.Nature neuroscience · 2026Article
- Thalamic nuclei volumes across psychiatric and neurological disorders: a multi-site magnetic resonance imaging study.Translational psychiatry · 2026Article
- Machine-enhanced reconstruction of functional connectomes unravels discriminative brain sub-systems in health and disease.Scientific reports · 2026Article
- Shared and divergent alteration of whole-brain connectivity and sensory deficits in multiple autism mouse models.Molecular psychiatry · 2026Article
- Comparative study of ERP habituation to tones and fearful vocalizations in autism spectrum disorders: a translational biomarker for sensory hypersensitivity.Molecular psychiatry · 2026Article
- Connectomic and behavioural alterations in creatine transporter deficiency are partially normalized by gene therapy.Brain : a journal of neurology · 2026Article
- Biophysical mechanisms of default mode network function and dysfunction.bioRxiv : the preprint server for biology · 2026Article
- Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain.PLoS computational biology · 2026Article
- TransBrain: a computational framework for translating brain-wide phenotypes between humans and mice.Nature methods · 2026Article
- Microglia drive synaptic and functional connectivity deficits in the Ts65Dn mouse model of Down syndrome by affecting inhibition.Acta neuropathologica communications · 2025Article
- CYFIP1 governs the development of cortical axons by modulating calcium availability.Nature communications · 2025Article
- AMPK Activation by ENERGI Ameliorates Behavioral and Synaptic Deficits in a Mouse Model of Autism.Molecular neurobiology · 2025Article
- Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Brain-wide connectivity and novelty response of the dorsal endopiriform nucleus in mice.Cell reports · 2025Article
- A common computational and neural anomaly across mouse models of autism.Nature neuroscience · 2025Article
- Advanced preclinical functional magnetic resonance imaging of the brain.Npj imaging · 2025Review
8 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
18 authors.
Funding
Abstract
Autism Spectrum Disorder (ASD) is characterized by substantial, yet highly heterogeneous abnormalities in functional brain connectivity. However, the origin and significance of this phenomenon remain unclear. To unravel ASD connectopathy and relate it to underlying etiological heterogeneity, we carried out a bi-center cross-etiological investigation of fMRI-based connectivity in the mouse, in which specific ASD-relevant mutations can be isolated and modeled minimizing environmental contributions. By performing brain-wide connectivity mapping across 16 mouse mutants, we show that different ASD-associated etiologies cause a broad spectrum of connectional abnormalities in which diverse, often diverging, connectivity signatures are recognizable. Despite this heterogeneity, the identified connectivity alterations could be classified into four subtypes characterized by discrete signatures of network dysfunction. Our findings show that etiological variability is a key determinant of connectivity heterogeneity in ASD, hence reconciling conflicting findings in clinical populations. The identification of etiologically-relevant connectivity subtypes could improve diagnostic label accuracy in the non-syndromic ASD population and paves the way for personalized treatment approaches.
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