think you can only do that by running some kind of rotating checkerboard wedge during fMRI acquisition, and analyze phase reversals individually in a flatmap (for example using caret) and segment according to that. That is how most vision neuroscientists do it. To my knowledge there are no clear anatomical boundaries for primary visual areas, you can only do this functionally.

I do not see an accurate way to do this based on a template label.

But perhaps others with more experience can comment on that.

Cheers,

Bas

On 08/07/2012 11:55 AM, Ce Mo wrote:
[log in to unmask]" type="cite">
Dear Ramesh and Joe,
 
Thank you for your kind advice. The thing with WFU_Pickatlas is that it doesn't have anatomical labels for lower level visual cortex sub-regions and my primary interest lies in identifying/locating V2/3. Besides, I assume that the masks created using WFU_Pickatlas are based on stereotactic space such as MNI or Talaraich but I need to define such anatomical ROIs based on individual subject's anatomical information.  So how should I proceed?
 
Many thanks,
    Ce

----- 原始邮件 -----
发件人：Anupa Ramesh <[log in to unmask]>
收件人：[log in to unmask]
主题：Re: [SPM] 回复：Re: [SPM] How to create Subject-Wise Anatomical ROI
日期：2012年08月07日 17点31分



-- 
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Dr. S.F.W. Neggers
Division of Brain Research
Rudolf Magnus Institute for Neuroscience
Utrecht University Medical Center

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         : http://www.brainsciencetools.com (CEO)
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