Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 107, Issue 26, Pages 12017-12022Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1002431107
Keywords
functional MRI; functional connectivity; graph theory; resting state; stroke
Categories
Funding
- National Institutes of Health [MH63901, NS40813, F32 EY019618-01]
- Veterans Administration Research Service
- National Science Foundation [GRFP 2008069381]
Ask authors/readers for more resources
Neuroimaging studies of cognitive control have identified two distinct networks with dissociable resting state connectivity patterns. This study, in patients with heterogeneous damage to these networks, demonstrates network independence through a double dissociation of lesion location on two different measures of network integrity: functional correlations among network nodes and within-node graph theory network properties. The degree of network damage correlates with a decrease in functional connectivity within that network while sparing the nonlesioned network. Graph theory properties of intact nodes within the damaged network show evidence of dysfunction compared with the undamaged network. The effect of anatomical damage thus extends beyond the lesioned area, but remains within the bounds of the existing network connections. Together this evidence suggests that networks defined by their role in cognitive control processes exhibit independence in resting data.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available