Plurality and resemblance in fMRI data analysis

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Plurality and resemblance in fMRI data analysis
Authors: Nicholas Lange, Stephen C. Strother, Jon R. Anderson, Finn Årup Nielsen, Andrew P. Holmes, Thomas Kolenda, Robert L. Savoy, Lars Kai Hansen
Citation: NeuroImage 10 (3): 282-303. 1999 September
Database(s): Google Scholar cites PubMed (PMID/10458943)
DOI: 10.1006/nimg.1999.0472.
Link(s): http://spin.ecn.purdue.edu/fmri/PDFLibrary/LangeN_NI_1999_10_282_303.pdf
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Plurality and resemblance in fMRI data analysis reports a study on different functional magnetic resonance imaging analysis methods.

The methods were

  • Simple two-sample t-test
  • "standard" SPM analysis
  • Kolmogorov-Smirnov
  • Finite impulse response modeling
  • Parametric Fourier transform
  • Artificial neural network (classifier with saliency map)
  • Canonical variate
  • Independent component analysis
  • Functional data analysis
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