학술논문

Spatial Dynamic Propagation of Network Activity in Resting fMRI Data
Document Type
Conference
Source
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2023 IEEE 20th International Symposium on. :1-4 Apr, 2023
Subject
Bioengineering
Computing and Processing
Photonics and Electrooptics
Signal Processing and Analysis
Correlation
Neural activity
Focusing
Functional magnetic resonance imaging
Windows
Complexity theory
Relays
Functional connectivity
Spatial Dynamics
Functional Propagation
Spatially Dynamic Propagation
Default Mode Network (DMN)
resting-state fMRI (rs-fMRI)
Schizophrenia
Language
ISSN
1945-8452
Abstract
Coherent neural activity spontaneously occurs, propagates and relays information across the brain. In resting-state functional magnetic resonance imaging (rsfMRI), there has been an active effort to uncover how spontaneous activity evolves across the brain. Temporal lags have been used to capture the relay of information and global propagation patterns in rsFMRI. However, rsfMRI studies have not evaluated propagating patterns at the network level, such as how network activity propagates across space over time. Here, we explored how the default mode network (DMN) activity propagates and whether there is a repertoire of different dynamic states. We used the time-lagged window correlation approach to observe the propagation within the dynamic states of the DMN. Results showed different propagation across dynamic states. Also, significant group effects were found compared to previous studies. This study is the first step to understanding how spatial dynamic states propagate throughout the brain.