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Thank you so much Dr. Fischl, that information is very helpful.

On Thu, Dec 20, 2018 at 12:18 PM Bruce Fischl <fis...@nmr.mgh.harvard.edu>
wrote:

> Hi Martin
>
> you can use whichever surface you want - they are just different
> biological questions. The files we write out by default relate to the
> white surface, but you can certainly generate the equivalent for the pial
> using mris_curvature.
>
> In general the curvature is 1/r, where r is the radius of an inscribed
> circle that is tangent to the surface in that direction. So bigger
> curvature implies smaller r (and sharper folds).
>
> As for you question (2), I think that is a biological one and depends on
> the effect you are looking for (unless I am misunderstanding)
>
> cheers
> Bruce
>
>
> On
> Thu, 20 Dec 2018, Martin Juneja wrote:
>
> >
> >         External Email - Use Caution
> >
> > Thank you so much every one for helping me in this regard. I have some
> follow up questions:
> > I am interested in associating mean curvature (H) with some behavioral
> measure. After extracting
> > subject-wise mean curvature estimates, I found a significant positive
> association between mean
> > curvature and those behavioral measures. My questions are:
> >
> > (1). Why did Dr. Greve suggested to use white surface for estimating
> mean curvature, and not pial?
> > What's the exact differences in both - is the only difference is that
> one is used for mean curvature
> > from white matter (white surface) and the other from gray matter? I am
> not sure why one is
> > recommended over the other?
> > (2). If I want to use my own spherical ROIs for mean curvature
> estimation, how much radius is enough
> > to draw spheres around peak coordinates?
> > (3). Using white surface as recommended as Dr. Greve, I get (-) values
> for all the subjects, please
> > see attached plot. Here mean curvature values are plotted along Y-axis.
> So here more negative values
> > (.e.g ~ -0.07) represent sharper folds or less negative values (e.g. ~
> -0.04) represent sharper
> > folds? If I take absolute values of mean curvature, this association
> shown in attached plot changes
> > from positive to negative. Can you please help me in interpreting the
> differences in more negative
> > and less negative values here?
> >
> > Any additional information about this measure will also be very useful,
> as I am using this parameter
> > for the first time.
> >
> > Thanks a lot.
> >
> > On Wed, Dec 19, 2018 at 4:24 PM Bruce Fischl <fis...@nmr.mgh.harvard.edu>
> wrote:
> >       a 2D manifold has two principal curvatures, usually called k1 and
> k2,
> >       which are the curvature in the direction of maximum curvature and
> minimum
> >       curvature (they are also the eigenvalues and eigenvectors of the
> Hessian of
> >       the surface if it is expressed as a function over the tangent
> bundle). The
> >       Gaussian (K) and mean (H) curvatures are then:
> >
> >       K = k1*k2
> >       H = (k1+k2)/2
> >
> >       cheers
> >       Bruce
> >
> >
> >       On Wed, 19 Dec 2018, Greve, Douglas N.,Ph.D. wrote:
> >
> >       > I'll leave that up to Bruce and Rudolph
> >       >
> >       > On 12/19/2018 05:37 PM, Martin Juneja wrote:
> >       >>
> >       >>         External Email - Use Caution
> >       >>
> >       >> Thanks Dr. Greve. That works, but both white.K and white.H are
> giving
> >       >> me very different output values.
> >       >>
> >       >> For example, for first few subjects I get:
> >       >> -0.00237    -0.00450    -0.00204     0.00113 -0.00228
> -0.00958
> >       >> -0.00314     0.00180    -0.00452 if I use white.K
> >       >> -0.05809   -0.05799    -0.06457    -0.07254 -0.07208
> -0.05023
> >       >> -0.06044    -0.09338    -0.09178 if I use white.H
> >       >>
> >       >> Can you please tell me the difference between white.K and
> white.H
> >       >> conceptually and mathematically?
> >       >>
> >       >> On Wed, Dec 19, 2018 at 2:27 PM Greve, Douglas N.,Ph.D.
> >       >> <dgr...@mgh.harvard.edu <mailto:dgr...@mgh.harvard.edu>> wrote:
> >       >>
> >       >>     something like --meas white.K or white.H
> >       >>
> >       >>
> >       >>     On 12/19/2018 04:23 PM, Martin Juneja wrote:
> >       >>    >
> >       >>    >         External Email - Use Caution
> >       >>    >
> >       >>    > Hi,
> >       >>    >
> >       >>    > Just like volume, I have "Folding Index" measures saved in
> >       >>    > lh/rh.aparc.stats files for each subject.
> >       >>    >
> >       >>    > If I am using mris_preproc *--meas volume* --out
> CV/lh.CV.mgh
> >       >>     command
> >       >>    > to concat cortical volume files from all subjects, then
> how can
> >       >>     I use
> >       >>    > this command for "folding index" output file?
> >       >>    >
> >       >>    > Any help will be really appreciated.
> >       >>    >
> >       >>    >
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