Look at spm_eeg_inv_help
Vladimir
On Thu, Dec 3, 2009 at 12:10 PM, Diane Whitmer <[log in to unmask]> wrote:
> Thank you, that is a great help.
> Another question: is there an example script somewhere for running
> spm_eeg_invert via the command line?
>
> On Wed, Dec 2, 2009 at 2:50 PM, Vladimir Litvak <[log in to unmask]>
> wrote:
>>
>> Dear Diane,
>>
>> On Wed, Dec 2, 2009 at 1:20 PM, Diane Whitmer <[log in to unmask]>
>> wrote:
>> > What is the automated way to mark all trials as bad except for one?
>> > I've tried:
>> > D.reject([2:end],1);
>> > save(D);
>> >
>>
>> Almost right. To make sure I'd do:
>>
>> D = reject(D, [], 1); % reject all trials
>> D = reject(D, i, 0); % unreject trial i
>> save(D)
>>
>> > I cannot verify that all but the first trial were successfully marked as
>> > bad
>> > by typing
>> > D.trials(2)
>> > because D.trials is a private meeg field.
>> >
>>
>> You can just do D.reject
>>
>> > After saving and then reloading the dataset using the gui, all trials
>> > are
>> > still marked as "Not bad."
>> >
>>
>> Should work now.
>>
>> > And, just to confirm, the inverse solution will be computed only based
>> > on
>> > "Not bad" trials, correct? Or do I need to ensure this by somehow using
>> > D.selectdata()?
>> >
>>
>> If you mark trials as bad they will not be used for source
>> reconstruction. One other thing you can do (I'm not sure I wrote you
>> this before) is change the condition labels so that each trial will
>> have a different label (like 'trial1', 'trial2' etc.) Like:
>>
>> for i = 1:D.ntrials
>> D = conditions(D, i, ['trial' num2str(i)]);
>> end
>> save(D)
>>
>> Then you will still get an image for each trial but the source
>> reconstruction will be informed by all trials which is likely to work
>> better.
>>
>> Best,
>>
>> Vladimir
>
>
>
> --
> Diane Whitmer
> Researcher in Applied Neuroscience
>
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