On 04/11/2012 04:49 AM, [log in to unmask] wrote:
> Dear Bas,
>
> Thank you so much for your kind and helpful response.
>
> Two additional question about NaNs:
> 1) For a set of beta imgs generated by estimating one linear model, ( e.g. let's say a GLM: y = beta1*x1+beta2*x2+e)
> I assume that the coordinates of those voxels with NaN are identical across beta1.img and beta2.img?
> In other words, if a voxel in beta1.img has a value of NaN, I assume that the corresponding voxel in beta2.img will also be NaN?
When due to your mask, yes. Voxels that are outside of your mask will
assume NaNs in any of your statistical images (beta, con, T, F, etc).
> 2) Also, I understand that on a t-contrast or F-contrast map the significant voxels are represented as black dots while insignificant voxels are simply white. So what about the case of NaN voxels?
I am not sure I get what you mean. The color will depend on the colormap
you use for your overlay, and on the viewer you use. I think viewers
such as mricron will not show the NaN voxels in an overlay at all.
>
> Many thanks and best regards,
> Ce
Anytime
>
>
> ----- 原始邮件 -----
> 发件人:"Neggers, S.F.W."<[log in to unmask]>
> 收件人:[log in to unmask]
> 主题:Re: [SPM] 回复:Re:_[SPM] How to extract voxel-wise beta values
> 日期:2012年04月10日 22点57分
>
>
>
>
>
--
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Dr. S.F.W. Neggers
Division of Brain Research
Rudolf Magnus Institute for Neuroscience
Utrecht University Medical Center
Visiting : Heidelberglaan 100, 3584 CX Utrecht
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Tel : +31 (0)88 7559609
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E-mail : [log in to unmask]
Web : http://www.neuromri.nl/people/bas-neggers
: http://www.brainsciencetools.com (CEO)
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