Print

Print


Hi Hannah,

Could you please tell us which command you've used precisely? If you've used the right one, then it presumably means that all these apparently separate blobs must be connected in volume (one voxel is enough)... If this is the case, then simply ask for local maxima when running the cluster command (--olmax), this should give you the coordinates and z/t values of the peaks of what you consider to be "separate" blobs.

Cheers,
Gwenaëlle
 
------------------------------------------------------------------------------------------------------------------------
Gwenaëlle Douaud, PhD
Associate Professor & MRC Career Development Fellow

FMRIB Centre, University of Oxford
John Radcliffe Hospital, Headington
OX3 9DU Oxford UK
Switchboard: +44 (0) 1865 222 493
Fax: +44 (0) 1865 222 717

www.fmrib.ox.ac.uk/team/principal-investigators/gwenaelle-douaud
www.fmrib.ox.ac.uk/research/fmrib-interface-analysis-clinical-neuroscience-group
-----------------------------------------------------------------------------------------------------------------------


De : Hannah Bruehl <[log in to unmask]>
À : [log in to unmask]
Envoyé le : Mardi 9 juin 2015 10h55
Objet : [FSL] one huge cluster produced by cluster command

Dear FSLers,

in the past, I have succesfully used the cluster command to output the clusters from randomise-generated images. Using randomise with a mask usually produced very few, distinguishable clusters, whereas using wholebrain randomise usully did not yield anything. So far, so good.

Now I have encountered something that I cannot quite make any sense of. Using the cluster command on one of my whole brain randomise images, I get a huge cluster (see cluster output below). When I look at the actual image, there are many blobs distributed all over the brain. I checked the dlh and the volume and they are both fine.

Any idea as to why this time this is being regarded as one big cluster instead of many individual ones?
Is there a way how I can split the clearly anatomically very different blobs and obtain information about them (as the usual -thr, -uthr does not work here, obviously)?

Your help is greatly appreciated!

Thanks,

Hannah

Cluster Index    Voxels    P    -log10(P)    MAX    MAX X (mm)    MAX Y (mm)    MAX Z (mm)    COG X (mm)    COG Y (mm)    COG Z (mm)
1    219719    nan    nan    0.959    42    -55    -39    4.44    -29    26.7