Hi Ignacio,
the thickness is definitely affected by factors such as sequence type, field strength and acquisition parameters (not to mention age, maybe gender, etc...) so I think you need to acquire your own control(s) on a matched acquisition.
cheers. Bruce
On Tue, 5 Jul 2011, Ignacio Letelier wrote:
Hi Bruce,
Otherwise, is it possible to simply compare my T1 brain acquisition (with dysplasia suspicion) with a 'normal template' (which maybe bert) to determine whether there exist any anomaly in the cortical thickness ? and, is it possible to visualize these potential differences using a color map scaling?
Thanks in advance-
Best regards.
Ignacio.
2011/7/3 Bruce Fischl fischl@nmr.mgh.harvard.edu Hi Ignacio,
I see. You could do that, but I don't think it will show what you want. There is a big geometric component to the thickness - crowns are thick and fund are thin - so at the very least you might try including mean curvature as a covariate.cheers Bruce
On Fri, 1 Jul 2011, Ignacio Letelier wrote:
Sorry I didn't realize since you have the same domain. Ok, Let's say I do know the mean cortical thickness value of a subject. Then is it possible know what brain areas differ more from that mean value by using a color map visualization (I.e. for example: red = higher deviations, deep blue = lower deviations)? So this way I can determine where there may exist some kind of dysplasia. Best regards. 2011/7/1 Bruce Fischl <fischl@nmr.mgh.harvard.edu> can you post this kind of thing so others can answer? I still don't understand though. stdv of what? On Fri, 1 Jul 2011, Ignacio Letelier wrote: Let's say I want to know if there is a way to know where is the highest stdv in the same subject, using a color map visualization in qdec or something? Best regards. 2011/7/1 Bruce Fischl <fischl@nmr.mgh.harvard.edu> Hi Ignacio you mean different from the median in that subject? Easy enough to do in matlab, but we don't have anything out of the box to do it cheers Bruce On Fri, 1 Jul 2011, Ignacio Letelier wrote: Hi forum Is it possible to get statistical maps of cortical thickness differences in the same subject? I.e. to know what areas differ most from the median -- Ignacio 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.
Then, and finally is this method the best way to determine whether exist any cortical thickness anomaly, I mean, to use a normal control acquisition as comparisson?
Thanks in advance Ignacio. 2011/7/5 Bruce Fischl fischl@nmr.mgh.harvard.edu
Hi Ignacio,
the thickness is definitely affected by factors such as sequence type, field strength and acquisition parameters (not to mention age, maybe gender, etc...) so I think you need to acquire your own control(s) on a matched acquisition.
cheers. Bruce
On Tue, 5 Jul 2011, Ignacio Letelier wrote:
Hi Bruce,
Otherwise, is it possible to simply compare my T1 brain acquisition (with dysplasia suspicion) with a 'normal template' (which maybe bert) to determine whether there exist any anomaly in the cortical thickness ? and, is it possible to visualize these potential differences using a color map scaling?
Thanks in advance-
Best regards.
Ignacio.
2011/7/3 Bruce Fischl fischl@nmr.mgh.harvard.edu Hi Ignacio,
I see. You could do that, but I don't think it will show what you want. There is a big geometric component to the thickness - crowns are thick and fund are thin - so at the very least you might try including mean curvature as a covariate.cheers Bruce
On Fri, 1 Jul 2011, Ignacio Letelier wrote:
Sorry I didn't realize since you have the same domain. Ok, Let's say I do know the mean cortical thickness value of a subject. Then is it possible know what brain areas differ more from that mean value by using a color map visualization (I.e. for example: red = higher deviations, deep blue = lower deviations)? So this way I can determine where there may exist some kind of dysplasia. Best regards. 2011/7/1 Bruce Fischl <fischl@nmr.mgh.harvard.edu> can you post this kind of thing so others can answer? I still don't understand though. stdv of what? On Fri, 1 Jul 2011, Ignacio Letelier wrote: Let's say I want to know if there is a way to know where is the highest stdv in the same subject, using a color map visualization in qdec or something? Best regards. 2011/7/1 Bruce Fischl <fischl@nmr.mgh.harvard.edu> Hi Ignacio you mean different from the median in that subject? Easy enough to do in matlab, but we don't have anything out of the box to do it cheers Bruce On Fri, 1 Jul 2011, Ignacio Letelier wrote: Hi forum Is it possible to get statistical maps of cortical thickness differences in the same subject? I.e. to know what areas differ most from the median -- Ignacio 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<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 can't say whether it's the best way, but it should be relatively unbiased
On Tue, 5 Jul 2011, Ignacio Letelier wrote:
Then, and finally is this method the best way to determine whether exist any cortical thickness anomaly, I mean, to use a normal control acquisition as comparisson?
Thanks in advance Ignacio. 2011/7/5 Bruce Fischl fischl@nmr.mgh.harvard.edu Hi Ignacio,
the thickness is definitely affected by factors such as sequence type, field strength and acquisition parameters (not to mention age, maybe gender, etc...) so I think you need to acquire your own control(s) on a matched acquisition. cheers. BruceOn Tue, 5 Jul 2011, Ignacio Letelier wrote:
Hi Bruce, Otherwise, is it possible to simply compare my T1 brain acquisition (with dysplasia suspicion) with a 'normal template' (which maybe bert) to determine whether there exist any anomaly in the cortical thickness ? and, is it possible to visualize these potential differences using a color map scaling? Thanks in advance- Best regards. Ignacio. 2011/7/3 Bruce Fischl <fischl@nmr.mgh.harvard.edu> Hi Ignacio, I see. You could do that, but I don't think it will show what you want. There is a big geometric component to the thickness - crowns are thick and fund are thin - so at the very least you might try including mean curvature as a covariate. cheers Bruce On Fri, 1 Jul 2011, Ignacio Letelier wrote: Sorry I didn't realize since you have the same domain. Ok, Let's say I do know the mean cortical thickness value of a subject. Then is it possible know what brain areas differ more from that mean value by using a color map visualization (I.e. for example: red = higher deviations, deep blue = lower deviations)? So this way I can determine where there may exist some kind of dysplasia. Best regards. 2011/7/1 Bruce Fischl <fischl@nmr.mgh.harvard.edu> can you post this kind of thing so others can answer? I still don't understand though. stdv of what? On Fri, 1 Jul 2011, Ignacio Letelier wrote: Let's say I want to know if there is a way to know where is the highest stdv in the same subject, using a color map visualization in qdec or something? Best regards. 2011/7/1 Bruce Fischl <fischl@nmr.mgh.harvard.edu> Hi Ignacio you mean different from the median in that subject? Easy enough to do in matlab, but we don't have anything out of the box to do it cheers Bruce On Fri, 1 Jul 2011, Ignacio Letelier wrote: Hi forum Is it possible to get statistical maps of cortical thickness differences in the same subject? I.e. to know what areas differ most from the median -- Ignacio 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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