Functional Integration Analyses- Eigenimages (nsi)

Functional Integration Analyses- Eigenimages (nsi)

• A Functional connectivity (covariance) matrix obtained from a time-series of images. is subject to Principal Component Analysis (PCA) or Singular Value Decomposition (SVD).
• The resulting eigenimages (principal components or spatial modes) each correspond to a spatial pattern comprising regions that are jointly implicated by virtue of their functional interactions. These regions represent temporal correlations between spatially remote neurophysiological events.
• Does not provide ability to make statistical inferences