Cited by 114Autism Spectrum Disorder ResearchFunctional Brain Connectivity StudiesGenetics and Neurodevelopmental Disorders

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Resting-state functional connectivity predicts longitudinal change in autistic traits and adaptive functioning in autism

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Plitt, Mark, Barnes, Kelly Anne, Wallace, Gregory L., Kenworthy, Lauren, Martin, Alex·2015·Proceedings of the National Academy of Sciences

DOI 10.1073/pnas.1510098112PMC PMC4672806

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Abstract

Significance: Few individuals diagnosed with autism spectrum disorder (ASD) go on to achieve high levels of independence or what are considered “very good” outcomes. As such, there is a need to identify predictors of outcomes to improve treatment and services for these individuals. Although behavioral and cognitive variables can predict substantial variance in outcomes, the majority of the variance remains unexplained. In this study, we investigated whether a measure of intrinsic functional brain connectivity [resting-state functional connectivity MRI (rs-fcMRI)] could add meaningful predictive power. Indeed, we found that connectivity involving several brain networks previously implicated in ASD could predict improvements in adaptive behaviors several years after the scan with a high degree of sensitivity.

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Authors: Plitt, M., Barnes, K. A., Wallace, G. L., Kenworthy, L., & Martin, A.
Affiliations: National Institutes of Health (US)
ORCID: Plitt, Mark
Wallace, Gregory L.
Kenworthy, Lauren
Martin, Alex
Venue: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Published: 2015-11-16
Volume: 112
Issue: 48
Pages: E6699-706
ISSN: 0027-8424 (ISSN-L)
1091-6490
DOI: 10.1073/pnas.1510098112
PMC: PMC4672806
OpenAlex: W2180390996
Cited by: 114
References: 68
Citations by year: 2026: 3 · 2025: 9 · 2024: 7 · 2023: 8 · 2022: 19 · 2021: 13 · 2020: 16 · 2019: 6 · 2018: 13 · 2017: 15 · 2016: 5
FWCI: 6.62
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Proceedings of the National Academy of Sciences (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
eScholarship (California Digital Library) (submittedVersion)
Funders: National Alliance for Research on Schizophrenia and Depression
Attias Family Foundation
National Institutes of Health
U.S. Public Health Service (ZIAMH002920)
National Institute of Mental Health (ZIAMH002920)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
Keywords: autism spectrum disorder, resting-state functional connectivity, autistic traits, adaptive behavior, salience network, default mode network, anterior insula, outcome prediction, longitudinal change
MeSH terms: Autism Spectrum Disorder, Machine Learning, Adolescent, Adult, Behavior, Brain, Brain Mapping, Cerebral Cortex, Child, Child, Preschool, Cognition, Female, Follow-Up Studies, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Regression Analysis, Time Factors, Reproducibility of Results, Young Adult

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Resting-state functional connectivity predicts longitudinal change in autistic traits and adaptive functioning in autism

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