TY - JOUR
T1 - The Teenage Brain
T2 - Functional Connectivity
AU - Dosenbach, Nico U.F.
AU - Petersen, Steven E.
AU - Schlaggar, Bradley L.
N1 - Funding Information:
Preparation of this article was in part supported by National Institutes of Health Grants R01HD057076 (B. L. S.), K02NS0534425 (B. L. S.), R21NS061144 (S. E. P.), and R01NS32979 (S. E. P.), and by a McDonnell Foundation Collaborative Action Award (S. E. P.). The project described was supported by Eunice Kennedy Shriver National Institute Of Child Health and Human Development Award No. P30HD062171. The content of this article is solely the responsibility of the authors and does not necessarily represent the official views of the Eunice Kennedy Shriver National Institute of Child Health and Human Development or the National Institutes of Health.
PY - 2013/4
Y1 - 2013/4
N2 - Distant brain regions are organized into large-scale functional networks specialized for specific cognitive processes. The brain's functional-network architecture and its development can be investigated using functional connectivity MRI (fcMRI), which measures correlations in spontaneous fluctuations of brain activity. fcMRI studies have provided important insights into typical brain organization and development, as well as insights into the atypical organization of the brain in neuropsychiatric disorders. fcMRI data can be easily collected and carry much information. Therefore, they are now being analyzed using powerful multivariate-pattern-analysis (MVPA) methods, with the goal of one day being able to diagnose disease states in individuals. However, great care must be taken during these analyses to eliminate confounds such as head movement.
AB - Distant brain regions are organized into large-scale functional networks specialized for specific cognitive processes. The brain's functional-network architecture and its development can be investigated using functional connectivity MRI (fcMRI), which measures correlations in spontaneous fluctuations of brain activity. fcMRI studies have provided important insights into typical brain organization and development, as well as insights into the atypical organization of the brain in neuropsychiatric disorders. fcMRI data can be easily collected and carry much information. Therefore, they are now being analyzed using powerful multivariate-pattern-analysis (MVPA) methods, with the goal of one day being able to diagnose disease states in individuals. However, great care must be taken during these analyses to eliminate confounds such as head movement.
KW - functional connectivity
KW - individual predictions
KW - movement effects
KW - multivariate pattern analysis
KW - resting state
KW - support vector machines
UR - https://www.scopus.com/pages/publications/84876262225
U2 - 10.1177/0963721412474297
DO - 10.1177/0963721412474297
M3 - Article
AN - SCOPUS:84876262225
SN - 0963-7214
VL - 22
SP - 101
EP - 107
JO - Current Directions in Psychological Science
JF - Current Directions in Psychological Science
IS - 2
ER -