I'm not sure I've made myself very clear.

What I'm trying to do is the following:
I have mapped my SPM data to Caret, but it shows all activated clusters.
I want to be able to display only those clusters that are larger than 50
vxls.
>From what I had understood, that would be done in the metric modification
window (attributes/metric/clustering and smoothing ), where there is a box
where you can select "Cluster Minimum Size" either by min nb of nodes or min
surface area.
It is those values that I've tried modifying without any luck: I create a
new metric column with my cluster min size, change the column name in my
visualization, but all my clusters remain.






On Fri, Aug 26, 2011 at 18:06, Donna Dierker <[email protected]>wrote:

> Hmmm.  I don't know that Caret can do this.  There are several
> cluster-based tests that find the minimum area required to correct for
> multiple comparisons, given an input cluster-forming threshold (say,
> t=+/-3.0):
>
> caret_command.txt:      caret_command -metric-statistics-anova-one-way
> caret_command.txt:      caret_command -metric-statistics-anova-two-way
> caret_command.txt:      caret_command
> -metric-statistics-coordinate-difference
> caret_command.txt:      caret_command
> -metric-statistics-interhemispheric-clusters
> caret_command.txt:      caret_command -metric-statistics-one-sample-t-test
>
> caret_command.txt:      caret_command -metric-statistics-paired-t-test
> caret_command.txt:      caret_command -metric-statistics-two-sample-t-test
>
>
> These are permutation tests that find the smallest alpha*iterations cluster
> at the specified threshold.  And they output a paint/region file showing the
> clusters that survived significance cut-off.
>
> But interactively in the GUI, I'm not aware of such a feature.  If you've
> checked the metric/smoothing dialog, then Surface: Region of Interest is the
> other place I'd look.  And I don't recall it.
>
> Since we adopted TFCE, we don't use the cluster-based tests anymore.
>
>
> On Aug 26, 2011, at 8:40 AM, Muriel LOBIER wrote:
>
> Hi all,
>
> I'm just beginning to use CARET to map activations from SPM5 to 3D brains.
> There is still one thing I can't quite succeed in doing, and that's
> limiting visible clusters to clusters above a certain size threshold. I've
> used the
> appropriate attributes/metric/clustering and smoothing command as I've seen
> in tutorials and previous posts to the mailing lists, but it doesn't ever
> seem to apply changes I make to the visualization (I've made sure I use the
> modified column).
>
> Is there anything obvious I could have missed ?
>
> Thanks,
>
> Muriel
> --
> -- - - -- - - -- - - -- - - -- - - -- - - -- - - -- - - -- - - -- - - --
> Muriel LOBIER
> Doctorante en  Sciences cognitives psychologie et neurocognition
> PhD student in Cognitive science, psychology, and neurocognition
>
> [email protected]
> [email protected]
> tel : +33 6 88 67 15 55
>
> Laboratoire de Psychologie et Neurocognition (CNRS UMR 5105)
> Bureau 220
> Tel : +33 4 76 82 58 93
>
> Bâtiment Sciences de l'Homme et des Mathématiques
> BP 47, 38040 Grenoble Cedex 9
>
>
> Web : http://webu2.upmf-grenoble.fr/LPNC/membre_muriel_lobier
> _______________________________________________
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>
>
>
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>


-- 
-- - - -- - - -- - - -- - - -- - - -- - - -- - - -- - - -- - - -- - - --
Muriel LOBIER
Doctorante en  Sciences cognitives psychologie et neurocognition
PhD student in Cognitive science, psychology, and neurocognition

[email protected]
[email protected]
tel : +33 6 88 67 15 55

Laboratoire de Psychologie et Neurocognition (CNRS UMR 5105)
Bureau 220
Tel : +33 4 76 82 58 93

Bâtiment Sciences de l'Homme et des Mathématiques
BP 47, 38040 Grenoble Cedex 9


Web : http://webu2.upmf-grenoble.fr/LPNC/membre_muriel_lobier
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