Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.10.28.359125v1?rss=1 Authors: Behjat, H., Aganj, I., Abramian, D., Eklund, A., Westin, C.-F. 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. 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. Copy rights belong to original authors. Visit the link for more info