Hi everybody,
When I'm regressing out covariates Matlab returns the following to me:
Warning: Matrix is close to singular or badly scaled.
Results may be inaccurate. RCOND = 1.034803e-027.
> In rest_RegressOutCovariates>Brain4D_RegressOutCovariables at 92
In rest_RegressOutCovariates at 54
In rest_RegressOutCovariates_gui>Run_Callback at 238
In gui_mainfcn at 96
Hi,
I'm using DPARSFA and getting a message that says "error in realign" and then lists the name of the subject. The subject ran fine in DPARSF. Any idea what could be causing this?
打开overlay时报错:
??? Attempted to access theOverlay(1,217); index out of bounds because size(theOverlay)=[181,216].
Error in ==> rest_sliceviewer>AddOverlay at 2965
newOverlay(i,j)=theOverlay(i+abs(floor(Zset*theMagnifyCoefficient)),j+abs(floor(Yset*theMagnifyCoefficient)));
Error in ==> rest_sliceviewer>SetView_Orthogonal at 1445
To whom it may concern:
Thank you for kindly providing the tool for analyzing resting-state functional connectivity.
I am wondering if I can use the REST TOOL to plot a 3D brain map showing different levels of functional connectivity after running the ROI-wise analysis.
Thank you.
Regards,
Ying-hui
Can I use this option if my data is not of the same resolution as the white, gray matter, etc. images that are used to calculate the nuissance covariates?
I'm asking because I know that I cannot use the default mask if it is not of the same resolution. I'm wondering if the principle applies here too.