Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design: ----------------------------- GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21 ------------------------------------------------ Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha
2014-02-20
charujing123
yes, they are, though you don't need to do the positive and negative contrasts because the sign is preserved doug
On 02/20/2014 12:47 AM, charujing123 wrote:
Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design:
GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21
Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha 2014-02-20
charujing123
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Hidoug and others, Thanks doug. I see.If I want to implement multiple regression, i.e. two EVs(score1 and score2) explain pial thickness, what contrast I should design for this. Thanks again. All the best. Rujing Zha
2014-02-21
charujing123
发件人：Douglas N Greve greve@nmr.mgh.harvard.edu 发送时间：2014-02-21 03:39 主题：Re: [Freesurfer] fsgdf and contrasts 收件人："freesurfer"freesurfer@nmr.mgh.harvard.edu 抄送：
yes, they are, though you don't need to do the positive and negative contrasts because the sign is preserved doug
On 02/20/2014 12:47 AM, charujing123 wrote:
Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design:
GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21
Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha 2014-02-20
charujing123
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422
Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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.
I'm not sure I understand. Your contrasts below are fine. What are you unsure about? doug
On 2/20/14 7:48 PM, charujing123 wrote:
Hidoug and others, Thanks doug. I see.If I want to implement multiple regression, i.e. two EVs(score1 and score2) explain pial thickness, what contrast I should design for this. Thanks again. All the best. Rujing Zha 2014-02-21
charujing123
*???:*Douglas N Greve greve@nmr.mgh.harvard.edu *????:*2014-02-21 03:39 *??:*Re: [Freesurfer] fsgdf and contrasts *???:*"freesurfer"freesurfer@nmr.mgh.harvard.edu *??:* yes, they are, though you don't need to do the positive and negative contrasts because the sign is preserved doug On 02/20/2014 12:47 AM, charujing123 wrote:
Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design:
GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21
Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha 2014-02-20
charujing123
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer 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.
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Hi doug and others, I want to perform correlation analysis,just one dependent variable and one independent variable. Previously I think the contrast(i.e.0 0 0.5 0.5 0 0) I design is for correlation between score1 and thickness. But yestoday I found this information http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G2V#Contrast6g1g2.age.mtx. It told me that "Null Hypothesis: does mean of group age slope differ from 0? Is there an average affect of age regressing out the effect of group and weight?". Regressing out the effect of group and weight represents this contrast is for multimple regression,not simple correlation between two varibles. I am confused. Doug, would you please tell me where I am wrong? Thanks. All the best. Rujing Zha.
2014-02-22
charujing123
发件人：Douglas Greve greve@nmr.mgh.harvard.edu 发送时间：2014-02-21 23:35 主题：Re: [Freesurfer] fsgdf and contrasts 收件人："freesurfer"freesurfer@nmr.mgh.harvard.edu 抄送：
I'm not sure I understand. Your contrasts below are fine. What are you unsure about? doug
On 2/20/14 7:48 PM, charujing123 wrote:
Hidoug and others, Thanks doug. I see.If I want to implement multiple regression, i.e. two EVs(score1 and score2) explain pial thickness, what contrast I should design for this. Thanks again. All the best. Rujing Zha
2014-02-21
charujing123
发件人：Douglas N Greve greve@nmr.mgh.harvard.edu 发送时间：2014-02-21 03:39 主题：Re: [Freesurfer] fsgdf and contrasts 收件人："freesurfer"freesurfer@nmr.mgh.harvard.edu 抄送：
yes, they are, though you don't need to do the positive and negative contrasts because the sign is preserved doug
On 02/20/2014 12:47 AM, charujing123 wrote:
Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design:
GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21
Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha 2014-02-20
charujing123
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422
Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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.
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
if you have multiple variables then you have to do multiple regression before testing the correlation doug
On 02/21/2014 09:35 PM, charujing123 wrote:
Hi doug and others, I want to perform correlation analysis,just one dependent variable and one independent variable. Previously I think the contrast(i.e.0 0 0.5 0.5 0 0) I design is for correlation between score1 and thickness. But yestoday I found this information http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G2V#Contrast6g1g2.age.mtx. It told me that "Null Hypothesis: does mean of group age slope differ from 0? Is there anaverage affect of age regressing out the effect of group and weight?". Regressing out the effect of group and weight represents this contrast is for multimple regression,not simple correlation between two varibles. I am confused. Doug, would you please tell me where I am wrong? Thanks. All the best. Rujing Zha. 2014-02-22
charujing123
*发件人：*Douglas Greve greve@nmr.mgh.harvard.edu *发送时间：*2014-02-21 23:35 *主题：*Re: [Freesurfer] fsgdf and contrasts *收件人：*"freesurfer"freesurfer@nmr.mgh.harvard.edu *抄送：*
I'm not sure I understand. Your contrasts below are fine. What are you unsure about? doug
On 2/20/14 7:48 PM, charujing123 wrote:
Hidoug and others, Thanks doug. I see.If I want to implement multiple regression, i.e. two EVs(score1 and score2) explain pial thickness, what contrast I should design for this. Thanks again. All the best. Rujing Zha 2014-02-21
charujing123
*发件人：*Douglas N Greve greve@nmr.mgh.harvard.edu *发送时间：*2014-02-21 03:39 *主题：*Re: [Freesurfer] fsgdf and contrasts *收件人：*"freesurfer"freesurfer@nmr.mgh.harvard.edu *抄送：* yes, they are, though you don't need to do the positive and negative contrasts because the sign is preserved doug On 02/20/2014 12:47 AM, charujing123 wrote:
Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design:
GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21
Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha 2014-02-20
charujing123
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer 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.
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Hi doug and others, Thanks doug. I can understand multiple regression. However there is no obvious relationship between these two variables. So I try to test correlation between thickness and these two variables. If I try to consider all subjects as one group, and test correlation between this one group thickness and one variable, can I design matrix like this :http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf1G1V#Contrast2.28slope.mtx.29 ? Thanks. All the best. Rujing Zha
2014-02-25
charujing123
发件人：Douglas N Greve greve@nmr.mgh.harvard.edu 发送时间：2014-02-25 00:25 主题：Re: [Freesurfer] fsgdf and contrasts 收件人："charujing123"charujing123@163.com 抄送："freesurfer@nmr.mgh.harvard.edu"freesurfer@nmr.mgh.harvard.edu
if you have multiple variables then you have to do multiple regression before testing the correlation doug
On 02/21/2014 09:35 PM, charujing123 wrote:
Hi doug and others, I want to perform correlation analysis,just one dependent variable and one independent variable. Previously I think the contrast(i.e.0 0 0.5 0.5 0 0) I design is for correlation between score1 and thickness. But yestoday I found this information http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G2V#Contrast6g1g2.age.mtx. It told me that "Null Hypothesis: does mean of group age slope differ from 0? Is there anaverage affect of age regressing out the effect of group and weight?". Regressing out the effect of group and weight represents this contrast is for multimple regression,not simple correlation between two varibles. I am confused. Doug, would you please tell me where I am wrong? Thanks. All the best. Rujing Zha. 2014-02-22
charujing123
*发件人：*Douglas Greve greve@nmr.mgh.harvard.edu *发送时间：*2014-02-21 23:35 *主题：*Re: [Freesurfer] fsgdf and contrasts *收件人：*"freesurfer"freesurfer@nmr.mgh.harvard.edu *抄送：*
I'm not sure I understand. Your contrasts below are fine. What are you unsure about? doug
On 2/20/14 7:48 PM, charujing123 wrote:
Hidoug and others, Thanks doug. I see.If I want to implement multiple regression, i.e. two EVs(score1 and score2) explain pial thickness, what contrast I should design for this. Thanks again. All the best. Rujing Zha 2014-02-21
charujing123
*发件人：*Douglas N Greve greve@nmr.mgh.harvard.edu *发送时间：*2014-02-21 03:39 *主题：*Re: [Freesurfer] fsgdf and contrasts *收件人：*"freesurfer"freesurfer@nmr.mgh.harvard.edu *抄送：* yes, they are, though you don't need to do the positive and negative contrasts because the sign is preserved doug On 02/20/2014 12:47 AM, charujing123 wrote:
Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design:
GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21
Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha 2014-02-20
charujing123
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer 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.
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422
Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Yes doug
On 2/24/14 8:32 PM, charujing123 wrote:
Hi doug and others, Thanks doug. I can understand multiple regression. However there is no obvious relationship between these two variables. So I try to test correlation between thickness and these two variables. If I try to consider all subjects as one group, and test correlation between this one group thickness and one variable, can I design matrix like this :http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf1G1V#Contrast2.28slope.mtx.29 ? Thanks. All the best. Rujing Zha 2014-02-25
charujing123
*???:*Douglas N Greve greve@nmr.mgh.harvard.edu *????:*2014-02-25 00:25 *??:*Re: [Freesurfer] fsgdf and contrasts *???:*"charujing123"charujing123@163.com *??:*"freesurfer@nmr.mgh.harvard.edu"freesurfer@nmr.mgh.harvard.edu if you have multiple variables then you have to do multiple regression before testing the correlation doug On 02/21/2014 09:35 PM, charujing123 wrote:
Hi doug and others, I want to perform correlation analysis,just one dependent variable and one independent variable. Previously I think the contrast(i.e.0 0 0.5 0.5 0 0) I design is for correlation between score1 and thickness. But yestoday I found this information http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G2V#Contrast6g1g2.age.mtx.
It told me that "Null Hypothesis: does mean of group age slope differ from 0? Is there anaverage affect of age regressing out the effect of group and weight?". Regressing out the effect of group and weight represents this contrast is for multimple regression,not simple correlation between two varibles. I am confused. Doug, would you please tell me where I am wrong? Thanks. All the best. Rujing Zha. 2014-02-22
charujing123
*?? ?:*Douglas Greve greve@nmr.mgh.harvard.edu *????:*2014-02-21 23:35 *??:*Re: [Freesurfer] fsgdf and contrasts *?? ?:*"freesurfer"freesurfer@nmr.mgh.harvard.edu *??:*
I'm not sure I understand. Your contrasts below are fine. What are you unsure about? doug
On 2/20/14 7:48 PM, charujing123 wrote:
Hidoug and others, Thanks doug. I see.If I want to implement multiple regression, i.e. two EVs(score1 and score2) explain pial thickness, what contrast I should design for this. Thanks again. All the best. Rujing Zha 2014-02-21
charujing123
*?? ?:*Douglas N Greve greve@nmr.mgh.harvard.edu *????:*2014-02-21 03:39 *??:*Re: [Freesurfer] fsgdf and contrasts *?? ?:*"freesurfer"freesurfer@nmr.mgh.harvard.edu *??:* yes, they are, though you don't need to do the positive and negative contrasts because the sign is preserved doug On 02/20/2014 12:47 AM, charujing123 wrote:
Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design:
GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21
Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0
0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0
0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0
0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is
thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha 2014-02-20
charujing123
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer 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.
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ _______________________________________________ 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
Thanks doug. All the best. Rujing Zha
2014-02-26
charujing123
发件人：Douglas Greve greve@nmr.mgh.harvard.edu 发送时间：2014-02-25 23:37 主题：Re: [Freesurfer] fsgdf and contrasts 收件人："freesurfer"freesurfer@nmr.mgh.harvard.edu 抄送：
Yes doug
On 2/24/14 8:32 PM, charujing123 wrote:
Hi doug and others, Thanks doug. I can understand multiple regression. However there is no obvious relationship between these two variables. So I try to test correlation between thickness and these two variables. If I try to consider all subjects as one group, and test correlation between this one group thickness and one variable, can I design matrix like this :http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf1G1V#Contrast2.28slope.mtx.29 ? Thanks. All the best. Rujing Zha
2014-02-25
charujing123
发件人：Douglas N Greve greve@nmr.mgh.harvard.edu 发送时间：2014-02-25 00:25 主题：Re: [Freesurfer] fsgdf and contrasts 收件人："charujing123"charujing123@163.com 抄送："freesurfer@nmr.mgh.harvard.edu"freesurfer@nmr.mgh.harvard.edu
if you have multiple variables then you have to do multiple regression before testing the correlation doug
On 02/21/2014 09:35 PM, charujing123 wrote:
Hi doug and others, I want to perform correlation analysis,just one dependent variable and one independent variable. Previously I think the contrast(i.e.0 0 0.5 0.5 0 0) I design is for correlation between score1 and thickness. But yestoday I found this information http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G2V#Contrast6g1g2.age.mtx. It told me that "Null Hypothesis: does mean of group age slope differ from 0? Is there anaverage affect of age regressing out the effect of group and weight?". Regressing out the effect of group and weight represents this contrast is for multimple regression,not simple correlation between two varibles. I am confused. Doug, would you please tell me where I am wrong? Thanks. All the best. Rujing Zha. 2014-02-22
charujing123
*发件 人：*Douglas Greve greve@nmr.mgh.harvard.edu *发送时间：*2014-02-21 23:35 *主题：*Re: [Freesurfer] fsgdf and contrasts *收件 人：*"freesurfer"freesurfer@nmr.mgh.harvard.edu *抄送：*
I'm not sure I understand. Your contrasts below are fine. What are you unsure about? doug
On 2/20/14 7:48 PM, charujing123 wrote:
Hidoug and others, Thanks doug. I see.If I want to implement multiple regression, i.e. two EVs(score1 and score2) explain pial thickness, what contrast I should design for this. Thanks again. All the best. Rujing Zha 2014-02-21
charujing123
*发件 人：*Douglas N Greve greve@nmr.mgh.harvard.edu *发送时间：*2014-02-21 03:39 *主题：*Re: [Freesurfer] fsgdf and contrasts *收件 人：*"freesurfer"freesurfer@nmr.mgh.harvard.edu *抄送：* yes, they are, though you don't need to do the positive and negative contrasts because the sign is preserved doug On 02/20/2014 12:47 AM, charujing123 wrote:
Hi FS experts and users, I am trying to implement independent sample t-test and correlation analysis. Here is my fsgdf design:
GroupDescriptorFile 1 Title lh_ttest Class CON_IA Class PAT_IA Variables score1 score2 Input CON_IA01 CON_IA 0 0 Input CON_IA03 CON_IA 0 0 Input CON_IA05 CON_IA 0 0 Input CON_IA06 CON_IA 0 0 Input CON_IA07 CON_IA 3 7 Input CON_IA09 CON_IA 0 0 Input CON_IA14 CON_IA 0 0 Input CON_IA15 CON_IA 0 0 Input CON_IA16 CON_IA 7 12 Input CON_IA19 CON_IA 6 15 Input CON_IA24 CON_IA 6 11 Input CON_IA27 CON_IA 3 3 Input CON_IA32 CON_IA 7 21 Input CON_IA33 CON_IA 7 21 Input CON_IA35 CON_IA 0 0 Input CON_IA38 CON_IA 7 15 Input CON_IA39 CON_IA 2 3 Input CON_IA40 CON_IA 6 8 Input CON_IA41 CON_IA 2 4 Input PAT_IA01 PAT_IA 8 13 Input PAT_IA02 PAT_IA 9 38 Input PAT_IA03 PAT_IA 9 33 Input PAT_IA04 PAT_IA 9 27 Input PAT_IA06 PAT_IA 9 26 Input PAT_IA08 PAT_IA 8 16 Input PAT_IA09 PAT_IA 9 33 Input PAT_IA16 PAT_IA 9 35 Input PAT_IA18 PAT_IA 9 39 Input PAT_IA21 PAT_IA 9 32 Input PAT_IA22 PAT_IA 9 31 Input PAT_IA23 PAT_IA 9 35 Input PAT_IA24 PAT_IA 9 40 Input PAT_IA25 PAT_IA 9 29 Input PAT_IA27 PAT_IA 9 30 Input PAT_IA29 PAT_IA 9 30 Input PAT_IA30 PAT_IA 8 32 Input PAT_IA33 PAT_IA 9 13 Input PAT_IA34 PAT_IA 9 21
Contrasts for independent sample t-test: 1,CON_IA>PAT_IA:1 -1 0 0 0 0 2,PAT_IA>CON_IA:-1 1 0 0 0 0 Contrasts for correlation analysis: 1,possitive correlation analysis between pial thickness and score1:0 0 0.5 0.5 0 0 2,negtive correlation analysis between pial thickness and score1:0 0 -0.5 -0.5 0 0 3,positive correlation analysis between pial thickness and score2:0 0 0 0 0.5 0.5 4,negtive correlation analysis between pial thickness and score2:0 0 0 0 -0.5 -0.5 Are my designs appropriate? If I want to implement regression analysis(i.e. dependent variable is thickness and independent variables are score1 and score2), how to design my contrast? Thanks. All the best. Rujing Zha 2014-02-20
charujing123
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer 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.
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
-- Douglas N. Greve, Ph.D. MGH-NMR Center greve@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422
Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
_______________________________________________ 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
freesurfer@nmr.mgh.harvard.edu
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charujing123 -
Douglas Greve -
Douglas N Greve