Published in
American Association for the Advancement of Science, Science, 5997(329), p. 1358-1361, 2010
Links
- ORCID
- American Association for the Advancement of Science
- [www.ncbi.nlm.nih.gov] | PDF
- [europepmc.org] | PDF
- [www.researchgate.net] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [ccpweb.wustl.edu] | PDF
- [citeseerx.ist.psu.edu] | PDF
Tools
Prediction of Individual Brain Maturity Using fMRI
,
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
and other authors.
Full text: Download
Abstract
Connectivity Map of the Brain The growing appreciation that clinically abnormal behaviors in children and adolescents may be influenced or perhaps even initiated by developmental miscues has stoked an interest in mapping normal human brain maturation. Several groups have documented changes in gray and white matter using structural and functional magnetic resonance imaging (fMRI) in cross-sectional and longitudinal studies. Dosenbach et al. (p. 1358 ) developed an index of resting-state functional connectivity (that is, how tightly neuronal activities in distinct brain regions are correlated while the subject is at rest or even asleep) from analyses of three independent data sets (each based on fMRI scans of 150 to 200 individuals from ages 6 to 35 years old). Long-range connections increased with age and short-range connections decreased, indicating that networks become sparser and sharper with brain maturation.