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. 2010 Sep 10;329(5997):1358-61.
doi: 10.1126/science.1194144.

Prediction of individual brain maturity using fMRI

Nico U F Dosenbach  1 , Binyam Nardos, Alexander L Cohen, Damien A Fair, Jonathan D Power, Jessica A Church, Steven M Nelson, Gagan S Wig, Alecia C Vogel, Christina N Lessov-Schlaggar, Kelly Anne Barnes, Joseph W Dubis, Eric Feczko, Rebecca S Coalson, John R Pruett Jr, Deanna M Barch, Steven E Petersen, Bradley L Schlaggar
Affiliations

Prediction of individual brain maturity using fMRI

Nico U F Dosenbach et al. Science. .

Erratum in

  • Science. 2010 Nov 5;330(6005):756

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.

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Figures

Fig. 1
Fig. 1
Functional brain maturation curve. Individual functional brain maturity levels of 238 rs-fcMRI scans (115 females) between the ages of 7 to 30 years. Chronological age is shown on the x axis and the fcMI on the y axis (females pink, males blue). The fit for the Von Bertalanffy’s equation [a·(1 − e−bx), r2 = 0.553, permutation test, P < 0.001, AIC weight = 0.3] is shown with a solid black line. The fit for the Pearl-Reed equation [a/(1 + b· e−cx), r2 = 0.555, AIC weight = 0.23] is shown with a solid gray line. The 95% prediction limits are shown with dashed lines.
Fig. 2
Fig. 2
fcMVPA connection and region weights. The functional connections driving the SVR brain maturity predictor are displayed on a surface rendering of the brain. The thicknesses of the 156 consensus functional connections scale with their weights. Connections positively correlated with age are shown in orange, whereas connections negatively correlated with age are shown in light green. Also displayed are the 160 ROIs scaled by their weights (1/2 sum of the weights of all the connections to and from that ROI). The ROIs are color-coded according to the adult rs-fcMRI networks (cingulo-opercular, black; frontoparietal, yellow; default, red; sensorimotor, cyan; occipital, green; and cerebellum, dark blue).
Fig. 3
Fig. 3
SVR brain maturity weights by adult rs-fcMRI networks. The sums of all the functional connection weights within each network are shown to the left of the vertical black line. The sums of all the functional connection weights between networks are shown to the right.
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References

    1. Poldrack RA, Halchenko YO, Hanson SJ. Psychol Sci. 2009;20:1364. - PMC - PubMed
    1. Johnson MH. Nat Rev Neurosci. 2001;2:475. - PubMed
    1. Paus T, Keshavan M, Giedd JN. Nat Rev Neurosci. 2008;9:947. - PMC - PubMed
    1. Bunge SA, Dudukovic NM, Thomason ME, Vaidya CJ, Gabrieli JDE. Neuron. 2002;33:301. - PMC - PubMed
    1. Schlaggar BL, et al. Science. 2002;296:1476. - PubMed

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