Accurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data
Open accessAbstract
Human large-scale functional brain networks are hypothesized to undergo significant changes over development. Little is known about these functional architectural changes, particularly during the second half of the first year of life. We used multivariate pattern classification of resting-state functional connectivity magnetic resonance imaging (fcMRI) data obtained in an on-going, multi-site, longitudinal study of brain and behavioral development to explore whether fcMRI data contained information sufficient to classify infant age. Analyses carefully account for the effects of fcMRI motion artifact. Support vector machines (SVMs) classified 6 versus 12 month-old infants (128 datasets) above chance based on fcMRI data alone. Results demonstrate significant changes in measures of brain functional organization that coincide with a special period of dramatic change in infant motor, cognitive, and social development. Explorations of the most different correlations used for SVM lead to two different interpretations about functional connections that support 6 versus 12-month age categorization.
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The ROIs used in the current study are well defined and have been used in the literature in typical and autism-related studies.
“The ROIs used in the current study are well defined and have been used in the literature in typical and autism-related studies (Pruett et al. 2015), and offer a foundation for the current analysis.”
From Joint attention and brain functional connectivity in infants and toddlers (2017) · cites this paper as Pruett et al. 2015
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References 64 · Cited by 57
- Authors
- Pruett, J. R., Kandala, S., Hoertel, S., Snyder, A. Z., Elison, J. T., Nishino, T., Feczko, E., Dosenbach, N. U. F., Nardos, B., Power, J. D., Adeyemo, B., Botteron, K. N., McKinstry, R. C., Evans, A. C., Hazlett, H. C., Dager, S. R., Paterson, S., Schultz, R. T., Collins, D. L., Fonov, V. S., Styner, M., Gerig, G., Das, S., Kostopoulos, P., Constantino, J. N., Estes, A. M., Petersen, S. E., Schlaggar, B. L., & Piven, J.
- Affiliations
- Washington University in St. Louis (US)
- University of Minnesota (US)
- Emory University (US)
- National Institutes of Health (US)
- Montreal Neurological Institute and Hospital (CA)
- University of North Carolina at Chapel Hill (US)
- University of Washington (US)
- Children's Hospital of Philadelphia (US)
- University of Utah (US)
- Corresponding author
- Pruett, John R.
- ORCID
- Pruett, John R.
- Kandala, Sridhar
- Snyder, Abraham Z.
- Elison, Jed T.
- Nishino, Tomoyuki
- Feczko, Eric
- Dosenbach, Nico U.F.
- Power, Jonathan D.
- Botteron, Kelly N.
- McKinstry, Robert C.
- Evans, Alan C.
- Hazlett, Heather C.
- Dager, Stephen R.
- Paterson, Sarah
- Schultz, Robert T.
- Collins, D. Louis
- Fonov, Vladimir S.
- Styner, Martin
- Gerig, Guido
- Das, Samir
- Constantino, John N.
- Estes, Annette M.
- Petersen, Steven E.
- Schlaggar, Bradley L.
- Piven, Joseph
- Venue
- Developmental Cognitive Neuroscience
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 12
- Pages
- 123-133
- ISSN
- 1878-9293 (ISSN-L)
- PMC
- PMC4385423
- OpenAlex
- W2038261889
- Cited by
- 57
- References
- 64
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 1 · 2023: 1 · 2022: 8 · 2021: 3 · 2020: 6 · 2019: 5 · 2018: 8 · 2017: 5 · 2016: 9 · 2015: 3
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Developmental Cognitive Neuroscience (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UNC Libraries
- Funders
- National Institutes of Health (UL1TR000448)
- McDonnell Center for Systems Neuroscience
- National Institute of Mental Health (R01MH093510)
- National Eye Institute (K12EY016336)
- National Institute of Neurological Disorders and Stroke (P30NS048056)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD086984, U54HD079124, U54HD083091, R01HD055741)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- resting-state functional connectivity, infant brain development, functional brain networks, multivariate pattern classification, support vector machine, motion correction, first year of life, brain functional organization
- MeSH terms
- Age Factors, Brain, Child Development Disorders, Pervasive, Female, Humans, Infant, Longitudinal Studies, Magnetic Resonance Imaging, Male, Risk Assessment
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