Sunday, February 10, 2013

where to start with MVPA?

I was recently asked for suggestions about starting with MVPA, so here are some ideas. This is certainly not an exhaustive list, feel free to submit others.


  • Pereira, F., Mitchell, T., Botvinick, M., 2009. Machine learning classifiers and fMRI: A tutorial overview. Neuroimage 45, S199-S209.
  • Etzel, J.A., Gazzola, V., Keysers, C., 2009. An introduction to anatomical ROI-based fMRI classification analysis. Brain Research 1282, 114-125.
  • Mur, M., Bandettini, P.A., Kriegeskorte, N., 2009. Revealing representational content with pattern-information fMRI--an introductory guide. Soc Cogn Affect Neurosci, nsn044.
  • Haynes JD. 2015. A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives. Neuron, 87 (2), 257-70. doi: 10.1016/j.neuron.2015.05.025 PMID: 26182413
  • Mitchell, T.M., Hutchinson, R., Niculescu, R.S., Pereira, F., Wang, X., 2004. Learning to Decode Cognitive States from Brain Images. Machine Learning 57, 145-175.
  • Norman, K.A., Polyn, S.M., Detre, G.J., Haxby, J.V., 2006. Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends In Cognitive Sciences 10, 424-430.


There are a few software packages specifically for MVPA, though many people (myself included) use quite a bit of their own code. A nice comparison of packages is towards the end of Hebart2015.


publicly-available fMRI datasets

other things

updated 15 October 2013: added a link to PRoNTO; added the workshops section
updated 16 January 2015: added the link to The Decoding Toolbox and Hebart 2015.
updated 4 February 2015: added the public datasets section.
updated 11 September 2015: changed the reference from Haynes 2006 to Haynes 2015.
updated 21 March 2017: added a link to CCN.
updated 25 September 2017: added BrainIAK

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