This project investigates the capacity of a new method of magnetic resonance imaging diffusion spectrum imaging or DSI, to map complex white matter architecture and the neural connectivity in the human brain. This capacity may make it possible ultimately to define the wiring diagram of the brain noninvasively. Current methodology based on diffusion tensor magnetic resonance imaging (DTI) makes it possible to obtain maps that show at each location the mean orientation of white matter, and several research groups including our own, have devised methods to apply tracing procedures to these orientation fields to define the large-scale trajectories of neural pathways. This approach, however, suffers a serious and basic limitation, namely, its inability to describe more than a single orientation at each tissue location. Diffusion spectrum imaging methodology we have recently described overcomes this, providing for the first time an ability to resolve entire distributions white matter orientations at each image location. These maps provide direct descriptions of the interpretation and intersection of cerebral white matter tracts. Accordingly, this project will pursue 3 principal aims: i. To optimize diffusion spectrum imaging for in vivo imaging of cerebral white matter: ii. To validate diffusion spectrum imaging of complex white matter architecture ex vivo (by correlation with confocal microscopy) and in vivo (by correlation with axonal degeneration in patients.), and iii. To measure the accuracy of DSI computation of large scale white matter trajectories, by correlation with known neural pathways defined by functional magnetic resonance imaging (fMRI) in the human visual system.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH064044-04
Application #
6772631
Study Section
Diagnostic Radiology Study Section (RNM)
Program Officer
Huerta, Michael F
Project Start
2001-09-05
Project End
2006-06-30
Budget Start
2004-07-01
Budget End
2005-06-30
Support Year
4
Fiscal Year
2004
Total Cost
$437,960
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Wedeen, Van J; Rosene, Douglas L; Wang, Ruopeng et al. (2012) Response to comment on ""the geometric structure of the brain fiber pathways"". Science 337:1605
Wedeen, Van J; Rosene, Douglas L; Wang, Ruopeng et al. (2012) The geometric structure of the brain fiber pathways. Science 335:1628-34
Takahashi, Emi; Dai, Guangping; Rosen, Glenn D et al. (2011) Developing neocortex organization and connectivity in cats revealed by direct correlation of diffusion tractography and histology. Cereb Cortex 21:200-11
Takahashi, Emi; Dai, Guangping; Wang, Ruopeng et al. (2010) Development of cerebral fiber pathways in cats revealed by diffusion spectrum imaging. Neuroimage 49:1231-40
Sosnovik, David E; Wang, Ruopeng; Dai, Guangping et al. (2009) Diffusion spectrum MRI tractography reveals the presence of a complex network of residual myofibers in infarcted myocardium. Circ Cardiovasc Imaging 2:206-12
Sosnovik, David E; Wang, Ruopeng; Dai, Guangping et al. (2009) Diffusion MR tractography of the heart. J Cardiovasc Magn Reson 11:47
Reese, Timothy G; Benner, Thomas; Wang, Ruopeng et al. (2009) Halving imaging time of whole brain diffusion spectrum imaging and diffusion tractography using simultaneous image refocusing in EPI. J Magn Reson Imaging 29:517-22
Gilbert, Richard J; Gaige, Terry A; Wang, Ruopeng et al. (2008) Resolving the three-dimensional myoarchitecture of bovine esophageal wall with diffusion spectrum imaging and tractography. Cell Tissue Res 332:461-8
Wedeen, V J; Wang, R P; Schmahmann, J D et al. (2008) Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers. Neuroimage 41:1267-77
Jonasson, Lisa; Bresson, Xavier; Thiran, Jean-Philippe et al. (2007) Representing diffusion MRI in 5-D simplifies regularization and segmentation of white matter tracts. IEEE Trans Med Imaging 26:1547-54

Showing the most recent 10 out of 23 publications