Meeting Banner
Abstract #4303

Spatial Entropy Mapping of the Connectome using White Matter Fibrography: Quantifying the Effects of Age.

Ryan McNaughton1, Hernan Jara1,2, Ning Hua2,3, Andy Ellison2,3, Osamu Sakai2, Lee Goldstein1,2,3, and Stephan Anderson2,3
1Boston University, Boston, MA, United States, 2Boston University Medical Center, Boston, MA, United States, 3Center for Translational Neuroimaging, Boston, MA, United States

Purpose: To develop algorithms for mapping the spatial entropy (SE); extending white matter fibrography (WMF) for quantifying whole-brain information content. Methods: SE algorithms were applied to WM texture images of four individuals of increasing age, optimized for maximum information content, and implemented to calculate the whole-brain WM complexity. Results: SE was positively correlated with subject age. Conclusion: SE is a promising quantitative metric for objectively distinguishing the state of WM architecture from fibrograms, particularly as it relates to age effects.

This abstract and the presentation materials are available to members only; a login is required.

Join Here