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Dear Thomas,

Thanks for your response.

I have one more question here: I was looking at the Schaefer parcellation
paper where authors have 100, 200, 300, 500...1000 areas parcellation. Is
there a way to choose among these parcellations (i.e., what's the basic
difference/justification/significance of each of these parcellations over
one another) for cortical structure analysis?

Thanks!

On Thu, Jun 24, 2021 at 7:24 PM Thomas Yeo <ytho...@csail.mit.edu> wrote:

>         External Email - Use Caution
>
> Hi Martin,
>
> With regards to adolescents versus adults, there's obviously differences
> between the two age groups. In our experience, when we re-estimate
> parcellations from this study (*MailScanner has detected a possible fraud
> attempt from "secure-web.cisco.com" claiming to be*
> https://secure-web.cisco.com/1IudlKj4RIkQs10Z1MVq-qyzXMK1KFK6wvN63xEvKi24e5rl_nD07TnliMPHz--sVPiuLtdjF5Uno-ntkj7ShCgpDd-_pVOfDTwPs8v3BORNcCYGYEXuKEHapxMGFDUqBsB1r3--Tugb7rj2pJnb_D5_Tw5S5K5JM-LcIY5CNtaPGZbvPi-7aaQDLDXnRWP3HMnGNdWAq0DAiiZMkdJMSgBVBoPz0iYOScBVBAqBIp1ZjYY3oIpqcaEWeeAa38udpWOxVKFsCc4ICNMHiGfFl3Q/https%3A%2F%2Fdoi.org%2F10.1093%2Fcercor%2Fbhab101
> <https://secure-web.cisco.com/1TF7OmC5fKijUUx5uZkr1n5IUfkGr1RFX7MO-EmdsI3fo1_9zP0Jp-ETRw5NAjxS8BJDa6kKcSMMpJ2sdiX-ot-j-5QFedPJw2Pv_w_Lx09S2qip068nmS_qYJ7jPemY60cjnwP8Sv5YsnioL9TmWNC25owkxNqJp4Z23siRPlxWMF6odSKRD90PbJNM9pQK60dgMUgk07qeKbxs2PfIzD7evz-QcmOcS6NgyV6QttV9sTK7p2YtU6VOPRTXrkqV29tPjdaVkUQg-0QMGTS-45w/https%3A%2F%2Fdoi.org%2F10.1093%2Fcercor%2Fbhab101>)
> in kids (ABCD), the parcellations are not better based on various metrics
> we computed, so I suspect it won't matter much. But the kids results are
> not in our paper, so I am not sure the reviewer will buy this argument. For
> this issue, you could reapply the Yeo2011 algorithm (*MailScanner has
> detected a possible fraud attempt from "secure-web.cisco.com" claiming to
> be*
> https://secure-web.cisco.com/1STyuALGZ52-UjmmBJfV1CdFGDZwA6RF_hF3zsYX0GWpLCkfj7qHKlydSNtvsgrAASfMxhmLzmr3J-WKESy3vHHsZoPLJbyPXLThqjBLazJASUShD8mcGT64jgsTszFPmjOtCrPVkDxiN2pPTCGnzmu4uI5v0aFfFnqbvKIDbcoewtYhubdrVxz8ddVqXcctwzu-GiXKZ_gjDc8qLAPkGmUmXXt4UPbtoFtGErM5Ptv8lk5pxxp1cW_1-if-y6RZRVbR5FdClkm47EOECT1n67w/https%3A%2F%2Fgithub.com%2FThomasYeoLab%2FCBIG%2Ftree%2Fmaster%2Fstable_projects%2Fbrain_parcellation%2FYeo2011_fcMRI_clustering
> <https://secure-web.cisco.com/1Z2srwkLUjJ_Dnco-Ccq_78ppkQhV3eTVmdR3bkvuvg64MLymHCpblVH7s3BbaYqCgmBhjfn2fLmvOxE52eTv_pNlqqJU66mrQ_kyS9r5xo7vnpF49mnl1CurnSQ-g0lBHQrOu-r1VaMu4bdeod4wOunBUn8z0Ilju3bxxxEVIBwddrah-4RY6d0MV-0qlYnFyxyw5vpq66r2twE7Xzv--mIsL85psoPahHst1Vto9_q39hxhT94w3fNtgOpITnrC9jSZStJGUBEPMuLDb7fWgQ/https%3A%2F%2Fgithub.com%2FThomasYeoLab%2FCBIG%2Ftree%2Fmaster%2Fstable_projects%2Fbrain_parcellation%2FYeo2011_fcMRI_clustering>)
> to your sample and estimate cohort-specific networks and repeat your
> analysis. We have also developed individual-specific versions of the
> Yeo2011 networks (*MailScanner has detected a possible fraud attempt from
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> <https://secure-web.cisco.com/1ja6ZcGwaTlynHGpv68CpBe5wYiryA6Cd9PoPXavhiQcOfiz9Dqk182Jm1NOGknuS5V4LN5APd8rzUErhPpJ6N8fmbPbU1ofhucuPYirEkxbiN-f7KwiyDUiW26HQYY_APS_F3PptKP35VM14zsTm7TwwBSzRZcp1x2GUabhSkC2Uwedw4JQXh_Wned1PegQitYecAZLY0yG_RxpEISUp9zo-MvBV5DdGwVNYsVx8cRr1imnAjiZgQ241c3ZHSKJsuA3WlEi0QZmaYA9NYNL2Ng/https%3A%2F%2Fgithub.com%2FThomasYeoLab%2FCBIG%2Ftree%2Fmaster%2Fstable_projects%2Fbrain_parcellation%2FKong2019_MSHBM>),
> which you might find helpful, although it's probably not necessary based on
> the reviewer's comments.
>
> The other issue is whether a functional atlas might be appropriate for
> structural data. I think that really depends on your question. For example,
> if your question is whether default network cortical thickness might be
> different between adolescents and adults, I think it's reasonable to use a
> functional atlas where the default network is well defined. If you use a
> structural atlas like the Desikan-Kiliany atlas, then you will still need
> to use a functional atlas to roughly assign the Desikan-Kiliany parcels to
> the default network, which does not seem that great either.
>
> Regards,
> Thomas
>
> On Fri, Jun 25, 2021 at 12:52 AM Martin Juneja <mj70...@gmail.com> wrote:
>
>>         External Email - Use Caution
>>
>>
>> Hi all,
>>
>> I am reposting my concerns below. I would really appreciate any help.
>>
>> ---------- Forwarded message ---------
>> From: Martin Juneja <mj70...@gmail.com>
>> Date: Fri, Jun 18, 2021 at 6:16 PM
>> Subject: Yeo atlas for children!
>> To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
>>
>>
>> Dear experts,
>>
>> I used Yeo's 17-network parcellation to study the association between
>> network-wise cortical volume and a clinical variable in adolescents. I
>> received the following two questions from the reviewers regarding the use
>> of Yeo's atlas. I would really appreciate if someone could help us in
>> addressing these questions:
>>
>>
>>
>> *1) Could the author justify their choice to use a functional
>> parcellation on structural data? How is using this parcellation helpful in
>> understanding the brain? All in all, the authors need to justify the
>> superiority of using Yeo's 17-area parcellations on structural data over
>> other methods of parcellation/analysis. *
>> *2) One issue with Yeo's parcellation also stems from the fact that this
>> parcellation was derived from adult connectomes. Could the authors also
>> address this issue and provide examples that justify their approach.*
>>
>> Thanks.
>> _______________________________________________
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