[Mne_analysis] identifying insensitive sensor time series for rejection
Talitha Ford
tcford at swin.edu.au
Fri Jul 29 02:58:37 EDT 2016
Hi Eric,
Thanks, I and my colleagues have had a good look through them and none seem to do what we need. The closest is http://mne-tools.github.io/stable/auto_tutorials/plot_stats_cluster_1samp_test_time_frequency.html though it looks at the TF. I have calculated the t stat for each time point from the evoked (with the standard deviations of the averaged evoked data) and plotted it on the time series which gives me a pretty good idea. Perhaps the request is a little specific to my data, although I would be happy to share what I have come up with.
Thank you anyway!
Best,
Talitha
On 29 Jul 2016, at 12:55, Eric Larson <larson.eric.d at gmail.com<mailto:larson.eric.d at gmail.com>> wrote:
is there a function/s to test whether a section of the averaged deviant time series from one channel (MEG1621 from 10oms to 200ms) is significantly greater than zero? The data is baseline corrected, so I presume against zero would be the correct comparison.
Can you take a look at the statistics examples and tutorials on the website to see if any of them cover your use case? If not, we should probably add one.
Also, I just wanted to let you know that subtracting one average() from another results in the average of the two rather than one minus the other. For example: dev_ave - stand_ave = (dev_ave - stand_ave)/2. I’m not sure if this is intentional, or an error in the code for average()?
This has come up multiple times before, so we are actually planning to change this behavior in the next MNE-Python release (0.13):
https://github.com/mne-tools/mne-python/pull/3400
For now, you can use `mne.combine_evoked` (with weights=[1, -1]) to get the plain subtraction you want.
Eric
_______________________________________________
Mne_analysis mailing list
Mne_analysis at nmr.mgh.harvard.edu<mailto:Mne_analysis at nmr.mgh.harvard.edu>
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you in error
but does not contain patient information, please contact the sender and properly
dispose of the e-mail.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20160729/aeca12f5/attachment.html
More information about the Mne_analysis
mailing list