EEG error: datasets missing channels. It's strange because they were recorded well, and faulty files are quite as heavy as the good ones. Any ideas?

I do the data analysis in EEGLAB and want to do ICA to remove the artifact. As the EEG data is recorded in .bdf, so I have two questions:

1. There are no reference in the recorded data and when I import EEG data into EEGLAB, I had to chose one channel as the ref, this may cause the rank-deficient;

2. I had to deal with the bad channels before I do the ICA, but I find if I do the interpolation before ICA, the rank of the data also reduced (interpolate one channel make the rank-1).

As rank deficient will make mistake for ICA result, so does someone konw how to deal with these two problems? Thanks.

Dear all,

I'm not sure how to interpolate electrodes on my EEG epochs.

Using the already-made tool of eeglab, it requests me to declare the channels as non-data channels.

Where should I do this? I've already located the channels, but cannot find the way to define non-data channels.

Thanks in advance

I have some EEG data that I pre-processed (filtered, segmented, ICA etc) in Brain Vision Analyzer and would now like to import them into FieldTrip to use some of the connectivity functions. Is there any way I can do this? Or do I have to start from the beginning in FieldTrip and re-process all of the data? I couldn't find a way of doing this on the FieldTrip website so any advice would be much appreciated.

Dear All,

Received an honorary nomination and invitation to join Sigma Xi, The Scientific Research Honor Society as a full member. Should I join this society? Is it a legit platform?

Please share your thoughts on this,

Regards,

Mahbub

As a Masters Project I'll be working on analysis of EEG data. So I have EEG data which when loaded in Matlab shows 32*384*80. Can anyone explain what is channels, epochs in EEG data?

My pre-processed EEG data is being analyzed with a specialized statistics software, and some of it is being analyzed mixed altogether to better fit the model. I would very much like to visualize this data, even if it does not provide impactful meaning. I used a 32-channel montage but have selected 11 channels that are more relevant to my research questions. Is it possible to average the data from these 11 channels into one? If so, what transformations/solutions should I use and after/before what other transformations should I do it? What would be even better is if I were able to use Grand Averages for this task... but I realize this might be a stretch.

Thanks to anyone who can provide insights on this.

Hello, I am Saska Fatic, a Ph.D. student from the University of Belgrade. Currently, I'm starting with my first EEG recordings preprocessing. I have a 5 to 10 minutes long children's resting state recordings by 19 electrodes. By reading and watching tutorials I decided to use the following pipeline for prerocessing, and I need confirmation that it is right.

1 import data

2 tools > Reject artifacts by eye (because those are children recordings, there are very big portions of data that contains high muscles activity)

3 tools > filter the data > basic FIR filter > set the lower edge of the frequency passband to 1hz

4 tools > cleanline > set line noise frequencies to remove to 50hz

5 tools > channel location

6 tools > re-reference to average

7 tools> reject data using clean raw and ASR

8 tools > interpolate electrodes > use all channels from other datasets

9 tools > re-reference to average

10 run ICA and MARA

And one more question, when I interpolate electrodes

tools > interpolate electrodes > use all channels from other datasets

then it asks to enter the number. Is that a number of channels that was removed?

Thank you for your help!

Hi all,

I have this doubt that I could not solve by myself. I'm performing time-frequency analysis with EEGlab software for my master thesis and I'm not sure whether it is more correct to perform ICA and epoching in a precise order. I found some reccomendations in EEGLAB tutorial manual saying that it is advisable to perform ICA on a greater amount of data as possible. However, if I run ICA on EEGLAB before epoching, I cannot have a good visualisation of the ICA components (only the maps and components scroll). Instead, I have seen in a tutorial by Mike Cohen, that he performs epoching before ICA, so there is the possiblity to look at each component latency and frequency before rejecting. Personally, I found myself better with the second method, but I am not sure wheather it is correct or not.

I hope you can help me in this dilemma! Thank you!

Hi all,

I have used the G Power analysis to calculate the sample size for my study for independent sample T-Test. Unfortunately, I came across this concept through YouTube and other online manuals. Can you give me some legible papers that can be cited for this?

I have done this analysis to find the Independent Sample T-Test between Male and Female and how it impacts their Emotional Intelligence and Leadership Skills.

Thanks in advance!