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Hello
I am trying to a whole brain analysis with one group and five covariates. I am getting an error that the design matrix may be ill-conditioned or badly scaled. I checked over the fsgd file in TextEdit and it seems to be formatted correctly. I am using Freesurfer version 5.3.0 and my platform is macOS Big Sur version 11.4. I would appreciate any help further troubleshooting this error. Thank you!
ERROR: matrix is ill-conditioned or badly scaled, condno = 13065 Possible problem with experimental design: Check for duplicate entries and/or lack of range of continuous variables within a class. If you seek help with this problem, make sure to send: 1. Your command line: mri_glmfit --y lh.eig_cgORCE_baselineORCE_teenCG.thickness.10.mgh --fsgd eig_cgORCE_baselineORCE_teenCG.fsgd dods --C eig_cgORCE3042_slope.mtx --C eig_cgORCEbaseline_slope.mtx --C eig_teenCGqual_slope.mtx --surf fsaverage lh --cortex --glmdir lh.eig_cgORCE_baselineORCE_teenCGagesex.glmdir 2. The FSGD file (if using one) 3. And the design matrix
Design matrix ------------------ 1.000 0.000 16.660 2.950 2.200 0.000; 1.000 0.000 16.960 1.900 2.600 0.000; 1.000 0.000 17.390 2.450 2.800 0.000; 1.000 1.000 17.130 2.300 2.500 0.000; 1.000 1.000 16.980 2.400 2.300 0.000; 1.000 0.000 17.690 2.200 2.900 0.000; 1.000 1.000 16.870 2.750 2.900 1.000; 1.000 0.000 17.570 2.550 1.700 0.000; 1.000 0.000 17.130 2.150 1.928 0.000; 1.000 1.000 17.650 2.750 2.200 0.000; 1.000 1.000 17.210 2.450 2.500 1.000; 1.000 0.000 15.610 3.100 1.565 1.000; 1.000 0.000 16.440 2.650 2.300 0.000; 1.000 1.000 17.350 2.400 2.600 0.000; 1.000 0.000 16.800 1.600 1.400 0.000; 1.000 1.000 17.980 2.200 2.300 1.000; 1.000 1.000 16.890 2.800 1.600 1.000; 1.000 0.000 16.760 1.100 1.300 0.000; 1.000 1.000 16.790 2.500 1.400 0.000; 1.000 1.000 16.620 2.900 2.800 0.000; 1.000 1.000 16.500 2.500 1.200 0.000; 1.000 1.000 16.290 2.700 3.200 0.500; 1.000 0.000 16.440 3.100 2.500 1.000; 1.000 0.000 17.540 2.100 2.100 1.000; 1.000 1.000 16.810 1.900 2.600 1.000; 1.000 0.000 17.110 2.650 2.400 0.000; 1.000 1.000 16.520 2.000 2.300 0.000; 1.000 1.000 16.520 3.100 3.400 1.000; 1.000 0.000 16.320 3.300 2.800 0.500; 1.000 0.000 16.380 3.200 1.900 1.000; 1.000 0.000 16.570 2.800 2.000 0.000; 1.000 1.000 16.250 2.200 1.600 0.000; 1.000 1.000 16.820 2.900 2.600 1.000; 1.000 0.000 16.580 2.600 2.800 0.000; 1.000 1.000 16.730 2.850 3.150 0.000; 1.000 0.000 16.310 2.600 1.900 0.000; 1.000 1.000 17.010 1.700 2.400 0.000; 1.000 1.000 16.360 3.200 3.200 0.000; 1.000 1.000 16.490 2.400 1.525 0.000; 1.000 0.000 16.300 2.400 1.450 1.000; 1.000 0.000 16.060 2.200 1.300 0.000; 1.000 1.000 16.600 2.200 2.000 0.000; 1.000 0.000 16.720 3.300 2.500 0.000; 1.000 1.000 16.160 2.300 2.200 0.000; 1.000 1.000 16.140 2.800 1.850 0.000; 1.000 1.000 16.550 3.100 2.950 1.000; 1.000 1.000 17.300 3.450 2.700 1.000; 1.000 0.000 16.940 3.000 2.200 1.000; 1.000 1.000 16.550 2.700 2.850 0.000; 1.000 0.000 17.170 3.000 2.900 1.000; 1.000 0.000 17.150 2.800 2.450 0.000; 1.000 0.000 16.650 3.100 1.900 0.500; 1.000 0.000 16.070 2.700 2.900 1.000; 1.000 1.000 16.720 1.800 1.450 1.000; 1.000 0.000 16.150 2.900 1.000 0.000; 1.000 1.000 16.120 2.400 2.200 1.000; 1.000 1.000 17.540 2.600 2.600 0.000; 1.000 1.000 16.840 2.900 1.100 0.000; 1.000 1.000 15.790 3.100 1.600 1.000; 1.000 1.000 16.430 2.800 1.500 0.000; 1.000 0.000 16.390 3.300 2.700 1.000; 1.000 0.000 16.480 3.350 3.000 0.000; 1.000 1.000 16.930 3.000 1.000 0.000; 1.000 1.000 15.550 2.200 2.600 0.000; 1.000 1.000 17.080 2.900 1.500 0.000; 1.000 0.000 16.850 2.500 2.200 0.500; 1.000 1.000 16.700 2.200 1.800 0.000; 1.000 1.000 15.930 2.600 2.000 1.000; 1.000 1.000 16.080 2.600 1.200 0.500; 1.000 0.000 16.130 3.150 1.400 1.000; 1.000 1.000 16.250 3.100 1.400 1.000; 1.000 0.000 16.040 3.250 3.200 1.000; 1.000 0.000 16.040 3.500 2.900 1.000; 1.000 0.000 16.070 1.400 1.000 1.000; 1.000 0.000 16.550 3.200 2.300 1.000; 1.000 0.000 16.120 2.800 2.000 0.500; 1.000 1.000 16.450 3.150 1.400 1.000; 1.000 0.000 15.910 3.400 1.600 1.000; 1.000 1.000 15.700 3.000 2.400 1.000;
Best, Lucy Lurie (she/her/hers) Doctoral Student, Clinical Psychology Department of Psychology and Neuroscience University of North Carolina at Chapel Hill CIRCLE Labhttps://secure-web.cisco.com/18i_Rf4fzTTcqPA2OQAm3_CnM6qhNKl6D-xG6RO1PJGAuLnAlN2Qa-m8h9EZGbO9Qo7QPQAiBVNevAoHlY-jf9z7dGHxurd8Oe8uw75EoTaRxQZ_Nl1ObEe1gsWQecXmO42TYy9xWhqpijv4wchCBs6bYGaIXNVDP3iaP_YqG99OQMWqyy3Zhq6_BwSFJYIw_edeT9Drrl9CQKiDWXReHaL-jQ4DUC7cHEyRW7ZG8OXH6a9M8dPLZcaM5Lxb8KEYCKOSgtBx3kUPo_h53ZU-lOQ/https%3A%2F%2Fcirclelab.unc.edu%2F
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Dear FS team, what are differences if any between LGI in FS 5.3 and 7.1? Thank you so much, best wishes, Elisabetta
The biggest changes are intensity normalization and highres support, but many more changes. See the release notes https://surfer.nmr.mgh.harvard.edu/fswiki/ReleaseNotes
On 6/9/2021 10:17 AM, Del Re, Elisabetta wrote:
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Dear FS team, what are differences if any between LGI in FS 5.3 and 7.1? Thank you so much, best wishes, Elisabetta
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://secure-web.cisco.com/1sLeUzUQ901lGnNjwPD2kwN8sTPX4PBy7pYeeGHSUcTGTpy...
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Thank you so much. I am still in doubt as to whether adjust/normalize for brain volume or otherwise surface area before comparing groups. Thank you for your advise, best wishes, Elisabetta
From: freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edu on behalf of Douglas N. Greve dgreve@mgh.harvard.edu Sent: Sunday, June 20, 2021 10:34 AM To: freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] LGI FS 7.1
The biggest changes are intensity normalization and highres support, but many more changes. See the release notes https://secure-web.cisco.com/1xB0JoEP4-fG6EBFVYpZNgm_wWEEh-A2gLPM-xdJP5exIJK...
On 6/9/2021 10:17 AM, Del Re, Elisabetta wrote:
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Dear FS team, what are differences if any between LGI in FS 5.3 and 7.1? Thank you so much, best wishes, Elisabetta
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edumailto:Freesurfer@nmr.mgh.harvard.edu https://secure-web.cisco.com/1sLeUzUQ901lGnNjwPD2kwN8sTPX4PBy7pYeeGHSUcTGTpy...https://secure-web.cisco.com/1O3Kk0oSUij-GUZ_t2ELwmiO_yM7wDzhqK6bEVa1ZEgIeAZglJL_GN77yf0pvGqCu7i3Lk4gFOEuoHClcxXtgHrFCjnez5gWSlgQ1qlXhVFJOWVLu2x2ysYRnQ6JjLm5dgLlIRNPTj3-bWa01XRB-GOpJDsOhGl5EP1UfXOYyKMk6QRZWwAVDFlxkGhwt86_DHUcau5joPYmR8OWurXcd8vBtr9GnX3lMlg313hN6E39aDhhm8vCSbBgS7WIME-hKXZzlzMpQTzPg4NtZT0VjIQ/https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__secure-2Dweb.cisco.com_1sLeUzUQ901lGnNjwPD2kwN8sTPX4PBy7pYeeGHSUcTGTpyPQVYe6iXhPFScxxTKPHCSwO-5FYuHw6MKNJGzgJtS8uEnX2-5FkvT-5FnS9W1TOItISbcDoX29GssQprhBVXb9Cs5WdVi3awt3zBuAJ-5FgRYP4MwqTriJGGx9WOsGmUvc76DqpyhV4KQNFD3srHa6uD7lW3hKBSgSJiJLglZTpqqVChh9eSz28PfY9xhZTv4bkkSxY8nPaqL7gZzD9sbN1IrCNI3hQgR73dSx9UJA48RxEg_https-253A-252F-252Fmail.nmr.mgh.harvard.edu-252Fmailman-252Flistinfo-252Ffreesurfer%26d%3DDwMD-g%26c%3DWO-RGvefibhHBZq3fL85hQ%26r%3DKlJbht4h1i6aPJHMk7qSgoiYID4UiBhKWpU1g8jq1jE%26m%3DNLZuHyBFFRf6g0hYNFSvCbtOFheSnDMLJAXDfHZNZKM%26s%3DBXF-jRGvBlv36D33PKUCRvRA7eTsT2q-TS_qS7EmFwQ%26e%3D
I'm not sure what you mean. Can you elaborate?
On 6/30/2021 5:05 PM, Del Re, Elisabetta wrote:
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Thank you so much. I am still in doubt as to whether adjust/normalize for brain volume or otherwise surface area before comparing groups. Thank you for your advise, best wishes, Elisabetta
*From:* freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edu on behalf of Douglas N. Greve dgreve@mgh.harvard.edu *Sent:* Sunday, June 20, 2021 10:34 AM *To:* freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edu *Subject:* Re: [Freesurfer] LGI FS 7.1 The biggest changes are intensity normalization and highres support, but many more changes. See the release notes *MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be* https://surfer.nmr.mgh.harvard.edu/fswiki/ReleaseNotes https://secure-web.cisco.com/1xB0JoEP4-fG6EBFVYpZNgm_wWEEh-A2gLPM-xdJP5exIJKbf7w6aDNPwqYmKJIR8SrNy1xr6DJo9iYqEnbwjCYfUyZQRlY8Hd4MU-d6yggFqQmT66AdhaeuTQeUQ7AkgibL7x5UqcEljyQL1RT0KBiyOnReezLP4Z8--PU2iDuGic9cXeEnro0Xpv-Tzp6NbIfk6obBLB7iAzGhkhUqZQGiUVwZGVeRjVT6zSrZjqVvuMa21nIKQ6S9MLRSvddGz9Fo4YxwtSgSSaqFZhiC6qQ/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FReleaseNotes
On 6/9/2021 10:17 AM, Del Re, Elisabetta wrote:
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Dear FS team, what are differences if any between LGI in FS 5.3 and 7.1? Thank you so much, best wishes, Elisabetta
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu mailto:Freesurfer@nmr.mgh.harvard.edu https://secure-web.cisco.com/1sLeUzUQ901lGnNjwPD2kwN8sTPX4PBy7pYeeGHSUcTGTpy... https://secure-web.cisco.com/1O3Kk0oSUij-GUZ_t2ELwmiO_yM7wDzhqK6bEVa1ZEgIeAZglJL_GN77yf0pvGqCu7i3Lk4gFOEuoHClcxXtgHrFCjnez5gWSlgQ1qlXhVFJOWVLu2x2ysYRnQ6JjLm5dgLlIRNPTj3-bWa01XRB-GOpJDsOhGl5EP1UfXOYyKMk6QRZWwAVDFlxkGhwt86_DHUcau5joPYmR8OWurXcd8vBtr9GnX3lMlg313hN6E39aDhhm8vCSbBgS7WIME-hKXZzlzMpQTzPg4NtZT0VjIQ/https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__secure-2Dweb.cisco.com_1sLeUzUQ901lGnNjwPD2kwN8sTPX4PBy7pYeeGHSUcTGTpyPQVYe6iXhPFScxxTKPHCSwO-5FYuHw6MKNJGzgJtS8uEnX2-5FkvT-5FnS9W1TOItISbcDoX29GssQprhBVXb9Cs5WdVi3awt3zBuAJ-5FgRYP4MwqTriJGGx9WOsGmUvc76DqpyhV4KQNFD3srHa6uD7lW3hKBSgSJiJLglZTpqqVChh9eSz28PfY9xhZTv4bkkSxY8nPaqL7gZzD9sbN1IrCNI3hQgR73dSx9UJA48RxEg_https-253A-252F-252Fmail.nmr.mgh.harvard.edu-252Fmailman-252Flistinfo-252Ffreesurfer%26d%3DDwMD-g%26c%3DWO-RGvefibhHBZq3fL85hQ%26r%3DKlJbht4h1i6aPJHMk7qSgoiYID4UiBhKWpU1g8jq1jE%26m%3DNLZuHyBFFRf6g0hYNFSvCbtOFheSnDMLJAXDfHZNZKM%26s%3DBXF-jRGvBlv36D33PKUCRvRA7eTsT2q-TS_qS7EmFwQ%26e%3D
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://secure-web.cisco.com/1vxZfNE8vKzlRbZ8-Br6JzchyoXMsqWPJ4KtFmMCRyz0H4s...
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Would you normalize for differences in head size by adjusting for eTiV or total surface area? Thank you so much, Elisabetta
Sent from my iPhone
On Jul 9, 2021, at 2:08 PM, Douglas N. Greve dgreve@mgh.harvard.edu wrote:
I'm not sure what you mean. Can you elaborate?
On 6/30/2021 5:05 PM, Del Re, Elisabetta wrote:
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External Email - Use Caution
Thank you so much. I am still in doubt as to whether adjust/normalize for brain volume or otherwise surface area before comparing groups. Thank you for your advise, best wishes, Elisabetta
From: freesurfer-bounces@nmr.mgh.harvard.edumailto:freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edumailto:freesurfer-bounces@nmr.mgh.harvard.edu on behalf of Douglas N. Greve dgreve@mgh.harvard.edumailto:dgreve@mgh.harvard.edu Sent: Sunday, June 20, 2021 10:34 AM To: freesurfer@nmr.mgh.harvard.edumailto:freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edumailto:freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] LGI FS 7.1
The biggest changes are intensity normalization and highres support, but many more changes. See the release notes MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be https://secure-web.cisco.com/1Di65Y_P78CLycNjcfkSgtF_4x3lfpFYC8zd_H_tKCcJRA6...https://secure-web.cisco.com/1-zy4xnoTVIUZYOAGhBIwlDn1MFRhAABHpitnpF8oWCmzvLodj7YweHxCi0AfJBEH9aGoVZdZVRRRC-4D4E-udWSQwUBkUzi31DT_ibnUWLifKSxG2_jKz0oHC74LIelR9Ruiw5HqkQ8AC-EFFm5U9JNpwxT6MIidMgg7aGi47AOu9Spu4uA-ZhgVyGb6rEWjDtGmhEzDtp5x10ixtqWDogjgI5JjigC-V0KLODa7pucpNXiWccdKP8ahWps69nZ3pDaWwTVgCrw3-MrAes3DPw/https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__secure-2Dweb.cisco.com_1xB0JoEP4-2DfG6EBFVYpZNgm-5FwWEEh-2DA2gLPM-2DxdJP5exIJKbf7w6aDNPwqYmKJIR8SrNy1xr6DJo9iYqEnbwjCYfUyZQRlY8Hd4MU-2Dd6yggFqQmT66AdhaeuTQeUQ7AkgibL7x5UqcEljyQL1RT0KBiyOnReezLP4Z8-2D-2DPU2iDuGic9cXeEnro0Xpv-2DTzp6NbIfk6obBLB7iAzGhkhUqZQGiUVwZGVeRjVT6zSrZjqVvuMa21nIKQ6S9MLRSvddGz9Fo4YxwtSgSSaqFZhiC6qQ_https-253A-252F-252Fsurfer.nmr.mgh.harvard.edu-252Ffswiki-252FReleaseNotes%26d%3DDwMG-g%26c%3DWO-RGvefibhHBZq3fL85hQ%26r%3DKlJbht4h1i6aPJHMk7qSgoiYID4UiBhKWpU1g8jq1jE%26m%3DO-lvAE2GmOPl5T6lDiVcDd_ArIQ66F2bQB3zRHG9M0U%26s%3DQO-OQ-HY9n1HytwwLnLtCUEjWUs_ImrL4fw5OiuJjhs%26e%3D
On 6/9/2021 10:17 AM, Del Re, Elisabetta wrote:
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Dear FS team, what are differences if any between LGI in FS 5.3 and 7.1? Thank you so much, best wishes, Elisabetta
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I'm not sure either. I don't really use lgi. Look at some of the papers that have and see what they do
On 7/9/2021 4:03 PM, Del Re, Elisabetta wrote:
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Would you normalize for differences in head size by adjusting for eTiV or total surface area? Thank you so much, Elisabetta
Sent from my iPhone
On Jul 9, 2021, at 2:08 PM, Douglas N. Greve dgreve@mgh.harvard.edu wrote:
I'm not sure what you mean. Can you elaborate?
On 6/30/2021 5:05 PM, Del Re, Elisabetta wrote:
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Thank you so much. I am still in doubt as to whether adjust/normalize for brain volume or otherwise surface area before comparing groups. Thank you for your advise, best wishes, Elisabetta
*From:* freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edu on behalf of Douglas N. Greve dgreve@mgh.harvard.edu *Sent:* Sunday, June 20, 2021 10:34 AM *To:* freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edu *Subject:* Re: [Freesurfer] LGI FS 7.1 The biggest changes are intensity normalization and highres support, but many more changes. See the release notes *MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be* https://surfer.nmr.mgh.harvard.edu/fswiki/ReleaseNotes https://secure-web.cisco.com/1-zy4xnoTVIUZYOAGhBIwlDn1MFRhAABHpitnpF8oWCmzvLodj7YweHxCi0AfJBEH9aGoVZdZVRRRC-4D4E-udWSQwUBkUzi31DT_ibnUWLifKSxG2_jKz0oHC74LIelR9Ruiw5HqkQ8AC-EFFm5U9JNpwxT6MIidMgg7aGi47AOu9Spu4uA-ZhgVyGb6rEWjDtGmhEzDtp5x10ixtqWDogjgI5JjigC-V0KLODa7pucpNXiWccdKP8ahWps69nZ3pDaWwTVgCrw3-MrAes3DPw/https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__secure-2Dweb.cisco.com_1xB0JoEP4-2DfG6EBFVYpZNgm-5FwWEEh-2DA2gLPM-2DxdJP5exIJKbf7w6aDNPwqYmKJIR8SrNy1xr6DJo9iYqEnbwjCYfUyZQRlY8Hd4MU-2Dd6yggFqQmT66AdhaeuTQeUQ7AkgibL7x5UqcEljyQL1RT0KBiyOnReezLP4Z8-2D-2DPU2iDuGic9cXeEnro0Xpv-2DTzp6NbIfk6obBLB7iAzGhkhUqZQGiUVwZGVeRjVT6zSrZjqVvuMa21nIKQ6S9MLRSvddGz9Fo4YxwtSgSSaqFZhiC6qQ_https-253A-252F-252Fsurfer.nmr.mgh.harvard.edu-252Ffswiki-252FReleaseNotes%26d%3DDwMG-g%26c%3DWO-RGvefibhHBZq3fL85hQ%26r%3DKlJbht4h1i6aPJHMk7qSgoiYID4UiBhKWpU1g8jq1jE%26m%3DO-lvAE2GmOPl5T6lDiVcDd_ArIQ66F2bQB3zRHG9M0U%26s%3DQO-OQ-HY9n1HytwwLnLtCUEjWUs_ImrL4fw5OiuJjhs%26e%3D
On 6/9/2021 10:17 AM, Del Re, Elisabetta wrote:
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Dear FS team, what are differences if any between LGI in FS 5.3 and 7.1? Thank you so much, best wishes, Elisabetta
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Try demeaning and normalizing the covariates.
On 6/9/2021 9:09 AM, Lurie, Lucy wrote:
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Hello
I am trying to a whole brain analysis with one group and five covariates. I am getting an error that the design matrix may be ill-conditioned or badly scaled. I checked over the fsgd file in TextEdit and it seems to be formatted correctly. I am using Freesurfer version 5.3.0 and my platform is macOS Big Sur version 11.4. I would appreciate any help further troubleshooting this error. Thank you!
ERROR: matrix is ill-conditioned or badly scaled, condno = 13065
Possible problem with experimental design: Check for duplicate entries and/or lack of range of continuous variables within a class. If you seek help with this problem, make sure to send:
- Your command line: mri_glmfit --y
lh.eig_cgORCE_baselineORCE_teenCG.thickness.10.mgh --fsgd eig_cgORCE_baselineORCE_teenCG.fsgd dods --C eig_cgORCE3042_slope.mtx --C eig_cgORCEbaseline_slope.mtx --C eig_teenCGqual_slope.mtx --surf fsaverage lh --cortex --glmdir lh.eig_cgORCE_baselineORCE_teenCGagesex.glmdir
The FSGD file (if using one)
And the design matrix
Design matrix ------------------
1.000 0.000 16.660 2.950 2.200 0.000;
1.000 0.000 16.960 1.900 2.600 0.000;
1.000 0.000 17.390 2.450 2.800 0.000;
1.000 1.000 17.130 2.300 2.500 0.000;
1.000 1.000 16.980 2.400 2.300 0.000;
1.000 0.000 17.690 2.200 2.900 0.000;
1.000 1.000 16.870 2.750 2.900 1.000;
1.000 0.000 17.570 2.550 1.700 0.000;
1.000 0.000 17.130 2.150 1.928 0.000;
1.000 1.000 17.650 2.750 2.200 0.000;
1.000 1.000 17.210 2.450 2.500 1.000;
1.000 0.000 15.610 3.100 1.565 1.000;
1.000 0.000 16.440 2.650 2.300 0.000;
1.000 1.000 17.350 2.400 2.600 0.000;
1.000 0.000 16.800 1.600 1.400 0.000;
1.000 1.000 17.980 2.200 2.300 1.000;
1.000 1.000 16.890 2.800 1.600 1.000;
1.000 0.000 16.760 1.100 1.300 0.000;
1.000 1.000 16.790 2.500 1.400 0.000;
1.000 1.000 16.620 2.900 2.800 0.000;
1.000 1.000 16.500 2.500 1.200 0.000;
1.000 1.000 16.290 2.700 3.200 0.500;
1.000 0.000 16.440 3.100 2.500 1.000;
1.000 0.000 17.540 2.100 2.100 1.000;
1.000 1.000 16.810 1.900 2.600 1.000;
1.000 0.000 17.110 2.650 2.400 0.000;
1.000 1.000 16.520 2.000 2.300 0.000;
1.000 1.000 16.520 3.100 3.400 1.000;
1.000 0.000 16.320 3.300 2.800 0.500;
1.000 0.000 16.380 3.200 1.900 1.000;
1.000 0.000 16.570 2.800 2.000 0.000;
1.000 1.000 16.250 2.200 1.600 0.000;
1.000 1.000 16.820 2.900 2.600 1.000;
1.000 0.000 16.580 2.600 2.800 0.000;
1.000 1.000 16.730 2.850 3.150 0.000;
1.000 0.000 16.310 2.600 1.900 0.000;
1.000 1.000 17.010 1.700 2.400 0.000;
1.000 1.000 16.360 3.200 3.200 0.000;
1.000 1.000 16.490 2.400 1.525 0.000;
1.000 0.000 16.300 2.400 1.450 1.000;
1.000 0.000 16.060 2.200 1.300 0.000;
1.000 1.000 16.600 2.200 2.000 0.000;
1.000 0.000 16.720 3.300 2.500 0.000;
1.000 1.000 16.160 2.300 2.200 0.000;
1.000 1.000 16.140 2.800 1.850 0.000;
1.000 1.000 16.550 3.100 2.950 1.000;
1.000 1.000 17.300 3.450 2.700 1.000;
1.000 0.000 16.940 3.000 2.200 1.000;
1.000 1.000 16.550 2.700 2.850 0.000;
1.000 0.000 17.170 3.000 2.900 1.000;
1.000 0.000 17.150 2.800 2.450 0.000;
1.000 0.000 16.650 3.100 1.900 0.500;
1.000 0.000 16.070 2.700 2.900 1.000;
1.000 1.000 16.720 1.800 1.450 1.000;
1.000 0.000 16.150 2.900 1.000 0.000;
1.000 1.000 16.120 2.400 2.200 1.000;
1.000 1.000 17.540 2.600 2.600 0.000;
1.000 1.000 16.840 2.900 1.100 0.000;
1.000 1.000 15.790 3.100 1.600 1.000;
1.000 1.000 16.430 2.800 1.500 0.000;
1.000 0.000 16.390 3.300 2.700 1.000;
1.000 0.000 16.480 3.350 3.000 0.000;
1.000 1.000 16.930 3.000 1.000 0.000;
1.000 1.000 15.550 2.200 2.600 0.000;
1.000 1.000 17.080 2.900 1.500 0.000;
1.000 0.000 16.850 2.500 2.200 0.500;
1.000 1.000 16.700 2.200 1.800 0.000;
1.000 1.000 15.930 2.600 2.000 1.000;
1.000 1.000 16.080 2.600 1.200 0.500;
1.000 0.000 16.130 3.150 1.400 1.000;
1.000 1.000 16.250 3.100 1.400 1.000;
1.000 0.000 16.040 3.250 3.200 1.000;
1.000 0.000 16.040 3.500 2.900 1.000;
1.000 0.000 16.070 1.400 1.000 1.000;
1.000 0.000 16.550 3.200 2.300 1.000;
1.000 0.000 16.120 2.800 2.000 0.500;
1.000 1.000 16.450 3.150 1.400 1.000;
1.000 0.000 15.910 3.400 1.600 1.000;
1.000 1.000 15.700 3.000 2.400 1.000;
Best,
Lucy Lurie (she/her/hers)
Doctoral Student, Clinical Psychology
Department of Psychology and Neuroscience
University of North Carolina at Chapel Hill
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Lurie, Lucy