[Freesurfer] FDR correction

2018-11-19 Thread Laura Ferrero
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Hi,
I performed an statistical analysis comparing autism group with control group 
using volume/area and thickness measures. I found significant differences in 
some regions but they were not significant after FDR correction. The majority 
of p-values are really high and only some of them are small, I would like to 
know is that can affect the result. Additionally, I read that it is interesting 
to do a power analysis to know the amount of difference that can be detected 
based on the sample size and I would like to know if it is a good approach to 
follow trying to explain why some results were not significant after multiple 
comparison correction. 
Thank you,
Laura

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[Freesurfer] Power analysis

2018-12-11 Thread Laura Ferrero
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Hi, 
I want to perform a power analysis and I read that I need 3 of 4 things:
1. Effect size (mean/std)
2. False positive rate
3. Number of subjects
4. True positive rate

I also read that the effect size can be calculated using gamma.mgh and 
gammavar.mgh files but I do not know how to open them in order to get the 
numbers.

Thank you,
Laura

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Re: [Freesurfer] Power analysis

2018-12-11 Thread Laura Ferrero
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Dear Douglas,

I performed the statistical analysis using stats files so I do not have vertex 
information, I assume it will be cortical regions information. Is the approach 
to read them the same?
Thank you,
Laura




> El 11 dic 2018, a las 16:54, Greve, Douglas N.,Ph.D.  
> escribió:
> 
> The gamma and gammavar files are vertex-wise values. You can load them 
> in matlab with something like
> g = MRIread('gamma.mgh');
> gv = MRIread('gammavar.mgz');
> but you will need the vertex that you are interested in (or do for all 
> vertices).
> You can use fast_glm_power.m in the FSFAST toolbox to compute the power 
> (requires stats toolbox).
> 
> 
> On 12/11/18 6:39 AM, Laura Ferrero wrote:
>> External Email - Use Caution
>> 
>> Hi,
>> I want to perform a power analysis and I read that I need 3 of 4 things:
>> 1. Effect size (mean/std)
>> 2. False positive rate
>> 3. Number of subjects
>> 4. True positive rate
>> 
>> I also read that the effect size can be calculated using gamma.mgh and 
>> gammavar.mgh files but I do not know how to open them in order to get the 
>> numbers.
>> 
>> Thank you,
>> Laura
>> 
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Re: [Freesurfer] Power analysis

2018-12-12 Thread Laura Ferrero
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After using MRIread from Matlab in file gamma.mgh, I obtain the following:
mri = 

  struct with fields:

   srcbext: ''
analyzehdr: []
  bhdr: []
   vol: []
 fspec: 'gamma.mgh'
   pwd: '/Users/lauraferrero/Documents/MATLAB'
flip_angle: 0
tr: 0
te: 0
ti: 0
  vox2ras0: [4×4 double]
   volsize: [1 34 1]
height: 1
 width: 34
 depth: 1
   nframes: 1
   vox2ras: [4×4 double]
   nvoxels: 34
 xsize: 1
 ysize: 1
 zsize: 1
   x_r: 1
   x_a: 0
   x_s: 0
   y_r: 0
   y_a: 1
   y_s: 0
   z_r: 0
   z_a: 0
   z_s: 1
   c_r: 0
   c_a: 0
   c_s: 0
  vox2ras1: [4×4 double]
   Mdc: [3×3 double]
volres: [1 1 1]
tkrvox2ras: [4×4 double]

But I do not know which field corresponds to the mean for the effect size.
Regards,
Laura


> El 11 dic 2018, a las 18:21, Laura Ferrero  
> escribió:
> 
> Dear Douglas,
> 
> I performed the statistical analysis using stats files so I do not have 
> vertex information, I assume it will be cortical regions information. Is the 
> approach to read them the same?
> Thank you,
> Laura
> 
> 
> 
> 
>> El 11 dic 2018, a las 16:54, Greve, Douglas N.,Ph.D. 
>>  escribió:
>> 
>> The gamma and gammavar files are vertex-wise values. You can load them 
>> in matlab with something like
>> g = MRIread('gamma.mgh');
>> gv = MRIread('gammavar.mgz');
>> but you will need the vertex that you are interested in (or do for all 
>> vertices).
>> You can use fast_glm_power.m in the FSFAST toolbox to compute the power 
>> (requires stats toolbox).
>> 
>> 
>> On 12/11/18 6:39 AM, Laura Ferrero wrote:
>>>External Email - Use Caution
>>> 
>>> Hi,
>>> I want to perform a power analysis and I read that I need 3 of 4 things:
>>> 1. Effect size (mean/std)
>>> 2. False positive rate
>>> 3. Number of subjects
>>> 4. True positive rate
>>> 
>>> I also read that the effect size can be calculated using gamma.mgh and 
>>> gammavar.mgh files but I do not know how to open them in order to get the 
>>> numbers.
>>> 
>>> Thank you,
>>> Laura
>>> 
>>> ___
>>> Freesurfer mailing list
>>> Freesurfer@nmr.mgh.harvard.edu
>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>> 
>> 
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> 


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[Freesurfer] Power analysis

2018-12-14 Thread Laura Ferrero
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I performed a two tailed t-test analysis using stats data and after the 
analysis, results were corrected for multiple comparisons using FDR. Now, I 
want to perform a power analysis and  I have some doubts:
1. Gammavar is the variance or the standard deviation (i.e., effect size should 
be gamma/gammavar or gamma/sqrt(gammavar)).
2. The alpha value to be used should be the original alpha (0,05) or the new 
one obtained after FDR.

Thank you,
Laura

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[Freesurfer] Multiple comparisons

2017-03-20 Thread Laura Ferrero Montes

   Dear FS team,
  I would like to correct for multiple comparisons after I run  
command-line GLM analysis on stats tables. I would like to make a  
second level analysis between a control group and an autism group. I  
would like to know if  there is a command-line in FreeSurfer or if   
there is any program or toolkit in Matlab that allows to do that.

Thank you,
Laura

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Re: [Freesurfer] Statistical analysis

2017-04-16 Thread Laura Ferrero Montes



   Dear FS team,
   I would like to make an analysis between a Patients Group and a  
Control Group. This study is focused on identifying if there are  
differences in volume between both groups.  I want to regress out the  
effects of gender, age and IQ.

My designed matrix has the following structure:
GroupDescriptorFile1
Class PatientMale
Class PatientFemale
Class ControlMale
Class ControlFemale
Variables   Age IQ
Input  subject1 PatientMale 25  110
Input subject2  ControlMale 30  90

I was thinking about a Contrast Matrix like this:
0.5 0.5 -0.5-0.50   0   0   0   0   0   
0   0
However, looking for some information I discovered that it only  
compares volume of two groups at the naissance because it is only  
comparing intercepts. Therefore, how I could make a comparison between  
volumes of two groups in general?
Thank you,
Laura



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Re: [Freesurfer] Statistical analysis

2017-04-19 Thread Laura Ferrero Montes

  In the case that exists an interaction between group and covariate.  
How a test comparing the mean volume of each group, like SPM  does,  
could be done? I do not want to know if the different groups evolve in  
a different way with covariates, I only want to compare if groups have  
different volume in some regions of the brain. Or FreeSurfer does not  
allow to do a comparison like that?
  Thank you






Douglas Greve  escribió:

> You should first test whether there is an interaction between group and
> covariate. If there is non, then you can keep the same FSGD file but run
> it with DOSS (different offset, same slope). The "same slope" means that
> the difference will be the same regardless of the value of the
> covariate. You will need to make a different contrast. See
> https://surfer.nmr.mgh.harvard.edu/fswiki/DodsDoss
>
> for more info
>
>
> On 4/16/17 7:04 AM, Laura Ferrero Montes wrote:
>>
>>
>> Dear FS team,
>> I would like to make an analysis between a Patients Group and a
>> Control Group. This study is focused on identifying if there are
>> differences in volume between both groups.  I want to regress out the
>> effects of gender, age and IQ.
>>
>> My designed matrix has the following structure:
>> GroupDescriptorFile1
>> Class PatientMale
>> Class PatientFemale
>> Class ControlMale
>> Class ControlFemale
>> VariablesAge IQ
>> Input  subject1  PatientMale 25  110
>> Input subject2   ControlMale 30  90
>>
>> I was thinking about a Contrast Matrix like this:
>> 0.5  0.5 -0.5-0.50   0   0   0   0   0   
>> 0   0
>> However, looking for some information I discovered that it only
>> compares volume of two groups at the naissance because it is only
>> comparing intercepts. Therefore, how I could make a comparison between
>> volumes of two groups in general?
>> Thank you,
>> Laura
>>
>>
>>
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>>
>
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Re: [Freesurfer] Statistical analysis

2017-04-22 Thread Laura Ferrero Montes
Dear FS team,

Thank you very much for your help. Just a few more questions.

I want to perform a statistical analysis between two groups:controls  
and patients, using age and IQ as covariates. First I have to test if  
there is an interaction between group and covariate using DODS.

My questions are:

Q1) Do I have to test age and IQ separately, or together?

Q2) In case that there is not interaction in any of the covariates,  
can I use the same FSGD file but do I have tu run it as DOSS? How it  
could be done?
I would appreciate if you could give me some hints or examples about  
the matrices and contrast files that I must use.

Thank you,
All the best,

Laura




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[Freesurfer] Statistical analysis

2017-05-07 Thread Laura Ferrero Montes

Dear FS team,

Thank you very much for your help. Just a few more questions.

I want to perform a statistical analysis between two groups:controls  
and patients, using age and IQ as covariates. First I have to test if  
there is an interaction between group and covariate using DODS.

My questions are:

Q1) Do I have to test age and IQ separately, or together?

Q2) In case that there is not interaction in any of the covariates,  
can I use the same FSGD file but do I have tu run it as DOSS? How it  
could be done?
I would appreciate if you could give me some hints or examples about  
the matrices and contrast files that I must use.

Thank you,
All the best,

Laura
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Re: [Freesurfer] Statistical analysis

2017-05-08 Thread Laura Ferrero Montes
Hi Joost,
Thank you for the information, that course would be great. However, I  
would need to know if the analysis I am doing is OK to continue with  
my study.




Joost Janssen  escribió:

> Hi Laura,
>
> There is an upcoming FreeSurfer course in Barcelona this summer. Please
> contact Susana Carmona
> susannacarm...@gmail.com
>
> Op 7 mei 2017 19:17 schreef "Laura Ferrero Montes" :
>
>>
>> Dear FS team,
>>
>> Thank you very much for your help. Just a few more questions.
>>
>> I want to perform a statistical analysis between two groups:controls
>> and patients, using age and IQ as covariates. First I have to test if
>> there is an interaction between group and covariate using DODS.
>>
>> My questions are:
>>
>> Q1) Do I have to test age and IQ separately, or together?
>>
>> Q2) In case that there is not interaction in any of the covariates,
>> can I use the same FSGD file but do I have tu run it as DOSS? How it
>> could be done?
>> I would appreciate if you could give me some hints or examples about
>> the matrices and contrast files that I must use.
>>
>> Thank you,
>> All the best,
>>
>> Laura
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>>
>>
>> The information in this e-mail is intended only for the person to whom it
>> is
>> addressed. If you believe this e-mail was sent to you in error and the
>> e-mail
>> contains patient information, please contact the Partners Compliance
>> HelpLine at
>> http://www.partners.org/complianceline . If the e-mail was sent to you in
>> error
>> but does not contain patient information, please contact the sender and
>> properly
>> dispose of the e-mail.
>>
>>



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[Freesurfer] Multicenter studies

2017-05-08 Thread Laura Ferrero Montes
Dear FS team,
  In case I have data from different centers and I would like to do a  
group analysis between Patients and Controls, how different centers  
effects could be regressed out? Should I have to analyze if there is  
an interaction between center and group?
I have seen examples of continuous variables and groups but not in the  
case of categorical ones.
Thank you,
Laura
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Re: [Freesurfer] Multicenter studies

2017-05-09 Thread Laura Ferrero Montes


  Thank you for the information. I just want to be sure if I have  
understood it properly.
  If I had two groups and two sites, my design matrix would be like:

GroupDescriptorFile 1
Class PatientsGroup1
Class PatientsGroup2
Class ControlsGroup1
Class ControlsGroup2

  If I want to test for the effect of group, contrast matrix would be:
  0.5 -0.5 0.5 -0.5

  If I want to test for the effect of site, contrast matrix would be:
  0.5 0.5 -0.5 -0.5

  Finally, in case of interaction test, how contrast matrix would be?





Douglas N Greve  escribió:

> You should make sure to have a balanced design (ie, approx the same pats
> and cons at each site). Then include site as a regressor, ie, if you had
> two groups and two sites, you would have four regressors.  You could
> then test for the effect of group, the effect of site, and the
> interaction. If there is an interaction, then it is hard to interpret
> the differences between groups.
>



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[Freesurfer] Error reading FSGD file

2017-05-15 Thread Laura Ferrero Montes

  Dear FS team,
  I was trying to do an analylisis  using mri_glmfit command. The  
analysis consists of two groups of patients and I wanted to know if  
there was an interaction between age and group. I wrote the following  
lines:

  mri_glmfit --table table1.txt --fsgd Descriptor.txt --C C1.txt  
--glmfir firstanalysis.glmdir


  - table1 was obtained afther command aparc2stats
  - C1 is the contrast matrix: 0 0 1 -1 0 0
  - Descriptor.txt if the design matrix:

GroupDescriptorFile 1
Title PatientsControls
Class Patient
Class Control
Variables Age IQ
Input   NYU_0050985 Patient 13.09   90
Input   NYU_0051099 Control 13.72   87
Input   NYU_0051021 Patient 23.66   112
Input   NYU_0051067 Control 23.65   116
Input   NYU_0050996 Patient 15.81   100
Input   NYU_0051104 Control 15.27   104
 .
 .
 .


   I got this error:
   gdfRead(): reading Descriptor.txt
   ERROR: fio_FileHasCarriageReturn(): cannot open Descriptor.txt


   I created this matrix using text editor in Linux. Would yo know  
what is the problem?
   Thank you

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[Freesurfer] Multiple comparisons

2017-05-31 Thread Laura Ferrero Montes

  Dear FS team,
  I was doing a statistical analysis using metrics that are provided  
in stats files like volume of different regions, so I am not doing a  
voxel based morphometry. It is necessary to correct for multiple  
comparisons or as I am only comparing the measures of the regions  
between to grups, it is not ?

  Thank you in advance
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[Freesurfer] aseg.stats

2017-06-11 Thread Laura Ferrero Montes

   Dear FS team,
  I would like to obtain Total Brain Volume using metrics provided in  
aseg.stats. I have the idea of obtaining it as a
  result of white matter + grey matter.

  WM is provided in CorticalWhiteMatter and GM could be obtained with:
TotalGreyMatter - RightCerebellumCortex - LeftCerebellumCortex.
  Would it be correct?

  Thank you
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