MRI techniques can measure changes in microstructural properties of white matter

Described in Brain Connectivity journal

Innovative magnetic resonance imaging (MRI) techniques that can measure changes in the microstructure of the white matter likely to affect brain function and the ability of different regions of the brain to communicate are presented in an article in the groundbreaking new neuroscience journal Brain Connectivity, a bimonthly peer-reviewed publication from Mary Ann Liebert, Inc.. The article is available free online at www.liebertpub.com/brain

Brain function depends on the ability of different brain regions to communicate through signaling networks that travel along white matter tracts. Using different types and amounts of tissue staining to measure how water molecules interact with the surrounding brain tissue, researchers can quantify changes in the density, orientation, and organization of white matter. They can then use this information to generate image maps of these signaling networks, a method called tractography.

Andrew Alexander and colleagues from University of Wisconsin, Madison, describe three quantitative MRI (qMRI) techniques that are enabling the characterization of the microstructural properties of white matter: diffusion MRI, magnetization transfer imaging, and relaxometry. This approach can be used to study and compare the properties of brain tissue across populations and to shed light on mechanisms underlying aging, disease, and gender differences in brain function, for example. The authors present their findings in the article "Characterization of Cerebral White Matter Properties Using Quantitative Magnetic Resonance Imaging Stains."

"White matter is the material that provides for the wiring and connectivity between brain regions. This exciting paper describes three new methodologies to measure the integrity of white matter in normal and diseased brain. These methods show promise in multiple sclerosis, depression, aging, and human development," says Bharat Biswal, PhD, Co-Editor-in-Chief of Brain Connectivity and Associate Professor, University of Medicine and Dentistry of New Jersey.

Source: Mary Ann Liebert, Inc./Genetic Engineering News