Thanks, will try it. Can I ask what the contrast matrix should look like if I want to find regions showing any differences between 4 groups?
I can only think of how I could obtain pairwise differences either between individual groups, or the average of two groups vs that of the other two groups. I would like to compare all groups to each other simultaneously, to identify region where there is at least one difference between any 2 of the 4 groups, as per an F-test.
Thanks again, Alex
On 26/12/2007, at 4:52 PM, Nick Schmansky wrote:
Alex,
In qdec, currently it's limited to two discrete factors, although using mri_glmfit (upon which qdec is built) you could formulate your own contrast matrices having >2 discrete factors.
Nick
On Wed, 2007-12-26 at 13:32 +1100, Alex Fornito wrote:
Great. Thanks for the feedback.
One last question - is it possible to run an analysis with a discrete variable that has >2 levels? I have four groups I am trying to compare, and I would like to run an overall analysis akin to an F- test to see where any differences between them are. I tried to run this in qdec, but got an error message saying that the factor must have 2 levels.
Thanks again, Alex
On 24/12/2007, at 11:29 AM, Doug Greve wrote:
On Fri, 21 Dec 2007, Alex Fornito wrote:
Hi, After wrestling with this a bit, I think I get the idea (finally!). Just to confirm:
1- set a primary threshold in the mri_glmfit command, e.g., --sim perm 5000 1.3 will run 5000 permutations with the primary cluster forming threshold set at .05.
This threshold is called the voxel-wise (or vertex-wise) threshold.
2- Look up the cluster summary table and identify clusters with CWP < .05 (if alpha=.04). These CWP values are corrected based on the maximal cluster size statistics generated during the permutations.
3 - Visualize clusters in tksurfer - one way is to load the -- cwsig file, where each cluster is assigned a corrected p-value. Seeting the overlay display to min=1.3 will then show you all clusters that are significant at the clusterwise corrected .05 level.
Correct, just keep in mind that the .05 for #3 is the cluster-wise threshold which is distinct from from the vertex-wise threshold set in #1.
Am I right so far?
Couple more questions regarding smoothing:
1 - If I input data obtaioned from qdec into mri_glmfit just to run the permutations, do I need to specify the --fwhm? Does this correspond to the one used for the analysis (i.e., the one specific in qdec), or the residual fwhm obtained from the y.fsgd file? (Note, I see that you need to specify the residual fwhm for the monte-carlo sims, by I wanted to check whether a fwhm is required for the --sim perm option)
it is not required for permutation
2 - does the --var-fwhm option corresond to the variance smoothing described in the Nichols and Holmes Hum Brain Mapp paper? If so, it seems this would be useful for --sim perm. Does anyone have any recommendations for what a good value would be? Should it be the same fwhm as that used to smooth the thickness values; i.e., is I specify 15mm in qdec, should I use 15mm for --var-fwhm?
Yes, it does refer to that. I have not really used it much, so I can't recommend a fwhm. However, you can be much more agressive with variance smoothing than for smoothing the raw data. The assumption with variance smoothing is that the noise variance is constant over the smoothing kernel.
doug
Thanks again for your help, Alex
On 11/12/2007, at 12:49 PM, Doug Greve wrote:
Alex Fornito wrote:
Sorry Doug, I'm a bit thick , so pls let me clarify :) The threshold set in mri_glmfit with --sim perm 5000 1.3 corresponds to the primary (1) vertex-wise threshold; (2) the cluster-based threshold; or (3) both?
Just #1, the vertex-wise. The simulation is done to figure out #2.
I'm a little confused, as in you previous response you stated: >> Thus, if I set --sim perm 5000 1.3, vertices significant >> at p<.05 will first be identified, and those that are >> connected will be assigned to clusters. > Correct so far. But then later said the vertex-wise values are uncorrected. In that case, and based on your response re: data contained in the .csd file, I assume that the '1.3' threshold corresponds to that determined by the permutation distribution for the group difference statistic at each vertex, rather than the maxima across all vertices, which corrects for multiple comparisons as detailed in the Nichols & Holmes (2001) paper. This is why the vertex-wise values are uncorrected?
The 1.3 is what you determined and specified on the command- line. The maxima across all vertices is stored in the CSD and can in principle be used to compute a vertex-wise threshold (instead of using a cluster-wise correction). In this case, the 1.3 you spec on the cmd line would be meaningless.
If the above is the case, than how and when is the cluster- wise threshold selected? I noted that you said any cluster- wise threshold can be selected, by mri_surfcluster does not allow me to set a --thmin different to that passed to mri_glmfit when using a .csd file.
By default, mri_surfcluster will print out all clusters along with their cluster-wise p-value. You then look at the list and only report the ones that meet the threshold that you feel comfortable with.
Thanks again. On 11/12/2007, at 12:03 PM, Doug Greve wrote: > Alex Fornito wrote: >> Ok, so sounds like that is not possible - thanks for >> clarifying. >> I have been playing with the --sim perm option and was >> wondering how cluster-level inferences are determined. >> From what I understand, a primary (voxel-level) threshold >> generally needs to be specified to form clusters, prior to >> some statistics assessing a particular property of the >> suprathreshold clusters (e.g., size or mass) being tested >> again its null distribution. >> I know that the --sim perm requires specification of a >> threshold, but I am presuming that this if for cluster- >> level inference. mri_surfcluster obtains threshold >> information from the .csd file with no further user input, >> making me wonder how the 'primary', vertex-level threshold >> for determining supra-threshold clusters is set. I see two >> possible options: >> 1 - You are implementing the Threshold-Free Cluster >> Enhancement (TFCE) technique described on the Randomize >> website. > Never heard of it. >> 2 - The primary, vertex-wise threshold is determined by >> the permutation distribution of the maximal statistic for >> the difference between two groups (in a 2-group >> comparison). All connected suprathreshold vertices are >> then assigned to different clusters, and the size of these >> clusters is then tested against the permutation >> distribution for cluster size. >> Thus, if I set --sim perm 5000 1.3, vertices significant >> at p<.05 will first be identified, and those that are >> connected will be assigned to clusters. > Correct so far. >> Clusters will then be determined significant if p<05, as >> evaluated against the permutation distribution for the >> maximal cluster size statistic. > You can choose any cluster-wise sig threshold you want (ie, > it is distinct from the vertex-wise threshold). >> Is this what the MaxStat and MaxClusterSize columns in >> the .csd file correspond to? > I've programmed mri_glmfit to keep track of both the max > cluster size and the maximum statistic. The latter can be > used to do a vertex-wise correction for muliple comparisons > instead of a cluster-wise. This avoids having to set an > arbitrary vertex-wise threshold needed when clustering. I'm > still missing a piece of code that will apply the CSD in > this way. >> If this is the case, is using 2 corrected thresholds (for >> primary, vertex-wise, and then cluster-level inferences) >> seems to be relatively conservative? I have noted that in >> many fMR experiments, it seems customary to use an >> uncorrected primary threshold based on signal intensity, >> coupled with an extent threshold to form clusters, prior >> to making FWE-corrected cluster-level inferences. > The vertex-wise theshold is not corrected in any way. > doug >> Appreciate help on this and sorry for all the questions - >> much of this is new to me!! >> Alex >> On 07/12/2007, at 5:59 AM, Doug Greve wrote: >>> FDR assumes that the collection of values has both >>> positives and negatives. It assumes that the pvalues of >>> the negatives are uniformly distributed between 0 and 1, >>> and this model is used to estimate the total number of >>> positives (both true and false). When you cluster, you >>> are setting all voxels below a certain threshold to 0, >>> thus invalidating the assumption about the distribution >>> of the negatives. >>> doug >>> Alexander Fornito wrote: >>>> Sorry, can I ask why the clustering step would >>>> invalidate FDR? >>>>> From my understanding, FDR allows you set a limit on >>>> the number of false >>>> positive in a family of contrasts reaching >>>> significance at a nominal >>>> threshold. I would like to this nominal threshold >>>> using cluster stats >>>> (e.g., p<.05, cluster extent 30mm), and then use FDR >>>> to correct for >>>> comparisons at vertices exceeding this initial >>>> threshold, therefore >>>> avoiding running FDR on each vertex of the surface. Is >>>> this not possible? >>>>> That does not sound right, I think that the first >>>>> clustering step will >>>>> probably invalidate FDR. You can use FDR to set the >>>>> voxel-wise threshold >>>>> when you run mri_surfcluster, but I'm not sure you >>>>> can do it afterwards. >>>>> Alex Fornito wrote: >>>>>> I retract the last email - it seems like I was >>>>>> entering the wrong >>>>>> sig.mgh file as input. Sorry for the confusion!!! >>>>>> On a separate issue, I would like to check that I >>>>>> have the following >>>>>> correct: >>>>>> I have extracted a cluster image using >>>>>> mri_surfcluster withouth >>>>>> running simulations. Say, for e.g., I use thmin 2 >>>>>> and minarea 30. I >>>>>> load the resulting output.mgh file into tksurfer. >>>>>> I would then like to perform FDR correction on the >>>>>> resulting clusters. >>>>>> I'm guessing that pressing the FDR button in the >>>>>> Overlay config menu >>>>>> will do the trick, since (from what I understand) >>>>>> the output.mgh file >>>>>> I have loaded assigns a zero to all vertices not >>>>>> in a cluster. I >>>>>> figure that this will therefore result in an FDR >>>>>> correction that >>>>>> accounts only for the vertices within my clusters. >>>>>> However, I'm uncertain how the 'only marked' >>>>>> checkbox fits in. If I >>>>>> tick it, I get an error calculating the FDR. I'm >>>>>> guessing this option >>>>>> is relevant if you combined a stat map with a >>>>>> label file. >>>>>> Am I on the right track? >>>>>> Thanks again, >>>>>> Alex >>>>>> On 05/12/2007, at 9:52 AM, Alex Fornito wrote: >>>>>>> <Pic.png> >>>>>>> Thanks for all your help guys, but I am still >>>>>>> having trouble (!). >>>>>>> This time I've tried a different dataset, again >>>>>>> just a simple 2 group >>>>>>> comaprison with no covariates. >>>>>>> Running this in qdec, and visualizing with a low >>>>>>> threshold (min=1.3), >>>>>>> I see a whole bunch of clusters (see attached). >>>>>>> However, when I run >>>>>>> mri_surfcluster, I only get one whole brain >>>>>>> cluster again (see >>>>>>> below). This time I smoothed with 15 mm in qdec, >>>>>>> although I get the >>>>>>> same if I smooth with 10mm. I have kept the >>>>>>> thresholds low on >>>>>>> purpose, because I expect that something should >>>>>>> come out?? I did not >>>>>>> run simulations in this instance, to cut >>>>>>> processing time. >>>>>>> mri_surfcluster --in >>>>>>> qdec/MF_lh_15mm/contrasts.sig.mgh --no-adjust >>>>>>> --subject fsaverage/ --hemi l h --thmin 1.3 -- >>>>>>> minarea 15 --sum >>>>>>> TestClusters >>>>>>> thsign = abs, id = 0 >>>>>>> version $Id: mri_surfcluster.c,v 1.39 2007/07/31 >>>>>>> 00:34:19 greve Exp $ >>>>>>> hemi = lh >>>>>>> srcid = >>>>>>> qdec/MF_lh_15mm/contrasts.sig.mgh paint >>>>>>> srcsubjid = fsaverage/ >>>>>>> srcsurf = white >>>>>>> srcframe = 0 >>>>>>> thsign = abs >>>>>>> thmin = 1.3 >>>>>>> thmax = -1 >>>>>>> fdr = -1 >>>>>>> minarea = 15 >>>>>>> xfmfile = talairach.xfm >>>>>>> nth = -1 >>>>>>> sumfile = TestClusters >>>>>>> subjectsdir >>>>>>> = /data/kang/work/struct/alex/freesurfer/ >>>>>>> subjects_cann >>>>>>> FixMNI = 1 >>>>>>> ------------- XFM matrix (RAS2RAS) >>>>>>> --------------- >>>>>>> /data/kang/work/struct/alex/freesurfer/subjects_cann/ >>>>>>> fsaverage//mri/transforms/t >>>>>>> alairach.xfm >>>>>>> 1.000 0.000 0.000 0.000; >>>>>>> 0.000 1.000 0.000 0.000; >>>>>>> 0.000 0.000 1.000 0.000; >>>>>>> 0.000 0.000 0.000 1.000; >>>>>>> ---------------------------------------------------- >>>>>>> Reading source surface >>>>>>> /data/kang/work/struct/alex/freesurfer/subjects_cann/fsav >>>>>>> erage//surf/lh.white >>>>>>> reading group avg surface area 822 cm^2 from >>>>>>> file >>>>>>> Reading in average area >>>>>>> /data/kang/work/struct/alex/freesurfer/subjects_cann/fsa >>>>>>> verage//surf/lh.white.avg.area.mgh >>>>>>> Done reading source surface >>>>>>> Computing metric properties >>>>>>> Loading source values >>>>>>> number of voxels in search space = 163842 >>>>>>> Done loading source values (nvtxs = 163842) >>>>>>> overall max = 1e+10 at vertex 26 >>>>>>> overall min = 1.75775 at vertex 126983 >>>>>>> surface nvertices 163842 >>>>>>> surface area 65416.985991 >>>>>>> surface area 65416.985976 >>>>>>> NOT Adjusting threshold for 1-tailed test >>>>>>> Searching for Clusters ... >>>>>>> thmin=1.300000 (1.300000), thmax=-1.000000 (-1), >>>>>>> thsignid=0, >>>>>>> minarea=15.000000 >>>>>>> Found 1 clusters >>>>>>> Max cluster size 103339.460938 >>>>>>> INFO: fixing MNI talairach coordinates >>>>>>> On 05/12/2007, at 4:19 AM, Doug Greve wrote: >>>>>>>> There's really no such thing as an opt kernel >>>>>>>> size. The best size >>>>>>>> depends on the underlying signal and can be >>>>>>>> space variant. >>>>>>>> doug >>>>>>>> Alex Fornito wrote: >>>>>>>>> Yes, I selected 25 mm on qdec, based on the >>>>>>>>> Lerch paper suggesting >>>>>>>>> this was a generally 'optimal' kernel size. >>>>>>>>> The 34.309.. was the >>>>>>>>> residual output to y.fsgd. >>>>>>>>> Do you recommend a smaller kernel? >>>>>>>>> On 04/12/2007, at 5:41 PM, Pratap Kunwar >>>>>>>>> wrote: >>>>>>>>>> I think, one reason for getting only one >>>>>>>>>> big cluster is because >>>>>>>>>> your fwhm >>>>>>>>>> value is very high. By the way how did you >>>>>>>>>> get fwhm 34.309616??, >>>>>>>>>> was it >>>>>>>>>> produced by selecting fwhm 25 (max on >>>>>>>>>> Qdec)on Qdec? >>>>>>>>>> Did you try fwhm 10 or 15? >>>>>>>>>>> Thanks for your help Pratap. >>>>>>>>>>> I've actually been trying to follow the >>>>>>>>>>> tutorial and was running >>>>>>>>>>> simulations initially, but when I tried >>>>>>>>>>> to re-trace my steps I >>>>>>>>>>> ended >>>>>>>>>>> omitted them because I forgot they were >>>>>>>>>>> necessary for >>>>>>>>>>> mri_surfcluster. >>>>>>>>>>> Either way, the results are the same- I >>>>>>>>>>> still get one whole surface >>>>>>>>>>> cluster as output even after running >>>>>>>>>>> simulations. In this case, I >>>>>>>>>>> re- >>>>>>>>>>> ran it copying your commands, except I >>>>>>>>>>> used perm because I have low >>>>>>>>>>> numbers and no covariates. I also ran >>>>>>>>>>> 1000 permutations, to get a >>>>>>>>>>> quick initial result for testing. My >>>>>>>>>>> commands and output are below. >>>>>>>>>>> I would appreciate further help on this, >>>>>>>>>>> as I'm not sure where I'm >>>>>>>>>>> going wrong! >>>>>>>>>>> also, I noticed that after your >>>>>>>>>>> mri_glmfit command, you added --i >>>>>>>>>>> divided into 5000 each. Sorry, but I'm >>>>>>>>>>> not sure what you meant by >>>>>>>>>>> that. >>>>>>>>>> ---> i had split simulation (10,000 >>>>>>>>>> iterations)into multiple runs >>>>>>>>>> csd1* >>>>>>>>>> (5000 iterations) and csd2* (5000 >>>>>>>>>> iterations) since mc-z >>>>>>>>>> relatively takes >>>>>>>>>> long time comparing to permutation. >>>>>>>>>> More on, >>>>>>>>>> https://surfer.nmr.mgh.harvard.edu/fswiki/ >>>>>>>>>> FsTutorial_2fGroupAnalysis? >>>>>>>>>> action=highlight&value=fsgd >>>>>>>>>> <https://surfer.nmr.mgh.harvard.edu/fswiki/ >>>>>>>>>> FsTutorial_2fGroupAnalysis?action=highlight&value=fsgd> >>>>>>>>>>> mri_glmfit --y qdec/MF_group_rh/y.mgh -- >>>>>>>>>>> fsgd qdec/MF_group_rh/ >>>>>>>>>>> qdec.fsgd doss --surf fsaverage rh -- >>>>>>>>>>> fwhm 34.309616 --C qdec/ >>>>>>>>>>> MF_group_rh/contrasts/Diff-1-2- >>>>>>>>>>> Intercept.mat --sim perm 1000 2 >>>>>>>>>>> stats/ >>>>>>>>>>> newperm_rh/newperm_rh --glmdir >>>>>>>>>>> stats/newperm_rh/ >>>>>>>>>>> gdfReadHeader: reading >>>>>>>>>>> qdec/MF_group_rh/qdec.fsgd >>>>>>>>>>> INFO: demeaning continous variables >>>>>>>>>>> Continuous Variable Means (all subjects) >>>>>>>>>>> Class Means of each Continuous Variable >>>>>>>>>>> 1 group1 >>>>>>>>>>> 2 group2 >>>>>>>>>>> INFO: gd2mtx_method is doss >>>>>>>>>>> Reading source >>>>>>>>>>> surface /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>> subjects_cann/fsaverage/surf/rh.white >>>>>>>>>>> reading group avg surface area 822 cm^2 >>>>>>>>>>> from file >>>>>>>>>>> Reading in average >>>>>>>>>>> area /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>> subjects_cann/fsaverage/surf/rh.white.avg.area.mgh >>>>>>>>>>> simbase stats/newperm_rh/newperm_rh >>>>>>>>>>> Number of vertices 163842 >>>>>>>>>>> Number of faces 327680 >>>>>>>>>>> Total area 65020.765625 >>>>>>>>>>> AvgVtxArea 0.396850 >>>>>>>>>>> AvgVtxDist 0.717994 >>>>>>>>>>> StdVtxDist 0.193566 >>>>>>>>>>> reading group avg surface area 822 cm^2 >>>>>>>>>>> from file >>>>>>>>>>> Reading in average >>>>>>>>>>> area /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>> subjects_cann/fsaverage/surf/rh.white.avg.area.mgh >>>>>>>>>>> INFO: fwhm2niters: Fixing group surface >>>>>>>>>>> area >>>>>>>>>>> Surface smoothing by fwhm=34.309616, >>>>>>>>>>> niters=866.000000 >>>>>>>>>>> $Id: mri_glmfit.c,v 1.138.2.1 2007/09/12 >>>>>>>>>>> 15:38:19 nicks Exp $ >>>>>>>>>>> cwd /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>> subjects_cann >>>>>>>>>>> cmdline mri_glmfit --y >>>>>>>>>>> qdec/MF_group_rh/y.mgh --fsgd >>>>>>>>>>> qdec/MF_group_rh/ >>>>>>>>>>> qdec.fsgd doss --surf fsaverage rh -- >>>>>>>>>>> fwhm 34.309616 --C qdec/ >>>>>>>>>>> MF_group_rh/contrasts/Diff-1-2- >>>>>>>>>>> Intercept.mat --sim perm 1000 2 >>>>>>>>>>> stats/ >>>>>>>>>>> newperm_rh/newperm_rh --glmdir >>>>>>>>>>> stats/newperm_rh/ >>>>>>>>>>> sysname Linux >>>>>>>>>>> hostname kang >>>>>>>>>>> machine i686 >>>>>>>>>>> user alex >>>>>>>>>>> FixVertexAreaFlag = 1 >>>>>>>>>>> UseMaskWithSmoothing 1 >>>>>>>>>>> fwhm 34.309616 >>>>>>>>>>> niters 866.000000 >>>>>>>>>>> OneSampleGroupMean 0 >>>>>>>>>>> y >>>>>>>>>>> /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>> subjects_cann/qdec/ >>>>>>>>>>> MF_group_rh/y.mgh >>>>>>>>>>> logyflag 0 >>>>>>>>>>> usedti 0 >>>>>>>>>>> FSGD qdec/MF_group_rh/qdec.fsgd >>>>>>>>>>> glmdir stats/newperm_rh/ >>>>>>>>>>> DoFFx 0 >>>>>>>>>>> Loading y from >>>>>>>>>>> /data/kang/work/struct/alex/freesurfer/subjects_cann/ >>>>>>>>>>> qdec/MF_group_rh/y.mgh >>>>>>>>>>> Matrix condition is 1 >>>>>>>>>>> search space = 82167.6 >>>>>>>>>>> Smoothing input by fwhm 34.309616 >>>>>>>>>>> Smoothing done, nsteps = 866, tsec = >>>>>>>>>>> 1236.17 >>>>>>>>>>> ... done >>>>>>>>>>> DOF = 28 >>>>>>>>>>> thresh = 2, threshadj = 2 >>>>>>>>>>> Starting simulation sim over 1000 trials >>>>>>>>>>> 1/1000 t=0 >>>>>>>>>>> ------------------------------------------------ >>>>>>>>>>> Starting fit and test >>>>>>>>>>> 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% >>>>>>>>>>> Diff-1-2-Intercept 0 nc=3 >>>>>>>>>>> maxcsize=1910.81 sigmax=-3.00831 >>>>>>>>>>> Fmax=13.551 >>>>>>>>>>> 2/1000 t=0.0572833 >>>>>>>>>>> ------------------------------------------------ >>>>>>>>>>> Starting fit and test >>>>>>>>>>> 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% >>>>>>>>>>> Diff-1-2-Intercept 1 nc=0 maxcsize=0 >>>>>>>>>>> sigmax=1.36036 Fmax=4.46612 >>>>>>>>>>> 3/1000 t=0.0994333 >>>>>>>>>>> ------------------------------------------------ >>>>>>>>>>> ... and so on... then >>>>>>>>>>> mri_surfcluster --src >>>>>>>>>>> qdec/MF_group_lh/contrasts.sig.mgh --csd >>>>>>>>>>> stats/ >>>>>>>>>>> newperm_lh/newperm_lh-Diff-1-2- >>>>>>>>>>> Intercept.csd --sum >>>>>>>>>>> stats/newperm_lh/ >>>>>>>>>>> newperm_lh --ocp >>>>>>>>>>> stats/newperm_lh/newperm_lh.mgh >>>>>>>>>>> thsign = abs, id = 0 >>>>>>>>>>> version $Id: mri_surfcluster.c,v 1.39 >>>>>>>>>>> 2007/07/31 00:34:19 greve Exp >>>>>>>>>>> $ >>>>>>>>>>> hemi = rh >>>>>>>>>>> srcid = >>>>>>>>>>> qdec/MF_group_lh/contrasts.sig.mgh paint >>>>>>>>>>> srcsubjid = fsaverage >>>>>>>>>>> srcsurf = white >>>>>>>>>>> srcframe = 0 >>>>>>>>>>> thsign = abs >>>>>>>>>>> thmin = 2 >>>>>>>>>>> thmax = -1 >>>>>>>>>>> fdr = -1 >>>>>>>>>>> minarea = 0 >>>>>>>>>>> xfmfile = talairach.xfm >>>>>>>>>>> nth = -1 >>>>>>>>>>> sumfile = stats/newperm_lh/newperm_lh >>>>>>>>>>> subjectsdir = >>>>>>>>>>> /data/kang/work/struct/alex/freesurfer/subjects_cann >>>>>>>>>>> FixMNI = 1 >>>>>>>>>>> ------------- XFM matrix (RAS2RAS) >>>>>>>>>>> --------------- >>>>>>>>>>> /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>> subjects_cann/ fsaverage/mri/ >>>>>>>>>>> transforms/talairach.xfm >>>>>>>>>>> 1.000 0.000 0.000 0.000; >>>>>>>>>>> 0.000 1.000 0.000 0.000; >>>>>>>>>>> 0.000 0.000 1.000 0.000; >>>>>>>>>>> 0.000 0.000 0.000 1.000; >>>>>>>>>>> ---------------------------------------------------- >>>>>>>>>>> Reading source >>>>>>>>>>> surface /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>> subjects_cann/fsaverage/surf/rh.white >>>>>>>>>>> reading group avg surface area 822 cm^2 >>>>>>>>>>> from file >>>>>>>>>>> Reading in average >>>>>>>>>>> area /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>> subjects_cann/fsaverage/surf/rh.white.avg.area.mgh >>>>>>>>>>> Done reading source surface >>>>>>>>>>> Computing metric properties >>>>>>>>>>> Loading source values >>>>>>>>>>> number of voxels in search space = >>>>>>>>>>> 163842 >>>>>>>>>>> Done loading source values (nvtxs = >>>>>>>>>>> 163842) >>>>>>>>>>> overall max = 43.1907 at vertex 101931 >>>>>>>>>>> overall min = 7.66111 at vertex 28089 >>>>>>>>>>> surface nvertices 163842 >>>>>>>>>>> surface area 65020.838384 >>>>>>>>>>> surface area 65020.838382 >>>>>>>>>>> NOT Adjusting threshold for 1-tailed >>>>>>>>>>> test >>>>>>>>>>> Searching for Clusters ... >>>>>>>>>>> thmin=2.000000 (2.000000), >>>>>>>>>>> thmax=-1.000000 (-1), thsignid=0, >>>>>>>>>>> minarea=0.000000 >>>>>>>>>>> Found 1 clusters >>>>>>>>>>> Max cluster size 103836.125000 >>>>>>>>>>> INFO: fixing MNI talairach coordinates >>>>>>>>>>> Saving cluster pval >>>>>>>>>>> stats/newperm_lh/newperm_lh.mgh >>>>>>>>>>> On 04/12/2007, at 11:30 AM, Pratap >>>>>>>>>>> Kunwar wrote: >>>>>>>>>>>> Alex, >>>>>>>>>>>> You have to do simulations using >>>>>>>>>>>> mri_glmfit before youdo >>>>>>>>>>>> mri_surfcluster, >>>>>>>>>>>> [more info in this link at >>>>>>>>>>>> https://surfer.nmr.mgh.harvard.edu/fswiki/ >>>>>>>>>>>> FsTutorial_2fGroupAnalysis? >>>>>>>>>>>> action=highlight&value=fsgd >>>>>>>>>>>> go down to [4.0 Using mri_glmfit to >>>>>>>>>>>> correct for multiple >>>>>>>>>>>> comparisons: ] >>>>>>>>>>>> USAGE: ./mri_glmfit >>>>>>>>>>>> --glmdir dir : save outputs to dir >>>>>>>>>>>> --y inputfile **y.mgh >>>>>>>>>>>> --fsgd FSGDF <gd2mtx> : freesurfer >>>>>>>>>>>> descriptor file **qdec.fsgd >>>>>>>>>>>> --C contrast1.mat <--C >>>>>>>>>>>> contrast2.mat ...> >>>>>>>>>>>> --fwhm fwhm : smooth input by fwhm >>>>>>>>>>>> ** your smoothing value from >>>>>>>>>>>> " >>>>>>>>>>>> fwhm.dat" >>>>>>>>>>>> --surf subject hemi <surfname> : >>>>>>>>>>>> needed for some flags (uses >>>>>>>>>>>> white by >>>>>>>>>>>> default) **lh or rh >>>>>>>>>>>> --sim nulltype nsim thresh >>>>>>>>>>>> csdbasename : simulation perm, mc- >>>>>>>>>>>> full, mc-z >>>>>>>>>>>> **mc-z (i used) is faster than mc- >>>>>>>>>>>> full, minimum threshold value >>>>>>>>>>>> ( i.e. >>>>>>>>>>>> 1.3 for 0.05), >>>>>>>>>>>> My command was more like this, >>>>>>>>>>>> mri_glmfit --y y.mgh --fsgd qdec.fsgd >>>>>>>>>>>> doss --surf fsaverage rh -- >>>>>>>>>>>> fwhm < ?? >>>>>>>>>>>>> --C contrast/contrastname.mat --sim >>>>>>>>>>>>> mc-z 5000 1.3 f11/csd1 -- >>>>>>>>>>>>> glmdir f11 >>>>>>>>>>>> mri_glmfit --y y.mgh --fsgd qdec.fsgd >>>>>>>>>>>> doss --surf fsaverage rh >>>>>>>>>>>> --fwhm >>>>>>>>>>>> 14.504073 --C >>>>>>>>>>>> contrast/contrastname.mat --sim mc-z >>>>>>>>>>>> 5000 1.3 >>>>>>>>>>>> f11/csd2 >>>>>>>>>>>> --glmdir f11 >>>>>>>>>>>> --i divided into 5000 each >>>>>>>>>>>> from above mri_glmfit, i got two files >>>>>>>>>>>> starting with csd1* .csd >>>>>>>>>>>> and >>>>>>>>>>>> csd2*.csd. >>>>>>>>>>>> Next one is >>>>>>>>>>>> mri_surfcluster, >>>>>>>>>>>> mri_surfcluster --src >>>>>>>>>>>> contrastname/sig.mgh --csd csd1* .csd >>>>>>>>>>>> --csd >>>>>>>>>>>> csd2* >>>>>>>>>>>> ..csd --sum <text summary file --sum >>>>>>>>>>>> <*.sum> --ocp <*.mgh> >>>>>>>>>>>> the output file *.sum can be opened >>>>>>>>>>>> in text editor and *.mgh can >>>>>>>>>>>> be seen >>>>>>>>>>>> using tksurfer. Check the link above >>>>>>>>>>>> link for more details (i just >>>>>>>>>>>> followed that link when i did last >>>>>>>>>>>> month). >>>>>>>>>>>> let me know if you get into more >>>>>>>>>>>> problems. >>>>>>>>>>>> pratap >>>>>>>>>>>>>> On 11/28/2007 07:43 PM, Alex >>>>>>>>>>>>>> Fornito wrote: >>>>>>>>>>>>>>> Hi, >>>>>>>>>>>>>>> I have run qdec for a simple >>>>>>>>>>>>>>> contrast comparing thickness >>>>>>>>>>>>>>> across >>>>>>>>>>>>>>> the >>>>>>>>>>>>>>> cortical surface between a >>>>>>>>>>>>>>> patient and control group. Not >>>>>>>>>>>>>>> much >>>>>>>>>>>>>>> survives vertex-wise FDR >>>>>>>>>>>>>>> correction, and I would like to >>>>>>>>>>>>>>> try >>>>>>>>>>>>>>> cluster-based thresholding. I >>>>>>>>>>>>>>> would like to make sure I >>>>>>>>>>>>>>> understand the >>>>>>>>>>>>>>> inputs to the command. Am I >>>>>>>>>>>>>>> correct on the following? >>>>>>>>>>>>>>> --in = the signifcance values >>>>>>>>>>>>>>> (i.e., contrast_name.sig.mgh >>>>>>>>>>>>>>> file) >>>>>>>>>>>>>>> --thmin = the vertexwise >>>>>>>>>>>>>>> threshold for determining >>>>>>>>>>>>>>> clusters, >>>>>>>>>>>>>>> where 2 >>>>>>>>>>>>>>> corresponds to p=.01 >>>>>>>>>>>>>>> --minarea = the cluster extent >>>>>>>>>>>>>>> threshold - Am I correct in >>>>>>>>>>>>>>> assuming >>>>>>>>>>>>>>> this should not be smaller than >>>>>>>>>>>>>>> the smoothing kernel? >>>>>>>>>>>>>>> When I run the command below, I >>>>>>>>>>>>>>> get the following output. >>>>>>>>>>>>>>> Only one >>>>>>>>>>>>>>> (whole hemi) cluster is >>>>>>>>>>>>>>> identified. I'm not sure if its >>>>>>>>>>>>>>> a >>>>>>>>>>>>>>> problem in >>>>>>>>>>>>>>> my command line, or with my >>>>>>>>>>>>>>> data. Also, I seem to have the >>>>>>>>>>>>>>> --cwsig >>>>>>>>>>>>>>> flag wrong, but can't figure out >>>>>>>>>>>>>>> the error (appending .w >>>>>>>>>>>>>>> or .label to >>>>>>>>>>>>>>> the end of the output filename >>>>>>>>>>>>>>> does not change the error). >>>>>>>>>>>>>>> I greatly appreciate your help. >>>>>>>>>>>>>>> mri_surfcluster --in >>>>>>>>>>>>>>> qdec/MF_group_lh/contrasts.sig.mgh >>>>>>>>>>>>>>> --subject >>>>>>>>>>>>>>> fsaverage --hemi lh --surf white >>>>>>>>>>>>>>> --annot aparc --sign abs >>>>>>>>>>>>>>> --thmin 2 >>>>>>>>>>>>>>> --minarea 25 --sum >>>>>>>>>>>>>>> stats/qdec_run/cluster/summary.txt --o >>>>>>>>>>>>>>> stats/qdec_run/cluster/cluster_output --cwsig >>>>>>>>>>>>>>> stats/qdec_run/cluster/cwsig -- >>>>>>>>>>>>>>> olab >>>>>>>>>>>>>>> stats/qdec_run/cluster/MF_group_lh_thk >>>>>>>>>>>>>>> thsign = abs, id = 0 >>>>>>>>>>>>>>> version $Id: mri_surfcluster.c,v >>>>>>>>>>>>>>> 1.39 2007/07/31 00:34:19 greve >>>>>>>>>>>>>>> Exp $ >>>>>>>>>>>>>>> hemi = lh >>>>>>>>>>>>>>> srcid = >>>>>>>>>>>>>>> qdec/MF_group_lh/contrasts.sig.mgh paint >>>>>>>>>>>>>>> srcsubjid = fsaverage >>>>>>>>>>>>>>> srcsurf = white >>>>>>>>>>>>>>> srcframe = 0 >>>>>>>>>>>>>>> thsign = abs >>>>>>>>>>>>>>> thmin = 2 >>>>>>>>>>>>>>> thmax = -1 >>>>>>>>>>>>>>> fdr = -1 >>>>>>>>>>>>>>> minarea = 25 >>>>>>>>>>>>>>> xfmfile = talairach.xfm >>>>>>>>>>>>>>> nth = -1 >>>>>>>>>>>>>>> outid = >>>>>>>>>>>>>>> stats/qdec_run/cluster/cluster_output paint >>>>>>>>>>>>>>> sumfile = >>>>>>>>>>>>>>> stats/run2/cluster/summary.txt >>>>>>>>>>>>>>> subjectsdir >>>>>>>>>>>>>>> = /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>>>>>> subjects_cann >>>>>>>>>>>>>>> FixMNI = 1 >>>>>>>>>>>>>>> ------------- XFM matrix >>>>>>>>>>>>>>> (RAS2RAS) --------------- >>>>>>>>>>>>>>> /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>>>>>> subjects_cann/fsaverage/ >>>>>>>>>>>>>>> mri/transforms/talairach.xfm >>>>>>>>>>>>>>> 1.000 0.000 0.000 0.000; >>>>>>>>>>>>>>> 0.000 1.000 0.000 0.000; >>>>>>>>>>>>>>> 0.000 0.000 1.000 0.000; >>>>>>>>>>>>>>> 0.000 0.000 0.000 1.000; >>>>>>>>>>>>>>> -------------------------------------------------- >>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>> Reading source surface >>>>>>>>>>>>>>> /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>>>>>> subjects_cann/fsaverage/ >>>>>>>>>>>>>>> surf/lh.white >>>>>>>>>>>>>>> reading group avg surface area >>>>>>>>>>>>>>> 822 cm^2 from file >>>>>>>>>>>>>>> Reading in average area >>>>>>>>>>>>>>> /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>>>>>> subjects_cann/fsaverage/ >>>>>>>>>>>>>>> surf/lh.white.avg.area.mgh >>>>>>>>>>>>>>> Done reading source surface >>>>>>>>>>>>>>> Reading annotation >>>>>>>>>>>>>>> /data/kang/work/struct/alex/freesurfer/ >>>>>>>>>>>>>>> subjects_cann/fsaverage/ >>>>>>>>>>>>>>> label/lh.aparc.annot >>>>>>>>>>>>>>> reading colortable from >>>>>>>>>>>>>>> annotation file... >>>>>>>>>>>>>>> colortable with 35 entries read >>>>>>>>>>>>>>> (originally >>>>>>>>>>>>>>> /space/amaebi/26/users/buckner_cortical_atlas/ >>>>>>>>>>>>>>> scripts/ >>>>>>>>>>>>>>> colortable_final.txt) >>>>>>>>>>>>>>> Computing metric properties >>>>>>>>>>>>>>> Loading source values >>>>>>>>>>>>>>> number of voxels in search space >>>>>>>>>>>>>>> = 163842 >>>>>>>>>>>>>>> Done loading source values >>>>>>>>>>>>>>> (nvtxs = 163842) >>>>>>>>>>>>>>> overall max = 43.1907 at vertex >>>>>>>>>>>>>>> 101931 >>>>>>>>>>>>>>> overall min = 7.66111 at vertex >>>>>>>>>>>>>>> 28089 >>>>>>>>>>>>>>> surface nvertices 163842 >>>>>>>>>>>>>>> surface area 65416.985991 >>>>>>>>>>>>>>> surface area 65416.985976 >>>>>>>>>>>>>>> NOT Adjusting threshold for 1- >>>>>>>>>>>>>>> tailed test >>>>>>>>>>>>>>> Searching for Clusters ... >>>>>>>>>>>>>>> thmin=2.000000 (2.000000), >>>>>>>>>>>>>>> thmax=-1.000000 (-1), >>>>>>>>>>>>>>> thsignid=0, >>>>>>>>>>>>>>> minarea=25.000000 >>>>>>>>>>>>>>> Found 1 clusters >>>>>>>>>>>>>>> Max cluster size 103339.460938 >>>>>>>>>>>>>>> INFO: fixing MNI talairach >>>>>>>>>>>>>>> coordinates >>>>>>>>>>>>>>> Saving thresholded output to >>>>>>>>>>>>>>> stats/qdec_run/cluster/cluster_output >>>>>>>>>>>>>>> avg = 35.029, stdev = 4.669, min >>>>>>>>>>>>>>> = 7.661, max = 43.191 >>>>>>>>>>>>>>> Saving cluster pval >>>>>>>>>>>>>>> stats/qdec_run/cluster/cwsig >>>>>>>>>>>>>>> unknown file type for file >>>>>>>>>>>>>>> (stats/qdec_run/cluster/cwsig) >>>>>>>>>>>>>>> LabelWrite: saving to >>>>>>>>>>>>>>> stats/qdec_run/cluster/ >>>>>>>>>>>>>>> MF_group_lh_thk-0001.label >>>>>>>>>>>>>>> Alex Fornito >>>>>>>>>>>>>>> JN Peters Research Fellow >>>>>>>>>>>>>>> Melbourne Neuropsychiatry Centre >>>>>>>>>>>>>>> Department of Psychiatry >>>>>>>>>>>>>>> The University of Melbourne >>>>>>>>>>>>>>> Postal address: >>>>>>>>>>>>>>> Melbourne Neuropsychiatry Centre >>>>>>>>>>>>>>> National Neuroscience Facility >>>>>>>>>>>>>>> Levels 2 & 3, 161 Barry St >>>>>>>>>>>>>>> Carlton South Vic 3053 Australia >>>>>>>>>>>>>>> Ph: +61 3 8344 1861 >>>>>>>>>>>>>>> Fax: +61 3 9348 0469 >>>>>>>>>>>>>>> fornitoa@unimelb.edu.au >>>>>>>>>>>>>>> mailto:fornitoa@unimelb.edu.au >>>>>>>>>>>>>>> -------------------------------------------------- >>>>>>>>>>>>>>> ---- ------------- >>>>>>>>>>>>>>> ----- >>>>>>>>>>>>>>> _______________________________________________ >>>>>>>>>>>>>>> Freesurfer mailing list >>>>>>>>>>>>>>> Freesurfer@nmr.mgh.harvard.edu >>>>>>>>>>>>>>> mailto:Freesurfer@nmr.mgh.harvard.edu >>>>>>>>>>>>>>> https://mail.nmr.mgh.harvard.edu/mailman/ >>>>>>>>>>>>>>> listinfo/ freesurfer >>>>>>>>>>>>> _______________________________________________ >>>>>>>>>>>>> Freesurfer mailing list >>>>>>>>>>>>> Freesurfer@nmr.mgh.harvard.edu >>>>>>>>>>>>> mailto:Freesurfer@nmr.mgh.harvard.edu >>>>>>>>>>>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/ >>>>>>>>>>>>> freesurfer >>>>>>>>>>> Alex Fornito >>>>>>>>>>> JN Peters Research Fellow >>>>>>>>>>> Melbourne Neuropsychiatry Centre >>>>>>>>>>> Department of Psychiatry >>>>>>>>>>> The University of Melbourne >>>>>>>>>>> Postal address: >>>>>>>>>>> Melbourne Neuropsychiatry Centre >>>>>>>>>>> National Neuroscience Facility >>>>>>>>>>> Levels 2 & 3, 161 Barry St >>>>>>>>>>> Carlton South Vic 3053 Australia >>>>>>>>>>> Ph: +61 3 8344 1861 >>>>>>>>>>> Fax: +61 3 9348 0469 >>>>>>>>>>> fornitoa@unimelb.edu.au >>>>>>>>>>> mailto:fornitoa@unimelb.edu.au >>>>>>>>> Alex Fornito >>>>>>>>> JN Peters Research Fellow >>>>>>>>> Melbourne Neuropsychiatry Centre >>>>>>>>> Department of Psychiatry >>>>>>>>> The University of Melbourne >>>>>>>>> Postal address: >>>>>>>>> Melbourne Neuropsychiatry Centre >>>>>>>>> National Neuroscience Facility >>>>>>>>> Levels 2 & 3, 161 Barry St >>>>>>>>> Carlton South Vic 3053 Australia >>>>>>>>> Ph: +61 3 8344 1861 >>>>>>>>> Fax: +61 3 9348 0469 >>>>>>>>> fornitoa@unimelb.edu.au >>>>>>>>> mailto:fornitoa@unimelb.edu.au >>>>>>>> -- >>>>>>>> Douglas N. Greve, Ph.D. >>>>>>>> MGH-NMR Center >>>>>>>> greve@nmr.mgh.harvard.edu >>>>>>>> Phone Number: 617-724-2358 >>>>>>>> Fax: 617-726-7422 >>>>>>>> In order to help us help you, please follow >>>>>>>> the steps in: >>>>>>>> surfer.nmr.mgh.harvard.edu/fswiki/BugReporting >>>>>>> Alex Fornito >>>>>>> JN Peters Research Fellow >>>>>>> Melbourne Neuropsychiatry Centre >>>>>>> Department of Psychiatry >>>>>>> The University of Melbourne >>>>>>> Postal address: >>>>>>> Melbourne Neuropsychiatry Centre >>>>>>> National Neuroscience Facility >>>>>>> Levels 2 & 3, 161 Barry St >>>>>>> Carlton South Vic 3053 Australia >>>>>>> Ph: +61 3 8344 1861 >>>>>>> Fax: +61 3 9348 0469 >>>>>>> fornitoa@unimelb.edu.au >>>>>>> mailto:fornitoa@unimelb.edu.au >>>>>>> <Pic.png>_______________________________________________ >>>>>>> Freesurfer mailing list >>>>>>> Freesurfer@nmr.mgh.harvard.edu >>>>>>> mailto:Freesurfer@nmr.mgh.harvard.edu >>>>>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/ >>>>>>> freesurfer >>>>>> Alex Fornito >>>>>> JN Peters Research Fellow >>>>>> Melbourne Neuropsychiatry Centre >>>>>> Department of Psychiatry >>>>>> The University of Melbourne >>>>>> Postal address: >>>>>> Melbourne Neuropsychiatry Centre >>>>>> National Neuroscience Facility >>>>>> Levels 2 & 3, 161 Barry St >>>>>> Carlton South Vic 3053 Australia >>>>>> Ph: +61 3 8344 1861 >>>>>> Fax: +61 3 9348 0469 >>>>>> fornitoa@unimelb.edu.au >>>>>> mailto:fornitoa@unimelb.edu.au >>>>> -- >>>>> Douglas N. Greve, Ph.D. >>>>> MGH-NMR Center >>>>> greve@nmr.mgh.harvard.edu >>>>> Phone Number: 617-724-2358 >>>>> Fax: 617-726-7422 >>>>> In order to help us help you, please follow the >>>>> steps in: >>>>> surfer.nmr.mgh.harvard.edu/fswiki/BugReporting >>> -- >>> Douglas N. Greve, Ph.D. >>> MGH-NMR Center >>> greve@nmr.mgh.harvard.edu >>> Phone Number: 617-724-2358 >>> Fax: 617-726-7422 >>> In order to help us help you, please follow the steps >>> in: >>> surfer.nmr.mgh.harvard.edu/fswiki/BugReporting >>> _______________________________________________ >>> Freesurfer mailing list >>> Freesurfer@nmr.mgh.harvard.edu >>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer >> Alex Fornito >> JN Peters Research Fellow >> Melbourne Neuropsychiatry Centre >> Department of Psychiatry >> The University of Melbourne >> Postal address: >> Melbourne Neuropsychiatry Centre >> National Neuroscience Facility >> Levels 2 & 3, 161 Barry St >> Carlton South Vic 3053 Australia >> Ph: +61 3 8344 1861 >> Fax: +61 3 9348 0469 >> fornitoa@unimelb.edu.au > -- > Douglas N. Greve, Ph.D. > MGH-NMR Center > greve@nmr.mgh.harvard.edu > Phone Number: 617-724-2358 > Fax: 617-726-7422 > In order to help us help you, please follow the steps in: > surfer.nmr.mgh.harvard.edu/fswiki/BugReporting Alex Fornito JN Peters Research Fellow Melbourne Neuropsychiatry Centre Department of Psychiatry The University of Melbourne Postal address: Melbourne Neuropsychiatry Centre National Neuroscience Facility Levels 2 & 3, 161 Barry St Carlton South Vic 3053 Australia Ph: +61 3 8344 1861 Fax: +61 3 9348 0469 fornitoa@unimelb.edu.au
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 In order to help us help you, please follow the steps in: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Alex Fornito JN Peters Research Fellow Melbourne Neuropsychiatry Centre Department of Psychiatry The University of Melbourne
Postal address: Melbourne Neuropsychiatry Centre National Neuroscience Facility Levels 2 & 3, 161 Barry St Carlton South Vic 3053 Australia
Ph: +61 3 8344 1861 Fax: +61 3 9348 0469
fornitoa@unimelb.edu.au
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422
In order to help us help you, please follow the steps in: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Alex Fornito JN Peters Research Fellow Melbourne Neuropsychiatry Centre Department of Psychiatry The University of Melbourne
Postal address: Melbourne Neuropsychiatry Centre National Neuroscience Facility Levels 2 & 3, 161 Barry St Carlton South Vic 3053 Australia
Ph: +61 3 8344 1861 Fax: +61 3 9348 0469
fornitoa@unimelb.edu.au
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Alex Fornito JN Peters Research Fellow Melbourne Neuropsychiatry Centre Department of Psychiatry The University of Melbourne
Postal address: Melbourne Neuropsychiatry Centre National Neuroscience Facility Levels 2 & 3, 161 Barry St Carlton South Vic 3053 Australia
Ph: +61 3 8344 1861 Fax: +61 3 9348 0469
fornitoa@unimelb.edu.au