Developmental Cognitive Neuroscience (Apr 2015)
Accurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data
- John R. Pruett, Jr.,
- Sridhar Kandala,
- Sarah Hoertel,
- Abraham Z. Snyder,
- Jed T. Elison,
- Tomoyuki Nishino,
- Eric Feczko,
- Nico U.F. Dosenbach,
- Binyam Nardos,
- Jonathan D. Power,
- Babatunde Adeyemo,
- Kelly N. Botteron,
- Robert C. McKinstry,
- Alan C. Evans,
- Heather C. Hazlett,
- Stephen R. Dager,
- Sarah Paterson,
- Robert T. Schultz,
- D. Louis Collins,
- Vladimir S. Fonov,
- Martin Styner,
- Guido Gerig,
- Samir Das,
- Penelope Kostopoulos,
- John N. Constantino,
- Annette M. Estes,
- Steven E. Petersen,
- Bradley L. Schlaggar,
- Joseph Piven
Affiliations
- John R. Pruett, Jr.
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Sridhar Kandala
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Sarah Hoertel
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Abraham Z. Snyder
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Jed T. Elison
- University of Minnesota, 51 East River Parkway, Minneapolis, MN 55455, United States
- Tomoyuki Nishino
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Eric Feczko
- Emory University, 201 Dowman Drive, Atlanta, GA 30322, United States
- Nico U.F. Dosenbach
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Binyam Nardos
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Jonathan D. Power
- National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD 20814, United States
- Babatunde Adeyemo
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Kelly N. Botteron
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Robert C. McKinstry
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Alan C. Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4
- Heather C. Hazlett
- University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States
- Stephen R. Dager
- University of Washington, Seattle, 1410 NE Campus Parkway, Seattle, WA 98195, United States
- Sarah Paterson
- Children's Hospital of Philadelphia and University of Pennsylvania, Civic Center Boulevard, Philadelphia, PA 19104, United States
- Robert T. Schultz
- Children's Hospital of Philadelphia and University of Pennsylvania, Civic Center Boulevard, Philadelphia, PA 19104, United States
- D. Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4
- Vladimir S. Fonov
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4
- Martin Styner
- University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States
- Guido Gerig
- University of Utah, Salt Lake City, 201 Presidents Circle, Salt Lake City, UT 84112, United States
- Samir Das
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4
- Penelope Kostopoulos
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4
- John N. Constantino
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Annette M. Estes
- University of Washington, Seattle, 1410 NE Campus Parkway, Seattle, WA 98195, United States
- Steven E. Petersen
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Bradley L. Schlaggar
- Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St. Louis, MO 63110, United States
- Joseph Piven
- University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States
- DOI
- https://doi.org/10.1016/j.dcn.2015.01.003
- Journal volume & issue
-
Vol. 12,
no. C
pp. 123 – 133
Abstract
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.
Keywords
- Functional connectivity magnetic resonance imaging (fcMRI)
- Infant
- Development
- Multivariate pattern analysis (MVPA)
- Support vector machine (SVM)
- Functional brain networks
