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Hi Kersten,
No problem at al and thank you for your reply. While running my correction for multiple comparisons I store the df associated with each contrast vector using the following:
[~,~,dflh] = find(F_lhstats.df(2,:)); [~,~,dfrh] = find(F_rhstats.df(2,:)); dfmodelh = {floor(mode(dflh))}; dfmoderh = {floor(mode(dfrh))};
So far the dfmodelh and dfmoderh have been identical. I then calculate the effect size for each cluster using the following steps: 1. Derive the p-value from the Max threshold ('Max'), where p = 10 to the power of -abs(Max) 2. Calculate the t-value associated with this p-value, using the relevant df for this contrast 3. Calculate cohen's d using 't' and 'df', where d = (t*2)/(sqrt(df))
When the Max threshold is listed as -inf I cannot complete these calculations. Can you suggest an alternate method for generating effect sizes for these clusters?
Kind regards,
Bronwyn Overs
Research Assistant
Neuroscience Research Australia Margarete Ainsworth Building Barker Street Randwick Sydney NSW 2031 Australia M 0411 308 769 T +61 2 9399 1725
[ http://neura.edu.au/ | neura.edu.au ]
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From: "Kersten Diers, DZNE" Kersten.Diers@dzne.de To: "Freesurfer support list" freesurfer@nmr.mgh.harvard.edu Sent: Thursday, November 28, 2019 12:29:18 AM Subject: Re: [Freesurfer] Max threshold marked as '-inf' in cluster summary file
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Hi Bronwyn, Doug,
sorry - I missed the other mail from two weeks ago (and have been absent for a few days), but I'm able to take a look now.
You mention that your goal is to calculate effect sizes. Could you briefly let us know how you are planning to do it - this would help me to better understand the issue.
Thanks,
Kersten
On Di, 2019-11-26 at 23:14 +0000, Greve, Douglas N.,Ph.D. wrote:
can you send the cluster summary file?
On 11/24/2019 7:09 PM, Bronwyn Overs wrote:
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External Email - Use Caution Hi Kersten,
Following on from Douglas's reply, you may remember my analysis as I forwarded you some files in October (see [ https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg64148.html | https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg64148.html ] ). I followed your suggestions of removing the '--thmax 5' argument form 'mri_surfcluster', and now the labels generated by 'mri_label2label' overlap perfectly with the significance maps from the LME. However, now my largest clusters have a maximum threshold of '-inf' in my cluster summary files. Do you have any idea how to get around this problem so that I can use my max threshold values to calculate cluster-wise effect sizes?
Kind regards,
Bronwyn Overs
Research Assistant
Neuroscience Research Australia Margarete Ainsworth Building Barker Street Randwick Sydney NSW 2031 Australia M 0411 308 769 T +61 2 9399 1725
[ http://neura.edu.au/ | neura.edu.au ]
[ https://twitter.com/neuraustralia | Twitter ] | [ https://www.facebook.com/NeuroscienceResearchAustralia | Facebook ] | [ http://www.neura.edu.au/help-research/subscribe | Subscribe ]
From: "Greve, Douglas N.,Ph.D." [ mailto:DGREVE@mgh.harvard.edu | DGREVE@mgh.harvard.edu ] To: "Freesurfer support list" [ mailto:freesurfer@nmr.mgh.harvard.edu | freesurfer@nmr.mgh.harvard.edu ] , "Kersten Diers, DZNE" [ mailto:Kersten.Diers@dzne.de | Kersten.Diers@dzne.de ] Sent: Thursday, November 14, 2019 4:23:12 AM Subject: Re: [Freesurfer] Max threshold marked as '-inf' in cluster summary file
I'll have to leave this one for Kersten as it appears that the LME stuff is generating and inf value
On 11/12/19 7:05 PM, Bronwyn Overs wrote:
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Hi Douglas,
Yes I have looked at it in Freeview and I have attached a screenshot for your reference.
The /fsdata/lme/thickness/rh.thickness.B1B7.mgh file was generated with a mass-univariate spatiotemporal model using 'lme_mass_fit_EMinit' and then FDR correction was applied across both hemispheres (lme_mass_FDR). I have provided analysis details and syntax below. The B1B7 contrast represents the affect of years in cases.
Sample: Our sample includes 112 controls subjects, and 106 cases. All subjects are aged between 12 and 30 years. 153 or these subjects have 2 time-points (77 control, 76 cases), while the remaining 65 individuals have only 1 MRI time-point. We also have mixed ethnicites - 165 Caucasians, 23 Asians, and 30 mixed (Asians-Caucasians).
The QDEC file contains the following 6 variables:
- Y (years between scans)
- A (baseline age)
- G (group, 1=case, 0=control)
- S (sex, 1=female, 0=male)
- E1 (Ethnicity 1, 1=asian, 0=other)
- E2 (Ethnicity 1, 1=mixed-asian-caucasian, 0=other)
Design matrix: [ones(length(M),1) M M(:,1).*M(:,3)] i.e. main effects for each of the qdec variables + an interaction term for years X group
DVs: Cortical thickness, area and volume
Model: Mass-univariate spatiotemporal model using 'lme_mass_fit_EMinit' CODE: % Read in surface files [Y,mri] = fs_read_Y(mgh); % Read in qdec file Qdec = fReadQdec(qdec); % Remove fsid from qdec Qdec = rmQdecCol(Qdec,1); % Store col 1 (fsid-base) in sID variable sID = Qdec(2:end,1); % Remove col 1 (fsid-base) from Qdec array Qdec = rmQdecCol(Qdec,1); % Convert Qdec to numeric matrix M M = Qdec2num(Qdec); % Sort data and evaluate design matrix [M,Y,ni] = sortData(M,1,Y,sID); X = eval([ones(length(M),1) M M(:,1).*M(:,3)]) % Compute vertex-wise temporal covariance estimates. [Th0, Re] = lme_mass_fit_EMinit(X,[1],Y,ni,cortex,3); %Segmentation and model fitting. [Rgs, RgMeans, stats] = fit(Th0, Re, [1], sphere, cortex, X, Y, ni); %Check surfaces. surfcomp(Th0, RgMeans, sphere, fig1, fig2)
Correction for multiple comparisons: FDR across both hemispheres CODE: P = [ F_lhstats.pval(lhcortex) F_rhstats.pval(rhcortex) ]; G = [ F_lhstats.sgn(lhcortex) F_rhstats.sgn(rhcortex) ]; [detvtx, sided_pval, pth] = lme_mass_FDR2(P,G,[],0.05,0); altfdr(r,2) = num2cell(abs(log10(lme_mass_FDR(P,0.05)))); pcor = -log10(pth); [~,~,dflh] = find(F_lhstats.df(2,:)); [~,~,dfrh] = find(F_rhstats.df(2,:)); dfmodelh(r,2) = {floor(mode(dflh))}; dfmoderh(r,2) = {floor(mode(dfrh))}; thrlh(r,2) = {pcor}; thrrh(r,2) = {pcor}; [~,dc] = size(detvtx); dvtx(r,2) = {dc};
Kind regards,
Bronwyn Overs
Research Assistant
Neuroscience Research Australia Margarete Ainsworth Building Barker Street Randwick Sydney NSW 2031 Australia *M* 0411 308 769 *T* +61 2 9399 1725
neura.edu.au [ http://neura.edu.au/ | http://neura.edu.au/ ]
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*From: *"Greve, Douglas N.,Ph.D." [ mailto:DGREVE@mgh.harvard.edu | DGREVE@mgh.harvard.edu ] *To: *"Freesurfer support list" [ mailto:freesurfer@nmr.mgh.harvard.edu |
freesurfer@nmr.mgh.harvard.edu ]
*Sent: *Wednesday, November 13, 2019 2:44:25 AM *Subject: *Re: [Freesurfer] Max threshold marked as '-inf' in cluster summary file
It looks like you have one gigantic cluster with a value of -inf at vertex 41. How did you generate /fsdata/lme/thickness/rh.thickness.B1B7.mgh ? Have you looked at it in freeview?
On 11/11/2019 7:39 PM, Bronwyn Overs wrote:
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Dear Freesurfer Mailing List,
I have completed an LME analysis in matlab and have generated a number of different cluster summary files for my various contrasts. In many of resulting cluster summary files the 'Max' value for the largest cluster which encompasses most of the brain surface is reported as infinity ('-inf'). Please find an example file attached. As I was hoping to use these values to generate effect size estimates, can you please tell me what alternate value I could substitute here for 'Max'?
Kind regards,
Bronwyn Overs
Research Assistant
Neuroscience Research Australia Margarete Ainsworth Building Barker Street Randwick Sydney NSW 2031 Australia *M* 0411 308 769 *T* +61 2 9399 1725
neura.edu.au [ http://neura.edu.au/ | http://neura.edu.au/ ]
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