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

@article{Stoehr2019DetectingCI,
  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},
  year={2019}
}
  • 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
    8 Citations
    Pivotal tests for relevant differences in the second order dynamics of functional time series
    Detecting relevant differences in the covariance operators of functional time series -- a sup-norm approach
    Bootstrapping covariance operators of functional time series
    • 3
    • PDF
    Consistency of Binary Segmentation For Multiple Change-Points Estimation With Functional Data.
    • 1
    • PDF
    Real Time Anomaly Detection And Categorisation
    • 2
    • PDF
    A review on minimax rates in change point detection and localisation

    References

    SHOWING 1-10 OF 40 REFERENCES
    Evaluating stationarity via change-point alternatives with applications to fMRI data
    • 68
    • PDF
    Modeling state-related fMRI activity using change-point theory
    • 92
    • PDF
    Dynamic connectivity regression: Determining state-related changes in brain connectivity
    • 210
    • PDF
    Detecting functional connectivity change points for single-subject fMRI data
    • 85
    • PDF
    Time–frequency dynamics of resting-state brain connectivity measured with fMRI
    • 1,199
    • PDF
    Tracking whole-brain connectivity dynamics in the resting state.
    • 1,486
    • PDF
    Dynamic effective connectivity in resting state fMRI
    • 44
    • PDF
    Elimination of k-space spikes in fMRI data.
    • 16
    • PDF