Dear Anette,
1D stats are not supported so well at the moment. There is some code
Will Penny wrote that he can perhaps share with you, but you'll need
some programming for that. There is nothing in the GUI but it's on my
todo list.
Best,
Vladimir
On Fri, Feb 24, 2012 at 9:02 AM, Anette Giani
<[log in to unmask]> wrote:
> Dear Vladimir and SPM-M/EEG experts,
>
> I extracted source wave forms from auditory cortex (left and right) for 4
> different conditions. Now, I would like to test statistically where those
> conditions differ in time. To do statistics in SPM data is usually
> transformed to images. Given that I have only 2 channels/sources the
> traditional way of interpolating between channels does not seem appropriate
> and even gives an error:
>
> ??? Error using ==> convhull
>
> Error computing the convex hull. Not enough unique points specified.
>
>
>
> Error in ==> spm_eeg_locate_channels at 43
>
> ch = convhull(Cel(:, 1), Cel(:, 2));
>
>
>
> Error in ==> spm_eeg_convert2scalp at 107
>
> [Cel, Cind, x, y] = spm_eeg_locate_channels(D, n, interpolate_bad);
>
>
>
> Error in ==> spm_eeg_convert2images at 287
>
> [S, Pout] = spm_eeg_convert2scalp(S);
>
>
>
> Error in ==> spm at 982
>
> evalin('base',CBs{v-1})
>
> ??? Error while evaluating uicontrol Callback
>
>
>
> Could you suggest on any other way of doing statistics on source wave data?
>
>
>
> Looking forward to your suggestions!
>
> Best,
>
> Anette
>
>
>
> @ Vladimir (response to mail: [SPM] M/EEG: problems with sourcewave
> extraction). I tried IID on a finer mesh, which indeed improved source wave
> extraction, i.e. data is much smoother. Thanks for your suggestions.
>
>
