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Statistical Analysis of fMRI Data

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fMRI Techniques and Protocols

Part of the book series: Neuromethods ((NM,volume 119))

Abstract

fMRI is a powerful tool used in the study of brain function. It can noninvasively detect signal changes in areas of the brain where neuronal activity is varying. This chapter is a comprehensive description of the various steps in the statistical analysis of fMRI data. This will cover topics such as the general linear model (including orthogonality, hemodynamic variability, noise modeling, and the use of contrasts), multisubject statistics, and statistical thresholding (including random field theory and permutation methods).

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Notes

  1. 1.

    For the remainder of this chapter, reference to “stimulation” should be taken to include also the carrying out of physical or cognitive activity.

  2. 2.

    The particular HRF in Fig. 5 has parameter values μ 1 = 6 s, σ 1 = 2.45 s, μ 2 = 16 s, σ 2 = 4 s, and ρ = 6.

  3. 3.

    Note that this common usage is slightly different from the definition sometimes used in the statistics literature, where effect size means β divided by the noise level.

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Authors and Affiliations

  1. Oxford University Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), John Radcliffe Hospital, Oxford, OX3 9DU, UK

    Mark W. Woolrich, Christian F. Beckmann, Thomas E. Nichols & Stephen M. Smith

Authors
  1. Mark W. Woolrich
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  2. Christian F. Beckmann
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  3. Thomas E. Nichols
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  4. Stephen M. Smith
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Corresponding author

Correspondence to Mark W. Woolrich .

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Editors and Affiliations

  1. Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy

    Massimo Filippi

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Woolrich, M.W., Beckmann, C.F., Nichols, T.E., Smith, S.M. (2016). Statistical Analysis of fMRI Data. In: Filippi, M. (eds) fMRI Techniques and Protocols. Neuromethods, vol 119. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-5611-1_7

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  • DOI: https://doi.org/10.1007/978-1-4939-5611-1_7

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-5609-8

  • Online ISBN: 978-1-4939-5611-1

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