ArticleHuman brain mapping2020
Nonreplication of functional connectivity differences in autism spectrum disorder across multiple sites and denoising strategies.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Presymptomatic Biological, Structural, and Functional Diagnostic Biomarkers of Autism Spectrum Disorder.Journal of neurochemistry · 2025Pooled it
- Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneity.bioRxiv : the preprint server for biology · 2026Article
- Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach.PLOS digital health · 2026Article
- Reduced inter-subject functional connectivity during movies in autism: replicability across cross-national fMRI datasets.Molecular autism · 2026Article
- Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia.Communications biology · 2025Article
- Brain functional connectivity correlates of autism diagnosis and familial liability in 24-month-olds.Journal of neurodevelopmental disorders · 2025Article
- Insular functional connectivity in autistic and non-autistic development.Biological psychology · 2025Article
- Resting-State Functional Connectivity of the Amygdala in Autism: A Preregistered Large-Scale Study.The American journal of psychiatry · 2024Article
- Comparison of different group-level templates in gradient-based multimodal connectivity analysis.Network neuroscience (Cambridge, Mass.) · 2024Article
- Delineating a Pathway for the Discovery of Functional Connectome Biomarkers of Autism.Advances in neurobiology · 2024Review
- Comparing data-driven physiological denoising approaches for resting-state fMRI: implications for the study of aging.Frontiers in neuroscience · 2024Article
- Identifying Replicable Subgroups in Neurodevelopmental Conditions Using Resting-State Functional Magnetic Resonance Imaging Data.JAMA network open · 2023Article
- Assessing Predictive Ability of Dynamic Time Warping Functional Connectivity for ASD Classification.International journal of biomedical imaging · 2023Article
- Reproducibility of regional structural and functional MRI networks in cerebral small vessel disease compared to age matched and stroke-free controls.Cerebral circulation - cognition and behavior · 2023Article
- A Complex Systems Perspective on Neuroimaging Studies of Behavior and Its Disorders.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2022Review
- Identification of Young High-Functioning Autism Individuals Based on Functional Connectome Using Graph Isomorphism Network: A Pilot Study.Brain sciences · 2022Article
- Video-evoked fMRI BOLD responses are highly consistent across different data acquisition sites.Human brain mapping · 2022Article
- More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism.Network neuroscience (Cambridge, Mass.) · 2022Article
- Brain mapping across 16 autism mouse models reveals a spectrum of functional connectivity subtypes.Molecular psychiatry · 2021Article
- Comparison of traveling-subject and ComBat harmonization methods for assessing structural brain characteristics.Human brain mapping · 2021Article
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Authors and funding
3 authors.
Funding
Abstract
A rapidly growing number of studies on autism spectrum disorder (ASD) have used resting-state fMRI to identify alterations of functional connectivity, with the hope of identifying clinical biomarkers or underlying neural mechanisms. However, results have been largely inconsistent across studies, and there remains a pressing need to determine the primary factors influencing replicability. Here, we used resting-state fMRI data from the Autism Brain Imaging Data Exchange to investigate two potential factors: denoising strategy and data site (which differ in terms of sample, data acquisition, etc.). We examined the similarity of both group-averaged functional connectomes and group-level differences (ASD vs. control) across 33 denoising pipelines and four independently-acquired datasets. The group-averaged connectomes were highly consistent across pipelines (r = 0.92 ± 0.06) and sites (r = 0.88 ± 0.02). However, the group differences, while still consistent within site across pipelines (r = 0.76 ± 0.12), were highly inconsistent across sites regardless of choice of denoising strategies (r = 0.07 ± 0.04), suggesting lack of replication may be strongly influenced by site and/or cohort differences. Across-site similarity remained low even when considering the data at a large-scale network level or when considering only the most significant edges. We further show through an extensive literature survey that the parameters chosen in the current study (i.e., sample size, age range, preprocessing methods) are quite representative of the published literature. These results highlight the importance of examining replicability in future studies of ASD, and, more generally, call for extra caution when interpreting alterations in functional connectivity across groups of individuals.
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