[FieldTrip] eLORETA source analysis
Schoffelen, J.M. (Jan Mathijs)
jan.schoffelen at donders.ru.nl
Thu Sep 24 09:11:41 CEST 2020
Hi Tibor,
Some of this is discussed (and fixed, there were some small issues in the code) in https://github.com/fieldtrip/fieldtrip/issues/1454 and the PR that is linked in the linked issue.
Note: if you want to go from sensor-level to source-level data in the frequency domain, you should either use ‘powandcsd’, or ‘fourier’ as cfg.output argument to ft_freqanalysis.
Best wishes,
Jan-Mathijs
On 23 Sep 2020, at 13:42, tibor.auer at gmail.com<mailto:tibor.auer at gmail.com> wrote:
Dear Community,
I would like to perform an eLORETA source analysis, however, I am unsure about the steps.
I am working on the LEMON data<http://fcon_1000.projects.nitrc.org/indi/retro/MPI_LEMON.html> including 62-channel EEG experiment at rest and structural (T1-weighted) MRI of >200 participants.
I have preprocessed the EEG data and performed timefrequency analysis on the 2-second-long epochs with configuration:
* method: 'mtmfft'
* taper: 'hanning'
* foi: [0.9766 1.9531 3.9062 5.8594 7.8125 12.2070 15.1367 20.0195 24.9023 32.2266 40.0391 60.0586 69.8242 80.0781 95.2148 109.8633 120.1172]
* pad: 2.0480
* output: 'pow'
* keeptrials: 'no'
* trials: [233×1 double]
I have also processed the MRI images and normalised-segmented them using SPM12’s unified segmentation outside FieldTrip.
I would appreciate any help including code snippets, pointers to (order of) functions or specific and detailed tutorials.
Kind regards,
Tibor
Auer, Tibor M.D. Ph.D.
Research Fellow
School of Psychology, Faculty of Health and Medical Sciences
University of Surrey, Guildford GU2 7XH
@TiborAuer<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftwitter.com%2FTiborAuer&data=02%7C01%7Ct.auer%40surrey.ac.uk%7Cdb32da458c424eedef2908d7d4bd1421%7C6b902693107440aa9e21d89446a2ebb5%7C0%7C0%7C637211780868086968&sdata=zrT5%2FnGGsar14C3WartuU99tzsfLu30Peh9fuaqrAUg%3D&reserved=0>
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