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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
JoVE Journal
Medicine
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JoVE Journal Medicine
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
DOI:

14:27 min

June 26, 2013

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Chapters

  • 00:05Title
  • 03:06Data Collection and Preprocessing
  • 04:34Perform Multivariate SSM/PCA
  • 08:47Pattern Biomarker Derivation
  • 10:36Results: Identification of Disease-related Spatial Covariance Patterns
  • 13:08Conclusion

Summary

Automatic Translation

Multivariate techniques including principal component analysis (PCA) have been used to identify signature patterns of regional change in functional brain images. We have developed an algorithm to identify reproducible network biomarkers for the diagnosis of neurodegenerative disorders, assessment of disease progression, and objective evaluation of treatment effects in patient populations.

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