Sep 11, 2010

Prediction of individual brain maturity using fMRI

Science
Nico U F DosenbachBradley L Schlaggar

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.

  • References36
  • Citations568

References

  • References36
  • Citations568

Citations

Mentioned in this Paper

Occipital Lobe
Magnetic Resonance Imaging
Brain
Biologic Development
Senility
Knowledge Representation (Computer)
Neural Pathways
FMRI
Multivariate Analysis
Structure of Broca's Area

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