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A Survey of the Sources of Noise in fMRI

Author

Listed:
  • Douglas Greve
  • Gregory Brown
  • Bryon Mueller
  • Gary Glover
  • Thomas Liu

Abstract

Functional magnetic resonance imaging (fMRI) is a noninvasive method for measuring brain function by correlating temporal changes in local cerebral blood oxygenation with behavioral measures. fMRI is used to study individuals at single time points, across multiple time points (with or without intervention), as well as to examine the variation of brain function across normal and ill populations. fMRI may be collected at multiple sites and then pooled into a single analysis. This paper describes how fMRI data is analyzed at each of these levels and describes the noise sources introduced at each level. Copyright The Psychometric Society 2013

Suggested Citation

  • Douglas Greve & Gregory Brown & Bryon Mueller & Gary Glover & Thomas Liu, 2013. "A Survey of the Sources of Noise in fMRI," Psychometrika, Springer;The Psychometric Society, vol. 78(3), pages 396-416, July.
    • Handle: RePEc:spr:psycho:v:78:y:2013:i:3:p:396-416
    DOI: 10.1007/s11336-012-9294-0
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    References listed on IDEAS

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    1. Bärbel Maus & Gerard Breukelen & Rainer Goebel & Martijn Berger, 2010. "Optimization of Blocked Designs in fMRI Studies," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 373-390, June.
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    Cited by:

    1. Marijke Welvaert & Yves Rosseel, 2014. "A Review of fMRI Simulation Studies," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.

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