[FieldTrip] Extracting spectral power for intervals within a trial

[Es, M.W.J. van (Mats)]

Hi John,

It isn’t completely clear to me what your question is. Which part of your intended analysis are you struggling with to implement? Are you stuck with the first step (i.e. loading in the data and defining trials based on event triggers)? If that is the case, I recommend you take a look here: http://www.fieldtriptoolbox.org/example/making_your_own_trialfun_for_conditional_trial_definition/ and on FieldTrip’s tutorial page (http://www.fieldtriptoolbox.org/tutorial/), for example “Preprocessing – Trigger based trial selection”. The tutorial page will be helpful in general, especially for FT beginners.

Best of luck,
Mats

PhD candidate

Dynamic Connectivity

Donders Institute for Brain,
Cognition and Behaviour

e:

m.vanes at donders.ru.nl<mailto:m.vanes at donders.ru.nl>

a:

Kapittelweg 29, 6525 EN Nijmegen


p:

+31(0)24 36 68291





From: Johnson, John T. <john.johnson at gatech.edu>
Sent: donderdag 1 augustus 2019 16:21
To: fieldtrip at science.ru.nl
Subject: [FieldTrip] Extracting spectral power for intervals within a trial

My EEG experiment has people rest, then perform 6 movements, then rest again, etc.
I would like to perform spectral power analysis on portions of those 6 movements baselined to the rest period before the trail. That is, the entire trial is baselined to its own rest period, then spectral power for different electrode montages (e.g. IPL, SPL, etc.) for each interval is extracted, meaned per trial, then stats run between the first 15 trials and the last 15 trials, which are performed under different conditions.

I have event markers for the different movement phases in my eeg data derived from kinematics data. The task is self-paced, so the intervals vary, but as I said, I have markers for the beginning and ending of the times of interest within the trials.

I’m new to FieldTrip and I am coming from the EEGLAB world. I have data previously cleaned and ICAed there, but I’m not adverse to redoing anything needed.

Future directions: source localization using MNI templates, and CoSMoMVPA to find patterns I’m not aware of.

Thanks so much for any advice or pointers to references.

—
John T. Johnson
PhD Candidate, School of Applied Physiology
GTA, Neuroscience Methods
he/him/his
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