Functional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age
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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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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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Experimental — accuracy not yet measuredMachine-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”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [201]
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Self-citationDear reviewers: Responses to common reviewer critiques about infant neuroimaging studies
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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
- ORCID
- Emerson, Robert W.
- Nishino, Tomoyuki
- Hazlett, Heather Cody
- Wolff, Jason J.
- Zwaigenbaum, Lonnie
- Constantino, John N.
- Shen, Mark D.
- Swanson, Meghan R.
- Elison, Jed T.
- Kandala, Sridhar
- Estes, Annette M.
- Botteron, Kelly N.
- Collins, Louis
- Dager, Stephen R.
- Evans, Alan C.
- Gerig, Guido
- Gu, Hongbin
- McKinstry, Robert C.
- Paterson, Sarah
- Schultz, Robert T.
- Styner, Martin
- Schlaggar, Bradley L.
- Pruett, John R.
- Piven, Joseph
- Venue
- Science Translational Medicine
- Published
- 2017-06-07
- Volume
- 9
- Issue
- 393
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- PMC
- PMC5819345
- 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
- green
- www.ncbi.nlm.nih.gov
- 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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