Prediction of Individual Brain Maturity Using fMRI

被引：1622

作者：

Dosenbach, Nico U. F. ^{[1
]}

Nardos, Binyam ^{[1
]}

Cohen, Alexander L. ^{[1
]}

Fair, Damien A. ^{[2
]}

Power, Jonathan D. ^{[1
]}

Church, Jessica A. ^{[1
]}

Nelson, Steven M. ^{[1
,3
]}

Wig, Gagan S. ^{[1
,4
,5
]}

Vogel, Alecia C. ^{[1
]}

Lessov-Schlaggar, Christina N. ^{[6
]}

Barnes, Kelly Anne ^{[1
]}

Dubis, Joseph W. ^{[1
]}

Feczko, Eric ^{[6
]}

Coalson, Rebecca S. ^{[1
,7
]}

Pruett, John R., Jr. ^{[6
]}

Barch, Deanna M. ^{[3
,6
,7
]}

Petersen, Steven E. ^{[1
,3
,7
,8
]}

Schlaggar, Bradley L. ^{[1
,7
,8
,9
]}

机构：

[1] Washington Univ, Sch Med, Dept Neurol, St Louis, MO 63110 USA

[2] Oregon Hlth & Sci Univ, Dept Psychiat, Portland, OR 97239 USA

[3] Washington Univ, Dept Psychol, St Louis, MO 63130 USA

[4] Harvard Univ, Dept Psychol, Cambridge, MA 02138 USA

[5] Massachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA

[6] Washington Univ, Sch Med, Dept Psychiat, St Louis, MO 63110 USA

[7] Washington Univ, Sch Med, Dept Radiol, St Louis, MO 63110 USA

[8] Washington Univ, Sch Med, Dept Anat & Neurobiol, St Louis, MO 63110 USA

[9] Washington Univ, Sch Med, Dept Pediat, St Louis, MO 63110 USA

来源：

SCIENCE | 2010年 / 329卷 / 5997期

关键词：

RESTING HUMAN BRAIN; FUNCTIONAL CONNECTIVITY; COGNITIVE CONTROL; PATTERN-ANALYSIS; CHILDREN; CORTEX; REPRESENTATIONS; NETWORKS; ABILITY; HUMANS;

D O I：

10.1126/science.1194144

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：1358 / 1361

页数：4

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