Prediction of Individual Brain Maturity Using fMRI

Author:

Dosenbach Nico U. F.1,Nardos Binyam1,Cohen Alexander L.1,Fair Damien A.2,Power Jonathan D.1,Church Jessica A.1,Nelson Steven M.13,Wig Gagan S.145,Vogel Alecia C.1,Lessov-Schlaggar Christina N.6,Barnes Kelly Anne1,Dubis Joseph W.1,Feczko Eric6,Coalson Rebecca S.17,Pruett John R.6,Barch Deanna M.367,Petersen Steven E.1378,Schlaggar Bradley L.1789

Affiliation:

1. Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.

2. Department of Psychiatry, Oregon Health and Science University, Portland, OR 97239, USA.

3. Department of Psychology, Washington University, St. Louis, MO 63130, USA.

4. Department of Psychology, Harvard University, Cambridge, MA 02138, USA.

5. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.

6. Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.

7. Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.

8. Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA.

9. Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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