On co-activation pattern analysis and non-stationarity of resting brain activity

Teppei Matsui, Trung Quang Pham, Koji Jimura, Junichi Chikazoe

研究成果: Article査読

9 被引用数 (Scopus)


The non-stationarity of resting-state brain activity has received increasing attention in recent years. Functional connectivity (FC) analysis with short sliding windows and coactivation pattern (CAP) analysis are two widely used methods for assessing the dynamic characteristics of brain activity observed with functional magnetic resonance imaging (fMRI). However, the statistical nature of the dynamics captured by these techniques needs to be verified. In this study, we found that the results of CAP analysis were similar for real fMRI data and simulated stationary data with matching covariance structures and spectral contents. We also found that, for both the real and simulated data, CAPs were clustered into spatially heterogeneous modules. Moreover, for each of the modules in the real data, a spatially similar module was found in the simulated data. The present results suggest that care needs to be taken when interpreting observations drawn from CAP analysis as it does not necessarily reflect non-stationarity or a mixture of states in resting brain activity.

出版ステータスPublished - 2022 4月 1

ASJC Scopus subject areas

  • 神経学
  • 認知神経科学


「On co-activation pattern analysis and non-stationarity of resting brain activity」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。