help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH

Biophys. J. BioFAST: First Published August 12, 2005. doi:10.1529/biophysj.105.063016
© 2005 by the Biophysical Society.


A more recent version of this article appeared on November 1, 2005.
This Article
Right arrow Full Text (Rapid PDF)
Right arrow All Versions of this Article:
biophysj.105.063016v1
89/5/2927    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Sen, P. N
Right arrow Articles by Basser, P. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Sen, P. N
Right arrow Articles by Basser, P. J.

BIOPHYSICAL THEORY AND MODELING

A model for diffusion in white matter in the brain

Pabitra N Sen 1* and Peter J. Basser 2

1 Schlumberger-Doll Research
2 National Institutes of Health

* To whom correspondence should be addressed. E-mail: sen1{at}slb.com.

Submitted on March 23, 2005
Revised on April 4, 2005
Accepted on 25 July 2005


   Abstract
Diffusion of molecules in brain and other tissues is important in a wide range of biological processes and measurements ranging from the delivery of drugs to diffusion-weighted magnetic resonance imaging. Diffusion tensor imaging (DTI) is a powerful non-invasive method to characterize neuronal tissue in the human brain in vivo. As a first step towards understanding the relationship between the measured macroscopic apparent diffusion tensor (ADT) and underlying microscopic compartmental geometry and physical properties, we treat a white matter fascicle as an array of identical thick-walled cylindrical tubes arranged periodically in a regular lattice and immersed in an outer medium. Both square and hexagonal arrays are considered. The diffusing molecules may have different diffusion coefficients and concentrations (or densities) in different domains, namely within the tubes' inner core, membrane, myelin sheath, and within the outer medium. Analytical results are used to explore the effects of a large range of microstructural and compositional parameters on the ADT and the degree of diffusion anisotropy, allowing the characterization of diffusion in normal physiological conditions as well as changes occurring in development, disease, and aging. Implications for DTI and for the possible in situ estimation of microstructural parameters from diffusion weighted MR data are discussed in the context of this modelling framework.

Key Words: Brain, Diffusion tensor imaging, Tortuosity, white matter




This article has been cited by other articles:


Home page
Biophys. JHome page
S. Jin, Z. Zador, and A. S. Verkman
Random-Walk Model of Diffusion in Three Dimensions in Brain Extracellular Space: Comparison with Microfiberoptic Photobleaching Measurements
Biophys. J., August 15, 2008; 95(4): 1785 - 1794.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
R. F. Dougherty, M. Ben-Shachar, G. K. Deutsch, A. Hernandez, G. R. Fox, and B. A. Wandell
Temporal-callosal pathway diffusivity predicts phonological skills in children
PNAS, May 15, 2007; 104(20): 8556 - 8561.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 2005 by the Biophysical Society.