Psychology & Neuroscience Asked by Krysta on June 21, 2021
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:
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.
Correct answer by jona on June 21, 2021
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
Answered by Patrick on June 21, 2021
For the sake of completeness:
eegkit, see https://cran.r-project.org/web/packages/eegkit/index.html
For "historical purposes" perhaps the following could also be of interest, although development seems somewhat stagnant lately: https://rdrr.io/cran/eegAnalysis/
Answered by Tiberius on June 21, 2021
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