Subspace approaches for FMRI time series estimation

Annu Int Conf IEEE Eng Med Biol Soc. 2007:2007:5485-8. doi: 10.1109/IEMBS.2007.4353587.

Abstract

In this paper, we present a subspace approach for functional magnetic resonance imaging (fMRI) time series analysis. The signal subspace is formed of the eigenvectors of data correlation matrix. The approach is utilized both for single-trial estimation of blood oxygenation level dependent (BOLD) responses in fMRI time series and for studying the functional connectivity of BOLD responses from different spatial areas.

MeSH terms

  • Algorithms*
  • Brain / blood supply
  • Brain / physiology*
  • Brain Mapping / methods*
  • Cerebrovascular Circulation / physiology
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Magnetic Resonance Imaging / methods*
  • Models, Biological
  • Models, Statistical
  • Reproducibility of Results
  • Sensitivity and Specificity