Laura Menenti | 5 Jan 12:22
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Re: spm5 compatibility


Hi,

>Matthew Brett <matthew.brett <at> gmail.com> writes:

> > Are there plans for marsbar-spm5 compatibility?
> 
> Yes, there are.  I hope to get onto that quite soon - in the next week
> or so at least.  I will email with progress soon,

This message was posted Feb. 1st. I'm now trying to make MarsBar work in SPM5, 
but it doesn't. Can my problems be due to incompatibility with SPM5?

Thanks, Laura

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Matthew Brett | 5 Jan 18:44
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Re: spm5 compatibility

Hi,

> > > Are there plans for marsbar-spm5 compatibility?
> >
> > Yes, there are.  I hope to get onto that quite soon - in the next week
> > or so at least.  I will email with progress soon,

You need the marsbar devel version - see the marsbar front page for
instructions...

Best,

Matthew

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Joaquin Anguera | 9 Jan 16:35
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extracting timecourse- FIR: block design


Hello! 
I'm trying to extract the timecourse using the FIR in a block design averaging across all of my sessions. However, in my experimental design I have some runs where there is one event and others where there are multiple events. Thus, there are multiple onsets with the blocks that have multiple events (with the offsets reflecting a rest period), and I obviously do not want to average the signal during the rest period with the signal during the 'on' period. When setting up the conditions for the FIR, is there (or has anybody figured out) someway to select the appropriate 'on' bins so that I don't have to average in the 'off' periods as well? I see that when using the FIR option I can input the bin length, but this can be only a single number, rather than multiple lengths/values. Is there someway around this using MarsBaR? Any and all help would be greatly appreciated!!! 
 
Joaquin A Anguera, M.S. 
Division of Kinesiology 
University of Michigan 
janguera <at> umich.edu 
(734) 764-8186
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Matthew Brett | 10 Jan 17:48
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Re: extracting timecourse- FIR: block design

Hi,

>      In my design, I have blocks where there is a single event with a
> specified length 'on' (let's say 50 volumes) and 'off' (let's say 15 volumes
> before and after the 'on' event), so it would look like
>                                                                         'off
> 15, on 50, off 15'.     [This would constitute 1 complete scanning
> block.....]
>
> I also have much longer blocks where the same event occurs 4 times ( e.g.
> visual flash), for the same length with rest period built in (so it would
> look something like this:
>             'off' 15 vols, ' on 50', off 15 vol, 'on 50', off 15 vol, on 50,
> off 15, on 50, off 15
>
>                                              [This would also constitute 1
> complete scanning block.....]
>
> What I'd like to do is look at the timecourse for a given ROI active across
> all block types, meaning my short and long blocks.  To find the FIR for the
> short blocks by themselves, inputting a bin length is straightforward as I
> only need to have enough bins to account for the 'on period'.  But to do the
> same for either the long blocks by themselves OR all blocks put together,
> inputting the bin length is where I get stuck, as I do NOT want to average
> the rest periods between each 'on' event when looking at the timecourse of
> 'on' activation for this ROI.  So my question is if there is some way to
> input the when & the bin length of my 'on' events using MarsBar....without
> including the rest periods.

If this is an FMRI design then the FIR is usually used to include the
time for the HRF to return to zero - say about 25 seconds.  So, the
standard way would be to give a bin length * number of bins adding up
to 50 * the TR plus 25 seconds.  In this case, for the multiple event
runs, you probably don't have any extra rest against which to estimate
the baseline, so the baseline will be fairly arbitrary, but you should
be able to estimate the shape of the response nevertheless.

Best,

Matthew

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Roman Rodionov | 11 Jan 15:34
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scripting using MarsBar functions

Dear Mathew,

I'm doing ROI based analysis with MarsBar for many subjects with some 
modifications of analysis algorithm. A lot of clicking :(
Workaround: writing a script which could do all job for all subjects at 
one run. I've nearly done this but some dialogs pop-up asking to save 
ROIs of design. I'm not happy to change the MarsBar code that far (I'll 
end up with another very restricted version of Marsbar). Is there any 
better way of doing that rather than commenting calls for dialogs in 
MarsBar functions?

Thank you very much,
Roman

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boris suchan | 12 Jan 12:30
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calculation of the percentage signal change value

Hi all,

I calculated the % signal change in the hippocampus using marsbar.

For some condition I found a negative signal change which I interpreted as deactivation… Is this correct?

How is the percentage signal change calculated?

Many thanks

boris

 

 

Priv.-Doz. Dr. Boris Suchan

Institute of Cognitive Neuroscience

Ruhr University Bochum

Universitätsstr. 150

44780 Bochum

GAFO 05/613

Tel.: + 49 234 3227575

Fax: + 49 234 3214622

mailto: boris.suchan <at> rub.de

http://www.ruhr-uni-bochum.de/neuropsy/mitarbeiter/boris_suchan.html

 

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Matthew Brett | 13 Jan 22:22
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Re: scripting using MarsBar functions

Hi,

> I'm doing ROI based analysis with MarsBar for many subjects with some
> modifications of analysis algorithm. A lot of clicking :(
> Workaround: writing a script which could do all job for all subjects at
> one run. I've nearly done this but some dialogs pop-up asking to save
> ROIs of design. I'm not happy to change the MarsBar code that far (I'll
> end up with another very restricted version of Marsbar). Is there any
> better way of doing that rather than commenting calls for dialogs in
> MarsBar functions?

Are you using the batch script examples on the FAQ?  They shouldn't
get you any dialog boxes...

Best,

Matthew

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Matthew Brett | 17 Jan 18:08
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Re: calculation of the percentage signal change value

Hi Boris,

> I calculated the % signal change in the hippocampus using marsbar.
>
> For some condition I found a negative signal change which I interpreted as
> deactivation… Is this correct?
>
> How is the percentage signal change calculated?

Did you find the FAQ entry:

http://marsbar.sourceforge.net/faq.html#percent_signal

There are various ways of calculating the percent signal change - see:

http://marsbar.sourceforge.net/doc-devel/latest/marsbar/ <at> mardo/private/pr_ev_diff.html

Once we have the curve of the fitted time course divided by the
session mean, the default method is to return the maximum from this
curve if abs(max) > abs(min), and the minimum otherwise.

Best,

Matthew

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Matthew Brett | 17 Jan 18:11
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Re: compare ROI over 3 groups

Hi,

> What would you suggest for a ROI comparison between 3 groups?

I'm afraid the easiest way is to export the values from the ROIs from
the 3 groups to another statistical package; you could do it in
marsbar, but it's a bit of a pain.

> I noticed that group means are dependend on how the SPM two-sampled design
> was specified:
>
> For example: two-samped design for group1 (controls) & group2 (patients)
> gives different raw-data compare to a design for group1 (patients) & group2
> (controls). So, the design depends on the first group in the design, which
> is strange, since we didn't use contrasts in the design or in MarsBar.

No, I'm afraid I don't understand that atall.  You are saying that
with the same ROI, and a design containing exactly the same images,
with the same scaling, you get different values from the ROI
extraction?  Sounds very odd...

Best,

Matthew

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Matthew Brett | 17 Jan 18:16
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Re: Putamen ROI

Hi,

Again, very sorry for late reply.

> We have run two experiments (TR =1.5, 18 Slices) and are interested in comparing the activities in the
right and left putamen between these two experiments. We realigned, normailized and smoothed our data
with SPM99. Furthermore the design was specified and contrast of interest, that reflects the individual
putamen activity, was calculated for each subject (First Level Analysis). For comparing putamen
activity between the two expriments we want to run a roi analysis in left and right putamen. Based on the
tutorial first we specified the design (basis models Ă  two sample t-test). Then the data for left or right
putamen were extracted. We used the anatomical ROIs from the AAL Library.  The model was estimated
(Estimate Results) and the contrast (Experiment 1 > Experiment 2) was calculated.

Sounds reasonable; the putamen ROIs are pretty reasonable matches for
most brains after normalization - I doubt you would get much extra
benefit from individual ROIs.

> We have another problem with the example data of the tutorial. We use version marsbar-0.38.2 and can not
find the preprocessing script.

Ah - if you are using an old version of marsbar you will need the
older version of the example data - in this case 0.2.

I hope that helps,

Matthew

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Gmane