Thank you again for your very helpful answer.
I have succeeded in parcellating my results using the Yeo et al. atlas, with
the *.dlabel.nii file provided with the parcellated HCP MEG data (107 nodes),
and with the wb_command -cifti-parcellate line code.
However, I have troubles to find equivalent *.dlabel.nii files for other
parcellations scheme, like for the example the Desikan-Killiany atlas. Could
you help me? Also, should I just use the ft_resampledata Fieldtrip function in
order to go from the 165K or 32K to the 4K dlabel files, or am I missing
De : Georgios Michalareas <g...@ae.mpg.de>
Envoyé : lundi 26 mars 2018 19:20
À : Benjamin Chiêm <benjamin.ch...@uclouvain.be>; firstname.lastname@example.org
Objet : Re: [HCP-Users] MEG processing pipelines
Sorry for late reply but I was out of office.
Regarding single trial source analysis I have put together some code that shows
you how to project all motor trials for LH into source space in a matrix with
Nsources * Ntimespoints * Ntrials
beware this matrix for the specific subject is 11GB.
Please find the code attached in file
I have put some comments i hope they help.
Regarding parcellating the data, you have to use the workbench command tool to
donwload all parcelations from thw 165 K representation to the 4K one used for
the MEG source level analysis.
I ll have a look and come back to you on this.
Till then I hope the code I am sending you helps
On 3/16/2018 3:38 PM, Benjamin Chiêm wrote:
Dear HCP experts,
In the context of my PhD thesis (using HCP data), I had some questions about
MEG processing pipelines.
In my research, I somehow need the MEG data during motor task, in the source
space (i.e. after beamforming), for each trial and each individual separately.
It seems that the MEG pipelines average data over trials for each individual,
and that they reduce the temporal resolution of the data when going from
'tmegpreproc' files to 'srcavglcmv'.
So my two questions are:
- Is it possible, from the 'tmegpreproc' file for each individual, to perform
sources reconstruction with Linearly Constrained Minimum Variance beamformer
for each trial independently, and to keep the original temporal resolution
(about 500Hz)? What are the steps to follow? I tried to play with options like
« cfg.rawtrial = yes » or « cfg.keeptrials = yes » in ft_timelockanalysis and
ft_sourceanalysis of the hcp_srcavglcmv_contrasts.m file, but to be honest I am
not sure of what I am doing...
- After projection on the sources space, how can I parcellate the data, using
for example the Desikan-Killiany atlas?
I hope I am clear enough in my explanations. Thank you again for the amazing
work you're doing!
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Dr. Georgios Michalareas
Max Planck Institute for Empirical Aesthetics
phone: +49 69 8300479-325
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