<div dir="ltr"><div>Dear Fieldtrip user,<br></div>Can anybody have EEG 64 channel head model or anyother web source where i can get the 64 channel head model then please share with me .<br></div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Apr 12, 2017 at 3:30 PM, <span dir="ltr"><<a href="mailto:fieldtrip-request@science.ru.nl" target="_blank">fieldtrip-request@science.ru.nl</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Send fieldtrip mailing list submissions to<br>
<a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
<br>
To subscribe or unsubscribe via the World Wide Web, visit<br>
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or, via email, send a message with subject or body 'help' to<br>
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<br>
When replying, please edit your Subject line so it is more specific<br>
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<br>
<br>
Today's Topics:<br>
<br>
1. Need help with cluster-based permutation test with 3 groups<br>
of subjects (Jos? Antonio Uriguen Garaizabal)<br>
2. Error when running ft_sourceanalysis with stats across two<br>
conditions (Maris Skujevskis)<br>
3. Re: cluster-based statistics with one covariate<br>
(Stephen Politzer-Ahles)<br>
4. Installing gui_streamer (Robin K?mpe)<br>
<br>
<br>
------------------------------<wbr>------------------------------<wbr>----------<br>
<br>
Message: 1<br>
Date: Tue, 11 Apr 2017 12:08:44 +0200<br>
From: Jos? Antonio Uriguen Garaizabal <<a href="mailto:jose.uriguen@deusto.es">jose.uriguen@deusto.es</a>><br>
To: FieldTrip discussion list <<a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a>><br>
Subject: [FieldTrip] Need help with cluster-based permutation test<br>
with 3 groups of subjects<br>
Message-ID:<br>
<<a href="mailto:CAMMf7X15byC6p3gqaie6wEuKekV2krZ0%2B%2BkeLLUPZ3pn2h-PAA@mail.gmail.com">CAMMf7X15byC6p3gqaie6wEuKekV2<wbr>krZ0++keLLUPZ3pn2h-PAA@mail.<wbr>gmail.com</a>><br>
Content-Type: text/plain; charset="utf-8"<br>
<br>
Dear all<br>
<br>
<br>
My name is Toni and I am working on EEG signal processing at University of<br>
Deusto, Bilbao, Spain. More specifically, right now trying to<br>
apply cluster-based permutation testing to determine whether there exist<br>
differences among 3 groups of subjects.<br>
<br>
<br>
So, for my testing, subject groups are E, EN and N, the 2 former being<br>
different types of patients and the latter being a control group. I am<br>
forming clusters based on proximity (in space) and each subject is<br>
characterized by a matrix of values that vary in 2D (per channel and<br>
another variable related but not equal to frequency).<br>
<br>
By means of a T-statistic (indepsamplesT) I can find differences in between<br>
E and EN, but I find no clusters/differences in between E and N or EN and<br>
N, even though hypothetically (I think) they should exist. By means of an<br>
F-statistic (indepsamplesF) I can find differences among the 3 groups at<br>
the same time, then also between E and EN and no differences between E and<br>
N or EN and N...<br>
<br>
Am I missing something? I do not understand why the might exist a<br>
significant cluster when comparing all 3 groups that does not exist in the<br>
1vs1 comparisons, even though the cluster is not the same I obtain when I<br>
compare E vs EN...<br>
<br>
<br>
For additional information, I attach how I run the test:<br>
<br>
cfg.method = 'distance';<br>
cfg.neighbourdist = 1;<br>
cfg.elec = ft_datatype_sens(subjEN{1}.<wbr>elec);<br>
neighbours = ft_prepare_neighbours(cfg);<br>
<br>
cfg = [];<br>
cfg.channel = {'EEG'};<br>
cfg.latency = 'all';<br>
cfg.method = 'montecarlo';<br>
cfg.statistic = 'indepsamplesT';<br>
cfg.correctm = 'cluster';<br>
cfg.clusteralpha = 0.05;<br>
cfg.clusterstatistic = 'maxsum';<br>
<br>
cfg.minnbchan = 2;<br>
<br>
cfg.neighbours = neighbours; % same as defined for the<br>
between-trials experiment<br>
cfg.tail = 0;<br>
cfg.clustertail = 0;<br>
cfg.alpha = 0.025;<br>
cfg.numrandomization = 5000;<br>
<br>
nsubj = size(subjE,2)+size(subjEN,2);<br>
design = zeros(2,nsubj);<br>
design(1,:) = [1:nsubj/2 1:nsubj/2];<br>
design(2,1:size(subjE,2)) = 1;<br>
design(2,size(subjE,2)+1:<wbr>nsubj) = 2;<br>
<br>
cfg.design = design;<br>
cfg.ivar = 2;<br>
<br>
[stat] = ft_timelockstatistics(cfg, subjEN{:}, subjE{:});<br>
<br>
<br>
When I compare the 3 groups<br>
<br>
cfg.method = 'distance';<br>
cfg.neighbourdist = 1;<br>
cfg.elec = ft_datatype_sens(subjEN{1}.<wbr>elec);<br>
neighbours = ft_prepare_neighbours(cfg);<br>
<br>
cfg = [];<br>
cfg.channel = {'EEG'};<br>
cfg.latency = 'all';<br>
cfg.method = 'montecarlo';<br>
cfg.statistic = 'indepsamplesF'; %F-statistic<br>
cfg.correctm = 'cluster';<br>
cfg.clusteralpha = 0.05;<br>
cfg.clusterstatistic = 'maxsum';<br>
<br>
cfg.minnbchan = 2;<br>
<br>
cfg.neighbours = neighbours; % same as defined for the<br>
between-trials experiment<br>
cfg.tail = 1; %One sided<br>
cfg.clustertail = 1;<br>
cfg.alpha = 0.025;<br>
cfg.numrandomization = 5000;<br>
<br>
nsubj1 = size(subjE,2);<br>
nsubj2 = size(subjEN,2);<br>
nsubj3 = size(subjN,2);<br>
nsubj = nsubj1+nsubj2+nsubj3;<br>
<br>
design = zeros(2,nsubj);<br>
design(1,:) = [1:nsubj1 1:nsubj2 1:nsubj3];<br>
design(2,1:nsubj1) = 1;<br>
design(2,nsubj1+1:nsubj1+<wbr>nsubj2) = 2;<br>
design(2,nsubj1+nsubj2+1:<wbr>nsubj) = 3;<br>
<br>
cfg.design = design;<br>
cfg.ivar = 2; %2nd row is independent var<br>
<br>
[stat] = ft_timelockstatistics(cfg, subjE{:}, subjEN{:}, subjN{:});<br>
<br>
<br>
Then, subjE, subjN and subjEN are like this:<br>
<br>
Eall = subjE{:}<br>
<br>
Eall =<br>
<br>
struct with fields:<br>
<br>
label: {1?18 cell}<br>
fsample: 200<br>
elec: [1?1 struct]<br>
trial: {[18?115 double]}<br>
time: {[1?115 double]}<br>
cfg: [1?1 struct]<br>
<br>
<br>
Thanks in advance<br>
<br>
--<br>
*Jose Antonio Urig?en*<br>
PostDoc at Deustotech-LIFE (eVIDA Research Group)<br>
[image: Deusto] <<a href="http://www.deusto.es/" rel="noreferrer" target="_blank">http://www.deusto.es/</a>><br>
Universidad de Deusto / Deustuko Unibertsitatea / University of Deusto<br>
Facultad de Ingenier?a, 4? Planta<br>
Avda. Universidades 24. 48007 Bilbao<br>
Tel. +34 94 413 90 00 / Mov. +34 656 711 643<br>
Ext. 2980<br>
<a href="mailto:jose.uriguen@deusto.es">jose.uriguen@deusto.es</a> <<a href="mailto:sanchez.alain@deusto.es">sanchez.alain@deusto.es</a>><br>
Web: <a href="http://evida.deusto.es" rel="noreferrer" target="_blank">evida.deusto.es</a><br>
*<a href="http://www.deusto.es" rel="noreferrer" target="_blank">www.deusto.es</a> <<a href="http://www.deusto.es/" rel="noreferrer" target="_blank">http://www.deusto.es/</a>>*<br>
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<br>
------------------------------<br>
<br>
Message: 2<br>
Date: Tue, 11 Apr 2017 12:13:42 +0200<br>
From: Maris Skujevskis <<a href="mailto:icelandhouse@gmail.com">icelandhouse@gmail.com</a>><br>
To: <a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
Subject: [FieldTrip] Error when running ft_sourceanalysis with stats<br>
across two conditions<br>
Message-ID:<br>
<<a href="mailto:CAKEvDiczSha1zYC0wY7mgNQG9wR9Ge0AYhV0Rrz17qRLipQ7gA@mail.gmail.com">CAKEvDiczSha1zYC0wY7mgNQG9wR9<wbr>Ge0AYhV0Rrz17qRLipQ7gA@mail.<wbr>gmail.com</a>><br>
Content-Type: text/plain; charset="utf-8"<br>
<br>
Dear Fieldtrip developers/source localizing experts,<br>
<br>
I get an error when running ft_sourceanalysis on two EEG conditions with<br>
the statistical testing (permutation) enabled (no issues with single<br>
condition and no statistics).<br>
As far as I can see, I am doing everything right (as per ft_sourceanalysis<br>
reference page; my fieldtrip version: fieldtrip-20161122). Please correct<br>
me where I am wrong or ask for more information in case what I<br>
paste/explain below is not sufficient.<br>
<br>
CODE INPUT:<br>
<br>
cfg = [];<br>
cfg.method = 'dics';<br>
cfg.frequency = 10;<br>
cfg.grid = leadfield;<br>
cfg.keepleadfield = 'no';<br>
cfg.headmodel = vol;<br>
cfg.dics.keepfilter = 'yes';<br>
cfg.dics.lambda = '5%';<br>
cfg.dics.fixedori = 'yes';<br>
cfg.dics.keepmom = 'yes';<br>
cfg.dics.realfilter = 'yes';<br>
cfg.grid.filter = source_cmb.avg.filter;<br>
cfg.permutation = 'yes';<br>
cfg.numpermutation = 500;<br>
<br>
sourceStatsAB = ft_sourceanalysis(cfg, condA, condB);<br>
<br>
COMMAND WINDOW OUTPUT:<br>
<br>
the input is freq data with 128 channels, 1 frequencybins and no timebins<br>
the input is freq data with 128 channels, 1 frequencybins and no timebins<br>
the call to "ft_selectdata" took 0 seconds<br>
converting the linearly indexed channelcombinations into a square CSD-matrix<br>
using electrodes specified in the data<br>
converting units from 'cm' to 'mm'<br>
determining source compartment (3)<br>
projecting electrodes on skin surface<br>
combining electrode transfer and system matrix<br>
creating dipole grid based on user specified dipole positions<br>
using gradiometers specified in the configuration<br>
5124 dipoles inside, 0 dipoles outside brain<br>
the call to "ft_prepare_sourcemodel" took 0 seconds<br>
the call to "ft_selectdata" took 0 seconds<br>
the call to "ft_selectdata" took 0 seconds<br>
2 conditions, each with 3 data objects<br>
averaging 182 replications for one condition<br>
averaging 182 replications for one condition<br>
2 conditions, each with 3 data objects<br>
<<<<<<<<<<<<<---------- what are the "3 data objects"?<br>
creating 100 random permutations from total 6.129982e+54<br>
<br>
HERE COMES THE ERROR:<br>
<br>
Error using prepare_resampled_data (line 381)<br>
the dimensions should be the same for every condition<br>
<br>
Error in ft_sourceanalysis (line 561)<br>
[dum, rnd_aCf, rnd_aCr, rnd_aPr, rnd_bCf, rnd_bCr, rnd_bPr] =<br>
prepare_resampled_data(cfg, aCf, aCr, aPr, bCf, bCr, bPr);<br>
<br>
<br>
When checking the function prepare_resampled_data, it turns out that it<br>
requires a cell named "datain" to have the same size matrices column-wise<br>
(whatever the columns may represent) :<br>
<br>
datain =<br>
<br>
[182x128x128 double] [182x128 double] [182x1 double]<br>
[182x128x128 double] [ 1x128 double] [ NaN]<br>
<br>
<br>
My input data condA and condB have identical dimensions, so I have no idea<br>
what has gone wrong here:<br>
<br>
condA =<br>
<br>
label: {128x1 cell}<br>
dimord: 'rpt_chan_freq'<br>
freq: 9.8462<br>
powspctrm: [182x128 double]<br>
labelcmb: {8128x2 cell}<br>
crsspctrm: [182x8128 double]<br>
cumsumcnt: [182x1 double]<br>
cumtapcnt: [182x1 double]<br>
elec: [1x1 struct]<br>
trialinfo: [182x22 double]<br>
cfg: [1x1 struct]<br>
<br>
condB =<br>
<br>
label: {128x1 cell}<br>
dimord: 'rpt_chan_freq'<br>
freq: 9.8462<br>
powspctrm: [182x128 double]<br>
labelcmb: {8128x2 cell}<br>
crsspctrm: [182x8128 double]<br>
cumsumcnt: [182x1 double]<br>
cumtapcnt: [182x1 double]<br>
elec: [1x1 struct]<br>
trialinfo: [182x22 double]<br>
cfg: [1x1 struct]<br>
<br>
<br>
<br>
<br>
Thanks for your input!<br>
<br>
Best wishes,<br>
Maris<br>
<br>
<br>
<br>
<br>
<br>
On Sun, Apr 9, 2017 at 12:00 PM, <<a href="mailto:fieldtrip-request@science.ru.nl">fieldtrip-request@science.ru.<wbr>nl</a>> wrote:<br>
<br>
> Send fieldtrip mailing list submissions to<br>
> <a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
><br>
> To subscribe or unsubscribe via the World Wide Web, visit<br>
> <a href="https://mailman.science.ru.nl/mailman/listinfo/fieldtrip" rel="noreferrer" target="_blank">https://mailman.science.ru.nl/<wbr>mailman/listinfo/fieldtrip</a><br>
> or, via email, send a message with subject or body 'help' to<br>
> <a href="mailto:fieldtrip-request@science.ru.nl">fieldtrip-request@science.ru.<wbr>nl</a><br>
><br>
> You can reach the person managing the list at<br>
> <a href="mailto:fieldtrip-owner@science.ru.nl">fieldtrip-owner@science.ru.nl</a><br>
><br>
> When replying, please edit your Subject line so it is more specific<br>
> than "Re: Contents of fieldtrip digest..."<br>
><br>
><br>
> Today's Topics:<br>
><br>
> 1. error in source parcellation and source connectivity analysis<br>
> (velmurugan jayabal)<br>
> 2. Problem with Matlab system commands in OS X (XTerm, Logout,<br>
> crash, sleep mode) (Markus Gschwind)<br>
><br>
><br>
> ------------------------------<wbr>------------------------------<wbr>----------<br>
><br>
> Message: 1<br>
> Date: Sat, 8 Apr 2017 17:54:43 -0700<br>
> From: velmurugan jayabal <<a href="mailto:velmurugan.nimhans@gmail.com">velmurugan.nimhans@gmail.com</a>><br>
> To: <a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
> Subject: [FieldTrip] error in source parcellation and source<br>
> connectivity analysis<br>
> Message-ID:<br>
> <CAKmRZP1gp6W54S4aKPDXAU_<wbr>4uZQa1LzWQiobxn7uDpR8MN-Wmw@<br>
> <a href="http://mail.gmail.com" rel="noreferrer" target="_blank">mail.gmail.com</a>><br>
> Content-Type: text/plain; charset="utf-8"<br>
><br>
> Dear Field-trip community,<br>
><br>
> I am having the following errors when computing connectivity<br>
> analysis. Please any help in this regard would be highly appreciated.<br>
> Thanks in advance.<br>
><br>
> 1. How to compute atlas based source model grid, from MMP atlas?. Since MMP<br>
> atlas doesn't contain the *dim *field, the ft_volumelookup function doesn't<br>
> work prompting me the same error.<br>
><br>
><br>
> 2. Alternatively, I had created AAL atlas based source model grid and used<br>
> to compute source connectivity (img.coh) from PCC beamformer source output.<br>
> But, I am unable to compute the connectivity value for each parcel using<br>
> ft_sourceparcellate. I am writing the codes used to derive the same.<br>
><br>
> 3. Is there any acronym or a clear explanation for the parcellation label?.<br>
> I had read Glasser et al 2016 paper and their resource site. But, I<br>
> couldn't get complete names or explanation for all the ROIs.<br>
><br>
><br>
> CODE:<br>
> %source is the output of pcc beamformer results.<br>
> cfg = [];<br>
> cfg.method ='coh';<br>
> cfg.complex = 'absimag';<br>
> source_conn_imcoh = ft_connectivityanalysis(cfg, source);<br>
><br>
> atlas =ft_read_atlas ('ROI_MNI_V5.nii');<br>
> atlas.pos =source_conn_imcoh.pos;<br>
> cfg =[];<br>
> cfg.method ='mean'<br>
> cfg.parameter ='cohspctrm';<br>
> cfg.parcellation = 'tissue';<br>
> parc_conn= ft_sourceparcellate(cfg,<wbr>source_conn, atlas);<br>
><br>
> I had even tried computing source connectivity interpolation on the atlas<br>
> before parcellation. But, I am getting a huge array > 50 GB, which exceeds<br>
> my MATLAB and system limit.<br>
><br>
><br>
> --<br>
> - sincerely,<br>
> *Velmurugan Jayabal,*<br>
> *Magnetoencephalography (MEG) research centre,*<br>
> *Department of Clinical Neurosciences,*<br>
><br>
> *National Institute of Mental Health and Neurosciences (NIMHANS),*<br>
> *Bangalore - 560029, Karnataka, India*<br>
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> attachments/20170408/ede3c3c1/<wbr>attachment-0001.html><br>
><br>
> ------------------------------<br>
><br>
> Message: 2<br>
> Date: Sun, 9 Apr 2017 11:18:21 +0200<br>
> From: Markus Gschwind <<a href="mailto:Markus.Gschwind@unige.ch">Markus.Gschwind@unige.ch</a>><br>
> To: FieldTrip discussion list <<a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a>><br>
> Subject: [FieldTrip] Problem with Matlab system commands in OS X<br>
> (XTerm, Logout, crash, sleep mode)<br>
> Message-ID:<br>
> <<wbr>CABaUQnyQcLUwAyxxyEfaVYw73Ryxc<wbr>t=sLxe_rV++Qr-zdDgz9w@mail.<br>
> <a href="http://gmail.com" rel="noreferrer" target="_blank">gmail.com</a>><br>
> Content-Type: text/plain; charset="utf-8"<br>
><br>
> Dear all,<br>
><br>
> I hope to find here an expert who knows an answer to the following problem:<br>
><br>
> I am running Matlab on OSX 10.9.5 started from the Xterm, and I am not able<br>
> to run big and lengthy matlab jobs because at each logout (which occurs<br>
> after 2h), Matlab crashes, all results are gone (if they are not save to<br>
> the HD and XTerm closes.<br>
><br>
> I start Matlab form the XTerm (and not by clicking the App Icon) in order<br>
> to be able to run system (unix) commands within Matlab.<br>
><br>
> I guess, this behaviour is proper to XTerm, and in case I could find an<br>
> other way to run system commands from Matlab, probably this could be<br>
> resolved.<br>
><br>
> Could it be that the running matlab job is not visible to the system which<br>
> goes to sleep??<br>
><br>
> For info here the power management info:<br>
><br>
> $ pmset -g custom<br>
> Battery Power:<br>
> lidwake 1<br>
> autopoweroff 1<br>
> autopoweroffdelay 14400<br>
> standbydelay 18000<br>
> standby 1<br>
> ttyskeepawake 0<br>
> hibernatemode 3<br>
> gpuswitch 2<br>
> hibernatefile /var/vm/sleepimage<br>
> displaysleep 2<br>
> sleep 0<br>
> acwake 1<br>
> halfdim 1<br>
> sms 1<br>
> lessbright 1<br>
> disksleep 10<br>
> AC Power:<br>
> lidwake 1<br>
> autopoweroff 1<br>
> autopoweroffdelay 14400<br>
> standbydelay 18000<br>
> standby 0<br>
> ttyskeepawake 1<br>
> hibernatemode 3<br>
> gpuswitch 2<br>
> hibernatefile /var/vm/sleepimage<br>
> womp 1<br>
> displaysleep 3<br>
> networkoversleep 0<br>
> sleep 0<br>
> acwake 0<br>
> halfdim 1<br>
> sms 1<br>
> disksleep 60<br>
><br>
><br>
> Many thanks for help!<br>
> Markus<br>
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> ------------------------------<br>
><br>
> ______________________________<wbr>_________________<br>
> fieldtrip mailing list<br>
> <a href="mailto:fieldtrip@donders.ru.nl">fieldtrip@donders.ru.nl</a><br>
> <a href="https://mailman.science.ru.nl/mailman/listinfo/fieldtrip" rel="noreferrer" target="_blank">https://mailman.science.ru.nl/<wbr>mailman/listinfo/fieldtrip</a><br>
><br>
> End of fieldtrip Digest, Vol 77, Issue 6<br>
> ******************************<wbr>**********<br>
><br>
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<br>
------------------------------<br>
<br>
Message: 3<br>
Date: Wed, 12 Apr 2017 10:35:29 +0800<br>
From: Stephen Politzer-Ahles <<a href="mailto:politzerahless@gmail.com">politzerahless@gmail.com</a>><br>
To: <a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
Subject: Re: [FieldTrip] cluster-based statistics with one covariate<br>
Message-ID:<br>
<<a href="mailto:CAJT2k_9mVC_jDFnrLco_qS9fGbGYfvCVaQZDJfbOPd6d_LS--A@mail.gmail.com">CAJT2k_9mVC_jDFnrLco_<wbr>qS9fGbGYfvCVaQZDJfbOPd6d_LS--<wbr>A@mail.gmail.com</a>><br>
Content-Type: text/plain; charset="utf-8"<br>
<br>
Dear Caroline,<br>
<br>
If your conditions are within-subject, then I think the best way to do this<br>
is to construct a dataset representing the conditionA - conditionB<br>
difference for each subject, and then using ft_statfun_indepsamplesregrT to<br>
regress the subject-wise difference on age. See e.g.<br>
<a href="https://mailman.science.ru.nl/pipermail/fieldtrip/2016-May/010528.html" rel="noreferrer" target="_blank">https://mailman.science.ru.nl/<wbr>pipermail/fieldtrip/2016-May/<wbr>010528.html</a> for<br>
a thread discussing a similar approach.<br>
<br>
Best,<br>
Steve<br>
<br>
<br>
---<br>
Stephen Politzer-Ahles<br>
The Hong Kong Polytechnic University<br>
Department of Chinese and Bilingual Studies<br>
<a href="http://www.mypolyuweb.hk/~sjpolit/" rel="noreferrer" target="_blank">http://www.mypolyuweb.hk/~<wbr>sjpolit/</a><br>
<<a href="http://www.nyu.edu/projects/politzer-ahles/" rel="noreferrer" target="_blank">http://www.nyu.edu/projects/<wbr>politzer-ahles/</a>><br>
<br>
<br>
<br>
> Message: 3<br>
> Date: Mon, 10 Apr 2017 14:50:13 +0200 (CEST)<br>
> From: Caroline Beese <<a href="mailto:beese@cbs.mpg.de">beese@cbs.mpg.de</a>><br>
> To: <a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
> Subject: [FieldTrip] cluster-based statistics with one covariate<br>
> Message-ID:<br>
> <<a href="mailto:1329277450.115066.1491828613491.JavaMail.zimbra@cbs.mpg.de">1329277450.115066.<wbr>1491828613491.JavaMail.zimbra@<wbr>cbs.mpg.de</a>><br>
> Content-Type: text/plain; charset=utf-8<br>
><br>
> Dear all,<br>
><br>
> I'm trying to take age as a covariate into my cluster-based statistics<br>
> comparing two dependent measures.<br>
><br>
> I have read about two options:<br>
><br>
> A) to use ft_regressconfound before I do the stats or<br>
> B) to create a design with a third row using the .cvar field in the<br>
> 'depsamplesregrT' statfun.<br>
><br>
> I understand that for correcting head motions ft_regressconfound is a<br>
> great option but for taking age into account as a covariate, it doesn't<br>
> seem intuitive to me to do this within-subject on a trial-by-trial basis<br>
> having only one number per person. Or can you use this function differently?<br>
><br>
> However, for option B) the subfunction 'unitselvec' is missing and this<br>
> seems to be an issue for several years. So I was wondering whether anyone<br>
> has ever tried to fix this problem themselves and wouldn't mind sharing?<br>
><br>
> More generally, if anyone has successfully implemented a cluster-based<br>
> statistics with one or more covariates, please share your experience, it<br>
> would be greatly appreciated.<br>
><br>
> Best Regards,<br>
> Caroline<br>
><br>
> --<br>
> Caroline Beese<br>
> PhD student<br>
><br>
> Max-Planck Institute for Human Cognitive and Brain Sciences<br>
> Department of Neuropsychology<br>
> Stephanstr. 1a<br>
> 04103 Leipzig<br>
><br>
> office phone: +49 (0) 341 9940 129<br>
><br>
> <a href="http://www.cbs.mpg.de/staff/beese-11586" rel="noreferrer" target="_blank">www.cbs.mpg.de/staff/beese-<wbr>11586</a><br>
><br>
><br>
><br>
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Message: 4<br>
Date: Wed, 12 Apr 2017 09:01:14 +0000<br>
From: Robin K?mpe <<a href="mailto:robin.kampe@liu.se">robin.kampe@liu.se</a>><br>
To: "<a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a>" <<a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a>><br>
Subject: [FieldTrip] Installing gui_streamer<br>
Message-ID:<br>
<<a href="mailto:HE1PR06MB1851F7904ECBE4DEE19D9DBA96030@HE1PR06MB1851.eurprd06.prod.outlook.com">HE1PR06MB1851F7904ECBE4DEE19D<wbr>9DBA96030@HE1PR06MB1851.<wbr>eurprd06.prod.outlook.com</a>><br>
<br>
Content-Type: text/plain; charset="iso-8859-1"<br>
<br>
Hi!<br>
<br>
We want to, from scratch, set up a real time fMRI capabilities. Your documentation covers this quite well. I do, however, get stuck on point 1 which is to launch the gui_streamer from the console. How does one obtain/install this program on our Siemens Prisma?<br>
<br>
Best,<br>
<br>
<br>
Robin K?mpe<br>
Research Engineer<br>
<br>
[Link?ping University]<br>
<br>
CSAN, Center for Social and Affective Neuroscience<br>
Department of Clinical and Experimental Medicine, IKE<br>
Mobile: +46 (0)73 8005561<br>
Please visit us at <a href="http://www.liu.se" rel="noreferrer" target="_blank">www.liu.se</a><<a href="http://www.liu.se/" rel="noreferrer" target="_blank">http://www.liu.se/</a>><br>
<br>
<br>
<br>
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End of fieldtrip Digest, Vol 77, Issue 9<br>
******************************<wbr>**********<br>
</blockquote></div><br><br clear="all"><br>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div>Laxmi Shaw</div><div>Research Scholar(PhD)</div><div>IIT Kharagpur</div><div>West Bengal</div><div>Ph no-08388837821</div><div><br></div></div></div></div></div>
</div>