Spatiotemporal analysis of event-related fMRI data using partial least squares.

@article{McIntosh2004SpatiotemporalAO,
  title={Spatiotemporal analysis of event-related fMRI data using partial least squares.},
  author={Anthony Randal McIntosh and Wing Keung Chau and Andrea B. Protzner},
  journal={NeuroImage},
  year={2004},
  volume={23 2},
  pages={764-75}
}
Partial least squares (PLS) has proven to be a important multivariate analytic tool for positron emission tomographic and, more recently, event-related potential (ERP) data. The application to ERP incorporates the ability to analyze space and time together, a feature that has obvious appeal for event-related functional magnetic resonance imaging (fMRI) data. This paper presents the extension of spatiotemporal PLS (ST-PLS) to fMRI, explaining the theoretical foundation and application to an fMRI… CONTINUE READING
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