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Characterization of spatial dynamics of Fmri data in white matter using diffusion-informed white matter harmonics

Behjat, Hamid LU ; Aganj, Iman ; Abramian, David ; Eklund, Anders and Westin, Carl Fredrik (2021) 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021 In Proceedings - International Symposium on Biomedical Imaging 2021-April. p.1586-1590
Abstract

In this work, we leverage the Laplacian eigenbasis of voxelwise white matter (WM) graphs derived from diffusionweighted 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... (More)

In this work, we leverage the Laplacian eigenbasis of voxelwise white matter (WM) graphs derived from diffusionweighted 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.

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author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Diffusion MRI, Functional MRI, Graph signal processin, White matter
host publication
2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021
series title
Proceedings - International Symposium on Biomedical Imaging
volume
2021-April
article number
9433958
pages
5 pages
publisher
IEEE Computer Society
conference name
18th IEEE International Symposium on Biomedical Imaging, ISBI 2021
conference location
Nice, France
conference dates
2021-04-13 - 2021-04-16
external identifiers
  • scopus:85107219786
ISSN
1945-7928
1945-8452
ISBN
9781665412469
DOI
10.1109/ISBI48211.2021.9433958
language
English
LU publication?
yes
id
d0a79a90-6225-47d8-8800-9d94f560e624
date added to LUP
2021-06-24 12:25:06
date last changed
2024-06-15 12:56:29
@inproceedings{d0a79a90-6225-47d8-8800-9d94f560e624,
  abstract     = {{<p>In this work, we leverage the Laplacian eigenbasis of voxelwise white matter (WM) graphs derived from diffusionweighted 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. </p>}},
  author       = {{Behjat, Hamid and Aganj, Iman and Abramian, David and Eklund, Anders and Westin, Carl Fredrik}},
  booktitle    = {{2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021}},
  isbn         = {{9781665412469}},
  issn         = {{1945-7928}},
  keywords     = {{Diffusion MRI; Functional MRI; Graph signal processin; White matter}},
  language     = {{eng}},
  month        = {{04}},
  pages        = {{1586--1590}},
  publisher    = {{IEEE Computer Society}},
  series       = {{Proceedings - International Symposium on Biomedical Imaging}},
  title        = {{Characterization of spatial dynamics of Fmri data in white matter using diffusion-informed white matter harmonics}},
  url          = {{http://dx.doi.org/10.1109/ISBI48211.2021.9433958}},
  doi          = {{10.1109/ISBI48211.2021.9433958}},
  volume       = {{2021-April}},
  year         = {{2021}},
}