title: Prediction of individual brain maturity using fMRI.
abstract: Group functional connectivity magnetic resonance imaging (fcMRI) studies have documented reliable changes in human functional brain maturity over development. Here we show that support vector machine-based multivariate pattern analysis extracts sufficient information from fcMRI data to make accurate predictions about individuals' brain maturity across development. The use of only 5 minutes of resting-state fcMRI data from 238 scans of typically developing volunteers (ages 7 to 30 years) allowed prediction of individual brain maturity as a functional connectivity maturation index. The resultant functional maturation curve accounted for 55% of the sample variance and followed a nonlinear asymptotic growth curve shape. The greatest relative contribution to predicting individual brain maturity was made by the weakening of short-range functional connections between the adult brain's major functional networks.
authors.affiliation: Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA. ndosenbach@wustl.edu
authors.forename: Nico U F
authors.initials: NU
authors.lastname: Dosenbach
authors.forename: Binyam
authors.initials: B
authors.lastname: Nardos
authors.forename: Alexander L
authors.initials: AL
authors.lastname: Cohen
authors.forename: Damien A
authors.initials: DA
authors.lastname: Fair
authors.forename: Jonathan D
authors.initials: JD
authors.lastname: Power
authors.forename: Jessica A
authors.initials: JA
authors.lastname: Church
authors.forename: Steven M
authors.initials: SM
authors.lastname: Nelson
authors.forename: Gagan S
authors.initials: GS
authors.lastname: Wig
authors.forename: Alecia C
authors.initials: AC
authors.lastname: Vogel
authors.forename: Christina N
authors.initials: CN
authors.lastname: Lessov-Schlaggar
authors.forename: Kelly Anne
authors.initials: KA
authors.lastname: Barnes
authors.forename: Joseph W
authors.initials: JW
authors.lastname: Dubis
authors.forename: Eric
authors.initials: E
authors.lastname: Feczko
authors.forename: Rebecca S
authors.initials: RS
authors.lastname: Coalson
authors.forename: John R
authors.initials: JR
authors.lastname: Pruett
authors.forename: Deanna M
authors.initials: DM
authors.lastname: Barch
authors.forename: Steven E
authors.initials: SE
authors.lastname: Petersen
authors.forename: Bradley L
authors.initials: BL
authors.lastname: Schlaggar
mesh_terms: D000293:Adolescent; D000328:Adult; D000375:Aging; D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000254:growth & development* / Q000502:physiology*; D001931:Brain Mapping; D002531:Cerebellum / Q000254:growth & development / Q000502:physiology; D002648:Child; D005260:Female; D005625:Frontal Lobe / Q000254:growth & development / Q000502:physiology; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D015999:Multivariate Analysis; D009434:Neural Pathways; D009778:Occipital Lobe / Q000254:growth & development / Q000502:physiology; D055815:Young Adult