Psychometrika

, Volume 78, Issue 3, pp 396–416

A Survey of the Sources of Noise in fMRI

  • Douglas N. Greve
  • Gregory G. Brown
  • Bryon A. Mueller
  • Gary Glover
  • Thomas T. Liu
  • Function Biomedical Research Network
Article

DOI: 10.1007/s11336-012-9294-0

Cite this article as:
Greve, D.N., Brown, G.G., Mueller, B.A. et al. Psychometrika (2013) 78: 396. doi:10.1007/s11336-012-9294-0

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.

Key words

functional MRI blood oxygen level dependent first-level analysis higher level analysis sources of noise 

Copyright information

© The Psychometric Society 2012

Authors and Affiliations

  • Douglas N. Greve
    • 1
  • Gregory G. Brown
    • 2
  • Bryon A. Mueller
    • 3
  • Gary Glover
    • 4
  • Thomas T. Liu
    • 5
  • Function Biomedical Research Network
  1. 1.Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General HospitalCharlestownUSA
  2. 2.VA San Diego Healthcare System and Department of PsychiatryUniversity of California San DiegoSan DiegoUSA
  3. 3.Department of PsychiatryUniversity of Minnesota Twin CitiesMinneapolisUSA
  4. 4.Department of RadiologyStanford UniversityStanfordUSA
  5. 5.Center for Functional MRIUniversity of California San DiegoSan DiegoUSA

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