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Issue No. 05 - September/October (2003 vol. 5)
ISSN: 1521-9615
pp: 30-36
Ker-Chau Li , University of California, Los Angeles
Kerby Shedden , University of Michigan
<p>One method for characterizing spatiotemporal variation in brain activity levels is based onthe use of statistical dimension reduction. This reduction finds temporal components in data that best preserve the spatiotemporal regression structure. The method does this by suppressing more prominent waveforms that do not vary in a spatially predictable pattern.</p>
Ker-Chau Li, Kerby Shedden, "Dimension Reduction and Spatiotemporal Regression: Applications to Neuroimaging", Computing in Science & Engineering, vol. 5, no. , pp. 30-36, September/October 2003, doi:10.1109/MCISE.2003.1225858
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