Title
CHARACTERIZATION OF SPATIAL DYNAMICS OF FMRI DATA IN WHITE MATTER USING DIFFUSION-INFORMED WHITE MATTER HARMONICS
Abstract
In this work, we leverage the Laplacian eigenbasis of voxel-wise white matter (WM) graphs derived from diffusion-weighted MRI data, dubbed WM harmonics, to characterize the spatial structure of WM fMRI data. Our motivation for such a characterization is based on studies that show WM fMRI data exhibit a spatial correlational anisotropy that coincides with underlying fiber patterns. By quantifying the energy content of WM fMRI data associated with subsets of WM harmonics across multiple spectral bands, we show that the data exhibits notable subtle spatial modulations under functional load that are not manifested during rest. WM harmonics provide a novel means to study the spatial dynamics of WM fMRI data, in such way that the analysis is informed by the underlying anatomical structure.
Year
DOI
Venue
2021
10.1109/ISBI48211.2021.9433958
2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
Keywords
DocType
Volume
white matter, functional MRI, diffusion MRI, graph signal processing
Conference
2021
ISSN
Citations 
PageRank 
1945-7928
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Hamid Behjat100.68
Iman Aganj219518.93
David Abramian300.34
Anders Eklund400.34
Carl-Fredrik Westin500.68