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]>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]>> 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]>> 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]> (WORK Email)
> >         [email protected] <mailto:[email protected]> (Non-secure /
> >         rapid-response Email)
> >         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]>>> 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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