[FieldTrip] Time series of sources activation by using LCMV Beamformer
Pelt, S. van (Stan)
stan.vanpelt at donders.ru.nl
Mon Feb 29 14:47:24 CET 2016
Dear Antonietta,
In addition to the tutorial Vasan is referring to (where you can find the relevant information under the paragraph “Connectivity between MEG virtual channel and EMG”), there is also a dedicated tutorial for your question: http://www.fieldtriptoolbox.org/tutorial/shared/virtual_sensors
Best,
Stan
--
Stan van Pelt, PhD
Donders Institute for Brain, Cognition and Behaviour
Radboud University
Montessorilaan 3, B.01.34
6525 HR Nijmegen, the Netherlands
tel: +31 24 3616288
From: fieldtrip-bounces at science.ru.nl [mailto:fieldtrip-bounces at science.ru.nl] On Behalf Of Sreenivasan R. Nadar, Ph.D.
Sent: maandag 29 februari 2016 13:57
To: FieldTrip discussion list
Subject: Re: [FieldTrip] Time series of sources activation by using LCMV Beamformer
Hello Antonietta,
Please find the following link for extracting source time series:
http://www.fieldtriptoolbox.org/tutorial/connectivity
Vasan
On Mon, Feb 29, 2016 at 4:31 AM, Antonietta Sorriso <antonietta.sorriso at uniparthenope.it<mailto:antonietta.sorriso at uniparthenope.it>> wrote:
Hello,
I am using fieltrip in order to obtain source reconstruction from MEG data.
I succesfully implemented a code that exploit the function ft_sourceanalysis
for performing beamformer. Unfortunately I was not able to obtain the output
I need, i.e. the time series of sources activation. In particular I only was
able to achieve the mean activation value for each source, divided for
frequency bands or not, but I found no way for computing the activation
intensity of each source for each time sample. Is it possible to achieve
such goal via fieldtrip? If yes, which function and which input parameters
should I exploit?
Thanks and best regards
--
Antonietta Sorriso
Ph.D. Student
Dipartimento di Ingegneria
Laboratorio di TLC ed Elaborazione Segnali ed Immagini
Centro Direzionale di Napoli, Isola C4, Stanze 326-327, lato Sud, piano 3
80143, Napoli, Italia
e-mail: antonietta.sorriso at uniparthenope.it<mailto:antonietta.sorriso at uniparthenope.it>
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