On Clustering fMRI Time Series

@article{Goutte1999OnCF,
  title={On Clustering fMRI Time Series},
  author={Cyril Goutte and P. Toft and E. Rostrup and F. Nielsen and L. Hansen},
  journal={NeuroImage},
  year={1999},
  volume={9},
  pages={298-310}
}
  • Cyril Goutte, P. Toft, +2 authors L. Hansen
  • Published 1999
  • Mathematics, Medicine
  • NeuroImage
  • Analysis of fMRI time series is often performed by extracting one or more parameters for the individual voxels. Methods based, e.g., on various statistical tests are then used to yield parameters corresponding to probability of activation or activation strength. However, these methods do not indicate whether sets of voxels are activated in a similar way or in different ways. Typically, delays between two activated signals are not identified. In this article, we use clustering methods to detect… CONTINUE READING
    481 Citations

    Figures and Topics from this paper

    Explore Further: Topics Discussed in This Paper

    Extracting activated regions of fMRI data using unsupervised learning
    • 5
    • PDF
    Spatiotemporal clustering of fMRI time series in the spectral domain
    • 29
    • PDF
    Feature‐space clustering for fMRI meta‐analysis
    • 127
    Feature Space Clustering for Fmri Meta-analysis Feature-space Clustering
    A Spectral Clustering Approach to fMRI Activation Detection
    • L. Shi, P. Heng, T. Wong
    • Mathematics, Medicine
    • 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
    • 2005
    • 7
    Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data
    • 52
    • PDF
    Neural networks approach to clustering of activity in fMRI data
    • 23
    Estimation and classification of fMRI hemodynamic response patterns
    • 29

    References

    SHOWING 1-10 OF 58 REFERENCES
    Analysis of fMRI Time-Series Revisited
    • 2,569
    • Highly Influential
    Processing strategies for time‐course data sets in functional mri of the human brain
    • 1,776
    Analysis of fMRI Time-Series Revisited—Again
    • 2,032
    • PDF
    Assessment and optimization of functional MRI analyses
    • 96
    Fuzzy clustering of gradient‐echo functional MRI in the human visual cortex. Part II: Quantification
    • 114
    Pattern Recognition and Neural Networks
    • 2,765
    • Highly Influential