NYUALL DETAILED REPORT
This report shows significant functional network differences between ADHD and control for 178 (those passing QA out of a potential 216) of the NYU ADHD200 dataset. 10 subject subset of the NYU ADHD200 dataset.  The original goal was to look for overlaps between structural and functional deficits. For a review of structural deficits, see the NYU10 report. 

FUNCTIONAL NETWORKS Significant functional network differences between ADHD and Control derived with multi-session temporal concatenation group ICA analysis and dual regression.
FUNCTIONAL NETWORK DIFFERENCES: Includes top max voxel coordinates found to be significantly different between ADHD and Control with anatomical labels.
FUNCTIONAL NETWORK OVERVIEW: Includes summary of each component, and likely network or artifact
DUAL REGRESSION COMPLETE RESULTS: Includes dual regression maps with both positive activation overlays (ADHD>Control) and deactivations (Control>ADHD)
DUAL REGRESSION ABSOLUTE VALUE RESULTS: Includes dual regression maps derived from the absolute value of group network images

FUNCTIONAL NETWORKS
Jump to a component: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

COMPONENT 1


back to top

COMPONENT 2



back to top

COMPONENT 3



back to top

COMPONENT 4



back to top

COMPONENT 5



back to top

COMPONENT 6



back to top

COMPONENT 7



back to top

COMPONENT 8


back to top

COMPONENT 9



back to top

COMPONENT 10



back to top

COMPONENT 11



back to top

COMPONENT 12



back to top

COMPONENT 13



back to top

COMPONENT 14



back to top

COMPONENT 15



back to top

COMPONENT 16


back to top

COMPONENT 17



back to top

COMPONENT 18



back to top

COMPONENT 19



back to top

COMPONENT 20



back to top

COMPONENT 21



back to top

COMPONENT 22



back to top

COMPONENT 23



back to top

COMPONENT 24


back to top

COMPONENT 25



back to top