Detecting changes in the covariance structure of functional time series with application to fMRI data

  title={Detecting changes in the covariance structure of functional time series with application to fMRI data},
  author={Christina Stoehr and J. Aston and Claudia Kirch},
  journal={arXiv: Applications},
  • Christina Stoehr, J. Aston, Claudia Kirch
  • Published 2019
  • Computer Science, Mathematics
  • arXiv: Applications
  • Functional magnetic resonance imaging (fMRI) data provides information concerning activity in the brain and in particular the interactions between brain regions. Resting state fMRI data is widely used for inferring connectivities in the brain which are not due to external factors. As such analyzes strongly rely on stationarity, change point procedures can be applied in order to detect possible deviations from this crucial assumption. In this paper, we model fMRI data as functional time series… CONTINUE READING
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