[caret-users] Q) what's the difference among column, average area, and user for threshold adjustment?
Donna Dierker
donna at brainvis.wustl.edu
Thu Apr 9 16:30:48 CDT 2009
YSL,
Try mapping both ways: AFM and MFM. The AFM will give you a T-value,
based on the enclosing/interpolated voxel. The MFM will give you a mean
T-value, based on where your volume intersected each of the 12 PALS hems.
By column here, I think you mean node. The surface is made up of
nodes. Nodes are enclosed by voxels -- typically several nodes are
enclosed within a given fMRI voxel.
Donna
On 04/09/2009 10:22 AM, Yune S. Lee wrote:
> Many thanks for the help, Donna, but here are my two more dumb questions.
> I'm trying to project a group-T map generated by SPM onto the
> Human.PALS_B12.BOTH.TEMPLATE-for-fMRI-MAPPING.73730 file.
> Is it the case of multi-fiducial mapping? Also, once the SPM T image
> is project on to the Human.PALS... template, does each column contain
> T-value
> in each voxel? Not sure how column is different from the basic unit,
> voxel, in caret.
> Sorry to bug you by casting dumb questions, but again your help would
> be appreciated.
>
> Thanks,
> YSL
>
>
>
>
> Donna Dierker wrote:
>> Hi YSL,
>>
>> Reading through 1.22 Metric files in the September 2006 tutorial will
>> give you an idea of how average area is useful when multi-fiducial mapping.
>>
>> There is a tag-column-threshold pos/neg value for each column in the
>> metric/surface_shape file format. If you select column threshold, the
>> threshold will be set to whatever is stored in those fields (0.0 by
>> default).
>>
>> Donna
>>
>> On 04/09/2009 09:31 AM, Yune S. Lee wrote:
>>
>>> Dear caret users,
>>>
>>> I'm wondering what are the differences among column, average area, and
>>> user for the threshold adjustment of metric settings.
>>> I'm hoping to see the area whose t-value is 5.4 in my data, so I guess
>>> I set it to user and type 5.4 in the pos.
>>> But, it would be great to know what column and average area are about.
>>> Any help would be appreciated.
>>>
>>> Thanks,
>>> YSL
>>>
>>>
>>>
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