Cited by 359Autism Spectrum Disorder ResearchFunctional Brain Connectivity StudiesGenetics and Neurodevelopmental Disorders

Functional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age

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Emerson, Robert W., Adams, Chloe, Nishino, Tomoyuki, Hazlett, Heather Cody, Wolff, Jason J., Zwaigenbaum, Lonnie, Constantino, John N., Shen, Mark D. +18 more·2017·Science Translational Medicine

Abstract

Functional brain imaging of 6-month-old infants with a high familial risk for autism predicts a diagnosis of autism at 24 months of age.

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Crossref · 10.1126/scitranslmed.aag2882

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  • MRI work in ASD has been limited by small sample sizes and problems with replication likely caused by challenges with MRI data collection in people with ASD, such as differences in data processing, inter-subject variability and data quality.

    “In addition, the work has been limited by small sample sizes and problems with replication that is likely caused by the many challenges with MRI data collection in people with ASD, such as differences in data processing, inter-subject variability and data quality 76”

    From Autism spectrum disorder (2020) · cites this paper as [76]

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  • Machine-learning based prediction frameworks are beginning to be applied to infant imaging.

    “Machine-learning based prediction frameworks are beginning to be applied to infant imaging201–203”

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Research works printed but not linked: 2

  1. [44]Mullen EM Mullen Scales of Early Learning: AGS Edition American Guidance Service Publishing 1995
  2. [57]Greene DJ Church JA Dosenbach NU Nielsen AN Adeyemo B Nardos B Petersen SE Black KJ Schlaggar BL Multivariate pattern classification of pediatric Tourette syndrome using functional connectivity MRI Dev Sci 19 581 598 2016 26834084 PMC4945470

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Authors
Emerson, R. W., Adams, C., Nishino, T., Hazlett, H. C., Wolff, J. J., Zwaigenbaum, L., Constantino, J. N., Shen, M. D., Swanson, M. R., Elison, J. T., Kandala, S., Estes, A. M., Botteron, K. N., Collins, L., Dager, S. R., Evans, A. C., Gerig, G., Gu, H., McKinstry, R. C., Paterson, S., Schultz, R. T., Styner, M., IBIS Network, Schlaggar, B. L., Pruett, J. R., & Piven, J.
Affiliations
  • University of North Carolina at Chapel Hill (US)
  • Washington University in St. Louis (US)
  • University of Minnesota (US)
  • University of Alberta (CA)
  • University of Washington (US)
  • Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
  • Montreal Neurological Institute and Hospital (CA)
  • New York University (US)
  • Children's Hospital of Philadelphia (US)
Corresponding author
  • Emerson, Robert W.
  • Adams, Chloe
  • Nishino, Tomoyuki
  • Pruett, John R.
  • Piven, Joseph
Venue
Science Translational Medicine
Published
2017-06-07
Volume
9
Issue
393
ISSN
  • 1946-6234 (ISSN-L)
  • 1946-6242
OpenAlex
W2623800443
Cited by
359
References
56
Citations by year
2026: 27 · 2025: 31 · 2024: 34 · 2023: 36 · 2022: 43 · 2021: 52 · 2020: 48 · 2019: 39 · 2018: 41 · 2017: 7 · 2014: 1
FWCI
21.18
Type
journal article
Language
en
Open access
Locations
  • Science Translational Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
  • UNC Libraries
Funders
National Institute of Child Health and Human Development (award278991, R01-MH093510 ,R01-HD055741 ,T32-HD40127, award302611, U54-HD079124)
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, infant brain development, functional connectivity, familial risk, early diagnosis, social behavior, language development, motor development, repetitive behavior, machine learning prediction, early intervention
MeSH terms
Autistic Disorder, Behavior, Child, Preschool, Female, Humans, Infant, Magnetic Resonance Imaging, Male, Nerve Net, Risk Factors, Functional Neuroimaging

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