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

Prediction of individual brain maturity using fMRI.

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  • 1Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA. ndosenbach@wustl.edu

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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PMID:
20829489
[PubMed - indexed for MEDLINE]
PMCID:
PMC3135376
Free PMC Article

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