MARKOV SPATIAL FLOWS IN BOLD FMRI: A NOVEL LENS ON THE BOLD SIGNAL APPLIED TO AN IMAGING STUDY OF SCHIZOPHRENIA

被引:0
|
作者
Miller, Robyn L. [1 ]
Vergara, Victor M. [1 ]
Calhoun, Vince D. [1 ]
机构
[1] Triinst Ctr Translat Res Neuroimaging & Data Sci, Atlanta, GA 30303 USA
来源
2024 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION, SSIAI | 2024年
关键词
D O I
10.1109/SSIAI59505.2024.10508684
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
While the analysis of temporal signal fluctuations and co-fluctuations has long been a fixture of blood oxygenation-level dependent (BOLD) functional magnetic resonance imaging (fMRI) research, the role and implications of spatial propagation within the 4D neurovascular BOLD signal has been almost entirely neglected. As part of a larger research program aimed at capturing and analyzing spatially propagative dynamics in BOLD fMRI, we report here a method that exposes large-scale functional attractors of flow processes defined via Markov processes defined at the voxel level. The brainwide stationary distributions of these voxel-level Markov processes represent patterns of signal accumulation toward which the brain exerts a probabilistic propagative undertow. These probabilistic propagative attractors are spatially structured and organized interpretably over functional regions. They also differ significantly between schizophrenia patients and healthy controls.
引用
收藏
页码:13 / 16
页数:4
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