Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 118, Issue 44, Pages -Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.2103104118
Keywords
fMRI; resting state; white matter; power spectra
Categories
Funding
- NIH [R01 NS093669, R01 NS113832]
- Vanderbilt Discovery Grant [FF600670]
- 16 NIH Institutes and Centers [1U54MH091657]
- McDonnell Center for Systems Neuroscience at Washington University [1U54MH091657]
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Heterogeneity of white matter signals was revealed through power spectral analysis, showing differences in local structural-vascular-functional associations.
Accurate characterization of the time courses of blood-oxygen-level-dependent (BOLD) signal changes is crucial for the analysis and interpretation of functional MRI data. While several studies have shown that white matter (WM) exhibits distinct BOLD responses evoked by tasks, there have been no comprehensive investigations into the time courses of spontaneous signal fluctuations in WM. We measured the power spectra of the resting-state time courses in a set of regions within WM identified as showing synchronous signals using independent components analysis. In each component, a clear separation between voxels into two categories was evident, based on their power spectra: one group exhibited a single peak, and the other had an additional peak at a higher frequency. Their groupings are location specific, and their distributions reflect unique neurovascular and anatomical configurations. Importantly, the two categories of voxels differed in their engagement in functional integration, revealed by differences in the number of interregional connections based on the two categories separately. Taken together, these findings suggest WM signals are heterogeneous in nature and depend on local structural-vascular-functional associations.
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