Integration of fMRI and probabilistic tractography for cerebral network analysis
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...
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creator | Parker, G.J.M. Haroon, H.A. Morris, D.M. Lambon-Ralph, M.A. Embleton, K.V. |
description | 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 |
doi_str_mv | 10.1109/ISBI.2006.1624927 |
format | Conference Proceeding |
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ispartof | 2006 3rd IEEE International Symposium on Biomedical Imaging--Macro to Nano : Arlington, WA, 6-9 April 2006, 2006, Vol.3, p.359-362 |
issn | 1945-7928 1945-8452 |
language | eng |
recordid | cdi_ieee_primary_1624927 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Biomedical engineering Biomedical imaging Data acquisition Data analysis High-resolution imaging Image analysis Magnetic resonance imaging Protocols Psychology Transmission line matrix methods |
title | Integration of fMRI and probabilistic tractography for cerebral network analysis |
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