Hi Long,

This spec file has the AFNI fiducial coord file, specifically:

Human.PALS_B12.RIGHT_AVG_B1-12.FIDUCIAL_AFNI.clean.73730.coord

These are Talairach coordinates.  There are several other versions of 
the PALS fiducial coord file out there (and specifically in everyone's 
caret/data_files/fmri_mapping_files subdirectory) that support 
alternative stereotaxic spaces, like MNI152.

But if you are using a volume that comes with Mricron, then I'd be 
surprised if it were in Talairach space; I'd expected MNI152.

The point is that you can't use a volume in MNI152 to sanity check the 
alignment of data in Talairach space:

http://imaging.mrc-cbu.cam.ac.uk/imaging/MniTalairach

Find out more about ch2.nii.  I wish I had time to, but I don't.

Donna

On 07/16/2009 09:40 AM, Long wrote:
> Hi Donna,
>
> It's really appreciate for your detailed answer. I am using the 
> FIDUCIAL surface of PALS_B12.RIGHT.MCW_2008_06.73730.spec, and 
> creating border files as you taught me. So, is that the stereoscopic 
> coordinates which stored in the FIDUCIAL surface border file are the 
> Talairach coordinates? I just simply treat them as the Talairach 
> coordinates at beginning. If not, how can I convert these data to the 
> Talairach coordinates?
>
> Best,
> Long
>
> On Thu, Jul 16, 2009 at 2:50 PM, Donna Dierker 
> <[email protected] <mailto:[email protected]>> wrote:
>
>     Hi Long,
>
>     See inline reply below.
>
>     Donna
>
>     On 07/16/2009 04:45 AM, Long wrote:
>     > Hi,
>     >
>     > Also, I try to merge my modified border data, which inside the BA 4,
>     > on the FLATmap and FIDUCIAL map of
>     > PALS_B12.RIGHT.MCW_2008_06.73730.spec, attached are the pics. I
>     think
>     > my question is due to the difference of BA temlate between
>     Mricron and
>     > Caret. Maybe I should trust one of them and I don't know which.
>     >
>     > Best,
>     > Long
>     >
>     > On Wed, Jul 15, 2009 at 7:07 PM, Long <[email protected]
>     <mailto:[email protected]>
>     > <mailto:[email protected] <mailto:[email protected]>>>
>     wrote:
>     >
>     >     Many thanks to Donna and Alex! Now I begin to know the
>     meaning of
>     >     border files and coord files.
>     >
>     >     Recently, I tried to delineate the flat map with the border
>     file.
>     >     I used PALS_B12.RIGHT.MCW_2008_06.73730.spec as a template.
>     Then I
>     >     created a set of grid borders, which around the BA 4, and
>     put the
>     >     FLAT border file into the Matlab. Then the flat map, which was
>     >     filled with dots, was delineated well in Matlab.
>     >
>     >     I also export the border file of FIDUCIAL map.
>     >
>
>     Okay, the captures are very helpful in illustrating what you are doing
>     -- thanks.
>
>     >     Then I used these coordinates data which were stored in that
>     >     border file to create a 3D matrix, and export this 3D matrix
>     as a
>     >     nifti file.
>     >
>
>     Whoa.  If you want to export something as NIfTI, which I think of
>     as 3D
>     voxel grid -- not sparse 3D points -- then you should use the BA4
>     paint
>     and use Attributes: Paint: Convert paint column to paint volume.
>      You'll
>     end up with a slab of voxels, and the "space" will depend on whatever
>     fiducial surface you used.  If you are using
>     PALS_B12.RIGHT.MCW_2008_06.73730.spec, there is a good chance the
>     default fiducial coord file is AFNI, which is considerably smaller
>     than
>     the MNI options (FLIRT, MRITOTAL, SPM*).
>
>     I suppose if you do somehow use matlab to write the border points as
>     NIfTI, then be mindful of which fiducial surface you use when
>     saving the
>     fiducial border file.  Here are some useful documents:
>
>     http://brainvis.wustl.edu/help/pals_volume_normalization/
>     http://dx.doi.org/10.1016/j.neuroimage.2007.02.021
>
>     >     However, when I merge this nifti image on the ch2.hii.gz
>     (provided
>     >     by Mricron), the voxels of this 'BA4 border' image were not
>     >     located around BA 4, and almost of them were located at BA 6. I
>     >     also try converting the coordinates data into MNI
>     coordinates, but
>     >     the voxels still not around the BA 4.
>     >
>
>     I am unfamiliar with ch2.hii.gz.  Hypothetically, let's say it is some
>     population template in MNI152 space (may not be).  Then try saving the
>     border points (or Attributes: Paint: Convert paint column to paint
>     volume) using the FLIRT or SPM* fiducials surfaces, and see if your
>     results look more sane.
>
>     >
>     >     Therefore, how can I create a correct 3D image with the border
>     >     file of FIDUCIAL map?
>     >
>     The procedure you are using to convert border points to voxels is a
>     black box to me, so the problem could lie there.  But it could be as
>     simple as using the wrong reference fiducial surface when saving your
>     fiducial borders.
>
>     >
>     >     Thanks for your help.
>     >     Long
>     >
>     >     On Thu, Jul 9, 2009 at 11:05 PM, Alexander Li Cohen
>     >     <[email protected] <mailto:[email protected]>
>     <mailto:[email protected] <mailto:[email protected]>>> wrote:
>     >
>     >         Yes,
>     >          as Donna stated, the 'generated Cartesian analysis
>     grid' is the
>     >         Caret function I asked John to add so we could generate 2D
>     >         cartesian
>     >         grids on a flat surface, and then project the border so it's
>     >         folded
>     >         onto the fiducial surface... it IS a distorted grid (due
>     to the
>     >         flattening), but dealing with a triangulated mesh in 2d, or
>     >         otherwise,
>     >         is much more difficult for me to visualize (not that it
>     can't be
>     >         done... someday I hope to move towards that...) The
>     subsequent
>     >         steps
>     >         are done in matlab and standard fMRI processing tools, with
>     >         occasional
>     >         use of caret_command to convert to and from surfaces if
>     needed...
>     >
>     >         transitioning to the sphere is in development, but of
>     course,
>     >         it's a
>     >         lot harder and we're still working on it...
>     >
>     >         -Alex
>     >         ~)---------------
>     >
>     >        
>     ----------------------------------------------------------------------
>     >         Alexander Li Cohen
>     >         [email protected] <mailto:[email protected]>
>     <mailto:[email protected] <mailto:[email protected]>> (WORK Email)
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>     >         Petersen/Schlaggar Lab
>     >         Medical Scientist Training Program
>     >         Washington University in St. Louis School of Medicine
>     >        
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>     >         On Jul 9, 2009, at 2:09 PM, Donna Dierker wrote:
>     >
>     >         > Hi Long,
>     >         >
>     >         > Oh, okay.  You mean this paper, where Alex detects areal
>     >         boundaries
>     >         > using functional connectivity:
>     >         >
>     >         > http://dx.doi.org/10.1016/j.neuroimage.2008.01.066
>     >         >
>     >         > This is a legitimate use of a flat map, although I think
>     >         that Alex
>     >         > Cohen
>     >         > may have figured out a way of using the spherical map,
>     >         instead.  Over
>     >         > time, he has simplified this process.  Alex is a
>     caret-users
>     >         > subscriber,
>     >         > but I forward this reply to him, to make sure he sees it.
>     >         >
>     >         > The activation map for each subject is generated in
>     volume-land.
>     >         > The 2D
>     >         > image analysis (edge detection, etc.) is better
>     answered by Alex
>     >         > directly.
>     >         >
>     >         > But let me describe one way you could create the seeds:
>     >         >
>     >         > 1.  Load flat map in main Caret window.  Load fiducial
>     >         surface in
>     >         > Window 2.
>     >         >
>     >         > 2.  Select Layers: Borders: Create Cartesian Grid Flat
>     >         borders and
>     >         > enter
>     >         > the desired spacing.
>     >         >
>     >         > 3.  Select Layers: Borders: Project borders.
>     >         >
>     >         > 4.  Select File: Save Data File: Border Files - Surface:
>     >         Associated
>     >         > surface -- change from Flat to Fiducial.
>     >         >
>     >         > The resulting border file can be opened in a text editor
>     >         and/or read
>     >         > in
>     >         > by a program like Matlab.  It contains a bunch of border
>     >         points that
>     >         > represent this grid on the flat map projected onto the
>     >         fiducial --
>     >         > i.e.,
>     >         > the grid all crumpled up the way the cortex actually is.
>     >          Like I said,
>     >         > it is possible Alex is doing this on the PALS_B12
>     sphere now
>     >         (using
>     >         > fiducial surfaces that have been resampled to the standard
>     >         mesh, but
>     >         > still look pretty much identical to the native mesh
>     ones in
>     >         geometry).
>     >         >
>     >         > At any rate, there is no need to capture the flat map
>     as an
>     >         image, nor
>     >         > any involvement with the Brodmann parcellation whatsoever.
>     >          On the
>     >         > contrary, if you do what Alex does, it is probably INSTEAD
>     >         OF Brodmann
>     >         > areas (although it would be fun to compare).
>     >         >
>     >         > Donna
>     >         >
>     >         > On 07/09/2009 09:35 AM, Long wrote:
>     >         >> Dear Donna,
>     >         >>
>     >         >> Thank you for your quickly reply. My main purpose is to
>     >         analyze the
>     >         >> cerebral cortex by using fMRI data in 2D way. Just like
>     >         your group
>     >         >> did
>     >         >> in paper: Defining functional areas in individual human
>     >         brains using
>     >         >> resting functional connectivity MRI. Neuroimage.
>     2008. How
>     >         to create
>     >         >> seeds and after calculating, how to create a 'activation
>     >         map' on a
>     >         >> flatten cortex and perform the 2D image analysis.
>     >         >>
>     >         >> Thanks for your help.
>     >         >> Long
>     >         >>
>     >         >> On Thu, Jul 9, 2009 at 3:05 PM, Donna Dierker
>     >         >> <[email protected]
>     <mailto:[email protected]> <mailto:[email protected]
>     <mailto:[email protected]>>
>     >         <mailto:[email protected]
>     <mailto:[email protected]>
>     >         <mailto:[email protected]
>     <mailto:[email protected]>>>> wrote:
>     >         >>
>     >         >>    On 07/09/2009 06:30 AM, Long wrote:
>     >         >>
>     >         >>        Dear caret-users,
>     >         >>
>     >         >>        I want to analyze the flatten image as a 2D image,
>     >         so there
>     >         >>        are a series of questions about this:
>     >         >>
>     >         >>        1) How to export a flatten cortex as a 2D
>     image? So
>     >         I can use
>     >         >>        some 2D image processing methods.
>     >         >>
>     >         >>    I might misunderstand you, but I think it is as
>     simple as
>     >         >>    displaying the flat map in the main Caret window and
>     >         doing File:
>     >         >>    Capture Image of Window.
>     >         >>
>     >         >>
>     >         >>        2) If a cortex was flattened, how to use the new
>     >         reference
>     >         >>        coordinate system in 2D cortex to identify the 3D
>     >         coordinates,
>     >         >>        e.g., MNI coordinates?
>     >         >>
>     >         >>    In Caret, one typically would have a single topology
>     >         file for all
>     >         >>    "CLOSED" surface configurations (e.g.,
>     >         fiducial/midthickness;
>     >         >>    inflated; spherical), and a CUT topology file for any
>     >         flat ones.
>     >         >>     The topology files store the neighbor relationships
>     >         between the
>     >         >>    nodes, so you can see why a flat surface, which has
>     >         cuts, would
>     >         >>    differ in its neighbors from a surface with no cuts,
>     >         like the
>     >         >>    midthickness.  But each of these different
>     configurations --
>     >         >>    fiducial, inflated, spherical, flat -- has its own
>     >         coordinate
>     >         >>    (.coord) file.  By default, Caret writes these coord
>     >         files as
>     >         >>    binary; however, you can change the default to
>     write them as
>     >         >>    ASCII, so you can read in the coords into Matlab
>     or whatever
>     >         >>    software you like.
>     >         >>
>     >         >>    If written in ASCII, the coord file will always
>     have the
>     >         node
>     >         >>    number in the first column, so you can grep or
>     join the
>     >         2D (flat
>     >         >>    coord) and 3D (fiducial coord) files by the node
>     number.
>     >          See
>     >         >>
>     >        
>      
> http://brainvis.wustl.edu/CaretHelpAccount/caret5_help/file_formats/file_formats.html#coordFile
>     >         >>    for more information about the coord file format.
>     >         >>
>     >         >>        What is the relationship between 2D and 3D cortex.
>     >         >>
>     >         >>    It is not a simple one, like an equation.  Besides 2D
>     >         having cuts
>     >         >>    (broken neighbor relationships), the nodes have been
>     >         projected
>     >         >>    onto a Z=0 plane and then morphed across five
>     cycles to
>     >         reduce
>     >         >>    distortion and crossovers.  But the node
>     correspondence
>     >         remains
>     >         >>    the same across configurations.
>     >         >>
>     >         >>    It seems like you might want to do something like
>     this:
>     >         >>
>     >         >>    1. click on the 2D image
>     >         >>    2. find the closest node on the 2D coord
>     >         >>    3. lookup up the corresponding 3D coordinate in the
>     >         fiducial coord
>     >         >>
>     >         >>    This is easy in Caret, and if you have flat
>     surface in main
>     >         >>    window, fiducial in window 2, Caret will print the
>     >         fiducial 3D
>     >         >>    coordinate in the ID window whenever you click on
>     a node
>     >         in the
>     >         >>    flat surface (main window).
>     >         >>
>     >         >>    But once you export the flat to a 2D image, rather
>     than
>     >         remain in
>     >         >>    Caret, which is node-aware, you will have trouble
>     >         getting from
>     >         >>    step 1 to step 2 above.
>     >         >>
>     >         >>
>     >         >>        3) How to export one or two flatten Brodmann areas
>     >         based on
>     >         >>        the Brodmann template as a 2D image?
>     >         >>
>     >         >>    This requires registering your individual subjects to
>     >         the PALS_B12
>     >         >>    atlas, so you can deform the atlas Brodmann paint file
>     >         to your
>     >         >>    subjects' flat maps.  Alternatively, you can
>     deform any
>     >         measure of
>     >         >>    interest from your subjects to the PALS_B12 atlas, and
>     >         look at the
>     >         >>    Brodmann regions on the atlas flat map, which has
>     a standard
>     >         >>    shape/outline (see attached capture).
>     >         >>
>     >         >>    Be aware of distortions in the flat maps --
>     compression
>     >         near the
>     >         >>    center, expansion at the edges.  We tend NOT to
>     use them for
>     >         >>    measurement/statistical purposes; rather, they are
>     handy for
>     >         >>    drawing borders and displaying an image of the entire
>     >         cortex in
>     >         >>    one view.  I wonder how you will be using them.
>     >         >>
>     >         >>
>     >         >>        Thanks for your help.
>     >         >>        Long
>     >         >>
>     >         >>
>     >        
>     ------------------------------------------------------------------------
>     >         >>
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