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I'm starting some EEG studies on attention, and would really like to use R for preprocessing (filtering/artifact rejection), visualization, and analysis, but I can find very little in the way of tools. If there isn't a standalone package, what packages might be useful?

Things I want to do:

  • Condition categorization according to events, and comparing all subsequent analyses by condition
  • Power spectral density in specific frequency bands (SMR, theta, beta, alpha, etc.)
  • Event-related potentials
  • LORETA (low-resolution electromagnetic tomography)
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  • $\begingroup$ Checkout the package listing:<br> <a href="cran.rstudio.com/">http://cran.rstudio.com/</a>. It might help people to help you, if you clarify what you are trying to accomplish with R and EEG data. $\endgroup$
    – Cbaker510
    Commented Sep 3, 2014 at 20:31
  • $\begingroup$ Why do you want to use R? $\endgroup$
    – jona
    Commented Sep 3, 2014 at 22:09
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    $\begingroup$ Because the documentation & community is better for R than Matlab, and because I don't have to worry about budget for licenses on R. $\endgroup$
    – Krysta
    Commented Sep 4, 2014 at 12:53

3 Answers 3

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Antoine Tremblay has just released an advanced analysis toolbox: http://onlinelibrary.wiley.com/doi/10.1111/psyp.12299/abstract

It's missing about half the features on your list, although fundamentally, spectral density is a simple task and LORETA is a stand-alone package anyways (although similar approaches, e.g. general CSD estimation, are implemented in many packages). Basically, once you got the EEG data read into R and cleaned of artifacts, ERPs (simple averaging) and spectra are fairly basic tasks and LORETA is an external toolbox agnostic of where it's getting its data from.

Alternatively, I would propose to use either one of the two standard MATLAB-based solutions (EEGLAB or Fieldtrip), or MNE in one of its iterations (e.g. the one in Python). All of these will handle the tasks you're talking about.

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  • $\begingroup$ Thanks! Any suggestions on visualization? Creating graph arrays for 24 channels of ERP or EEG can be very tedious, and I bet somebody's done it before. $\endgroup$
    – Krysta
    Commented Sep 4, 2014 at 12:52
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    $\begingroup$ Butterfly plots, as in fig. 2 in the paper; or means over ROIs and facet wrap ggplot over hemisphere and front/back. $\endgroup$
    – jona
    Commented Sep 4, 2014 at 14:41
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For the sake of completeness:

  1. eegkit, see https://cran.r-project.org/web/packages/eegkit/index.html

  2. For "historical purposes" perhaps the following could also be of interest, although development seems somewhat stagnant lately: https://rdrr.io/cran/eegAnalysis/

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I was searching for alternative when I fell on this post. Here are a few others

eegUtils , the same author has a blog that might be of interest to you for further reading here

I also found eegAnalysis but the last update was in 2014

Finally for ERPs there is erpR

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