Abstract | ||
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We present a data acquisition and analysis methodology for generating anatomical connectivity matrices using fMRI and diffusion MRI tractography. We describe a protocol for distortion-free, high spatial resolution diffusion MRI suitable for probabilistic tractography in the presence of complex fibre architecture and distortion-free, geometrically-matched fMRI. We then demonstrate that probabilistic tractography may be initiated from a set of functionally-defined regions to generate a matrix representation of the anatomical substrate of functional networks |
Year | DOI | Venue |
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2006 | 10.1109/ISBI.2006.1624927 | Arlington, VA |
Keywords | Field | DocType |
biomedical MRI,brain,data acquisition,image matching,image resolution,medical image processing,anatomical connectivity matrices,cerebral network analysis,complex fibre architecture,data acquisition,diffusion MRI tractography,distortion-free geometrically-matched fMRI,distortion-free high spatial resolution diffusion MRI,fMRI,probabilistic tractography | Computer vision,Diffusion MRI,Pattern recognition,Medical imaging,Computer science,Functional networks,Artificial intelligence,Network analysis,Probabilistic logic,Tractography,Matrix representation,Anatomical connectivity | Conference |
ISSN | ISBN | Citations |
1945-7928 | 0-7803-9576-X | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Geoffrey J. M. Parker | 1 | 444 | 39.62 |
Hamied A. Haroon | 2 | 16 | 1.54 |
David M. Morris | 3 | 30 | 2.11 |
Matthew A. Lambon Ralph | 4 | 245 | 31.34 |
Karl Embleton | 5 | 55 | 3.49 |
Lambon-Ralph, M.A. | 6 | 0 | 0.34 |