Dear Youg,
CAT12 mainly uses SPM core functions for surface-based statistical
inference and explicit masks are not handled yet - in your case, is your
explicit mask volumetric (NIfTI) or surfacic (GIfTI)?
As for the slow results display, can you try again with the attached
file and let me know whether it works better afterwards? Note that with
this function, you might see an error when no vertices survive the
height threshold.
Best regards,
Guillaume.
On 01/07/16 23:42, Youg Lee wrote:
> Dear Prof. Dr. Christian Gaser,
> Thank you so much for all your help. I want to do a correction analysis
> between significant clusters of surface-based group comparison and
> neurocognitive assessments, when I added the suprathresholded binary
> clusters as explicit mask, I encountered an error message in the
> subsequent surface model estimate. However, if I did not add any brain
> mask and left it as default, I found it ran fairly slowly (40 min per
> contrast, depending on the surviving vertices). Here I report this error
> occured during model estimate.
> Best,
> Youg Lee.
>
> SPM12: spm_spm (v6015) 06:54:44 - 02/07/2016
> ========================================================================
> Error using spm_bsplinc
> Wrong sized dim.
>
> Error in spm_spm (line 522)
> C = spm_bsplinc(xM.VM(i), [0 0 0 0 0 0]');
>
> Error in cat12>pushbutton5_Callback (line 173)
> spm_spm(SPM);
>
> Error in gui_mainfcn (line 95)
> feval(varargin{:});
>
> Error in cat12 (line 69)
> gui_mainfcn(gui_State, varargin{:});
>
> Error in
> @(hObject,eventdata)cat12('pushbutton5_Callback',hObject,eventdata,guidata(hObject))
>
>
> Error while evaluating UIControl Callback
>
>
>
--
Guillaume Flandin, PhD
Wellcome Trust Centre for Neuroimaging
University College London
12 Queen Square
London WC1N 3BG
|