A Multivariate Approach to Estimate Complexity of FMRI Time Series

@inproceedings{Schtze2012AMA,
  title={A Multivariate Approach to Estimate Complexity of FMRI Time Series},
  author={Henry Sch{\"u}tze and Thomas Martinetz and Silke Anders and Amir Madany Mamlouk},
  booktitle={ICANN},
  year={2012}
}
Modern functional brain imaging methods (e.g. functional magnetic resonance imaging, fMRI) produce large amounts of data. To adequately describe the underlying neural processes, data analysis methods are required that are capable to map changes of high-dimensional spatio-temporal patterns over time. In this paper, we introduce Multivariate Principal Subspace Entropy (MPSE), a multivariate entropy approach that estimates spatio-temporal complexity of fMRI time series. In a temporally sliding… CONTINUE READING
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