Hi Georgios and Francesco

Thanks for your help and the script! My doubts are solved.

Cheers,
Adoney

On Mon, Nov 20, 2017 at 10:22 AM, Georgios Michalareas <g...@ae.mpg.de>
wrote:

> Hi Adoney (and Francesco),
>
> Francesco is right. The ICA was done independently per session. But this
> should not cause a problem to your analysis if you are using the
> preprocessed resting state data i.e.
>
> 177746_MEG_3-Restin_rmegpreproc.mat
>
> 177746_MEG_4-Restin_rmegpreproc.mat
>
> 177746_MEG_5-Restin_rmegpreproc.mat
> Because in these files only the independent components corresponding to
> eye movements and heart artifacts have been removed. This artifacts have
> quite standard topology, quite similar across the different scans.
> So under the assumption that there are small head movements between scans
> , if you concatanate the datasets and then you do ICA then you should be
> able to capture the same brain Independent components across all three
> scans. The effect of the removed eye and heart artifacts from each scan
> separately on the ICA on the concatenated data should be negligible as long
> as the head movement is small.
>
> I hope this helps
> Best
> Giorgos
>
>
> On 11/20/2017 2:09 PM, Francesco Di Pompeo wrote:
>
> Hi,
>
>
>
> ICA has been performed on the three sessions separately so I think it’s
> better to use a different strategy.
>
>
>
> Best,
>
> Francesco
>
>
>
> *Da:* hcp-users-boun...@humanconnectome.org [mailto:hcp-users-bounces@
> humanconnectome.org <hcp-users-boun...@humanconnectome.org>] *Per conto
> di *Michalareas, Georgios
> *Inviato:* venerdì 17 novembre 2017 14:15
> *A:* A Nunes <adonay.s.nu...@gmail.com> <adonay.s.nu...@gmail.com>;
> HCP-Users@humanconnectome.org
> *Oggetto:* Re: [HCP-Users] MEG resting state
>
>
>
> Hi Adoney,
>
> The released data has been only 7.5 mm maximum movement within scan.
>
> So the sensor positions should be quite close in all three resting state
> scans.
>
> ICA was done with all three sessions concatenated together.
>
> So I believe it should be one to concatenate them for your analysis too
> and assume sensors are more or less on same location.
>
> If you want to treat each different scan separately then you have to
> follow different strategies like:
>
> -Perform beamforming for each session separately and project each session
> separately into source space and then concatenate data in source space and
> do further analysis there.
>
> -Make a virtual gradiometer array as the mean of the three gradiometer
> positions in the three scans and then interpolate the data of each session
> to this virtual MEG sensors using Fieltrip’s function ft_megrealign and
> then combine all data in this virtual sensor space. Keep in mind that this
> projects the data into source space and projects it back to the virtual
> sensor space.
>
>
>
> I hope this helps
>
> Best
>
> Giorgos
>
>
>
> *From: *<hcp-users-boun...@humanconnectome.org> on behalf of A Nunes <
> adonay.s.nu...@gmail.com>
> *Date: *Thursday, 16. November 2017 at 21:56
> *To: *"hcp-users@humanconnectome.org" <HCP-Users@humanconnectome.org>
> *Subject: *[HCP-Users] MEG resting state
>
>
>
> Hi,
>
>
>
> The MEG resting state data is split in three sessions, is it possible to
> append the data before computing the covariance matrix?
>
> I have some doubts because the sensor position might change between the
> recordings and if ICA was done separately, then the rank would change
> between sessions and I don't know how would this affect beamforming.
>
>
>
> Any suggestions?
>
>
>
> Thanks
>
> Adonay
>
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> --
> ------------------------------------------------
> Dr. Georgios Michalareas
> Neuroscience Department
> Max Planck Institute for Empirical Aesthetics
>
> email: g...@aesthetics.mpg.de
> phone: +49 69 8300479-325 <+49%2069%208300479325>
> ------------------------------------------------
>
>

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