A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations

Yusuke Noro, Ruixiang Li, Teppei Matsui, Koji Jimura

Research output: Contribution to journalArticlepeer-review

Abstract

Resting-state (rs) fMRI has been widely used to examine brain-wide large-scale spatiotemporal architectures, known as resting-state networks (RSNs). Recent studies have focused on the temporally evolving characteristics of RSNs, but it is unclear what temporal characteristics are reflected in the networks. To address this issue, we devised a novel method for voxel-based visualization of spatiotemporal characteristics of rs-fMRI with a time scale of tens of seconds. We first extracted clusters of dominant activity-patterns using a region-of-interest approach and then used these temporal patterns of the clusters to obtain voxel-based activation patterns related to the clusters. We found that activation patterns related to the clusters temporally evolved with a characteristic temporal structure and showed mutual temporal alternations over minutes. The voxel-based representation allowed the decoding of activation patterns of the clusters in rs-fMRI using a meta-analysis of functional activations. The activation patterns of the clusters were correlated with behavioral measures. Taken together, our analysis highlights a novel approach to examine brain activity dynamics during rest.

Original languageEnglish
Article number960607
JournalFrontiers in Neuroinformatics
Volume16
DOIs
Publication statusPublished - Jan 12 2023

Keywords

  • Human Connectome Project
  • individual difference
  • resting-state fMRI
  • task fMRI
  • temporal dynamics

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Biomedical Engineering
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations'. Together they form a unique fingerprint.

Cite this