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Does Parametric fMRI Analysis with SPM Yield Valid Results? –
An Empirical Study of 1484 Rest Datasets

Camilla Josephson1*
  • 1 Linköping University, Economics, Sweden

‘Statistical Parametric Mapping’ SPM is one of the most popular software packages used for analyzing neuroimaging data in Neuroscience as well as in Neuroeconomics. Yet it has been debated for a long time if the assumptions that are required for standard parametric approaches to analyze neuroimaging data really are appropriate for functional magnetic resonance imaging (fMRI) data. It has also been debated how the problem of multiple testing should be solved. In 2010 when Bennett et. al. found significant brain activity in a dead salmon when using the SPM software, the debate escalated. Our research group analyzed 1484 rest datasets in SPM8 to estimate true family wise error rates (see Eklund et. al. Neuroimage, 2012). Results showed that for a family wise significance threshold of 5%, significant activity was found in 1% - 70% of the 1484 rest datasets, depending on repetition time, paradigm and parameter settings. This means that parametric significance thresholds in SPM can be both conservative and very liberal. The main reason for the high family wise error rates seems to be that the global AR(1) auto correlation correction in SPM fails to model the spectra of the residuals, especially for short repetition times. These findings speak to the need for a better model of temporal correlations in fMRI time series. This poster aims to start a discussion on pre-processing and analyzing neuroimaging data, repetition times and alternative models for temporal correlations.

Acknowledgements

Anders Eklunda,b,∗, Mats Anderssona,b, Camilla Josephsonb,c, Magnus Johannessonc,d, Hans Knutssona,b
aDivision of Medical Informatics, Department of Biomedical Engineering, Linko ̈ping University, Linko ̈ping, Sweden bCenter for Medical Image Science and Visualization (CMIV), Linko ̈ping University, Linko ̈ping, Sweden cDepartment of Management and Engineering, Linko ̈ping University, Linko ̈ping, Sweden dDepartment of Economics, Stockholm School of Economics, Stockholm, Sweden

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Keywords: functional magnetic resonance imaging (fMRI), Familywise error rate, random field theory, Non-parametric statistics, Random permutation test, Graphics processing unit (GPU)

Conference: ACNS-2012 Australasian Cognitive Neuroscience Conference, Brisbane, Australia, 29 Nov - 2 Dec, 2012.

Presentation Type: Poster Presentation

Topic: Other

Citation: Josephson C (2012). Does Parametric fMRI Analysis with SPM Yield Valid Results? –
An Empirical Study of 1484 Rest Datasets. Conference Abstract: ACNS-2012 Australasian Cognitive Neuroscience Conference. doi: 10.3389/conf.fnhum.2012.208.00054

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Received: 23 Sep 2012; Published Online: 07 Nov 2012.

* Correspondence: Dr. Camilla Josephson, Linköping University, Economics, Linköping, 581 83, Sweden, camilla.josephson@liu.se