Germane to this discussion is that using the same methodology, but a different sample of subjects, the same Yale group has recently reported that the correlation of predicted gF (from netmats) and observed gF was r=0.22.
https://www.ncbi.nlm.nih.gov/pubmed/28968754 cheers, -MH -- Michael Harms, Ph.D. ----------------------------------------------------------- Conte Center for the Neuroscience of Mental Disorders Washington University School of Medicine Department of Psychiatry, Box 8134 660 South Euclid Ave.Tel: 314-747-6173 St. Louis, MO 63110Email: mha...@wustl.edu On 10/7/17, 2:43 PM, "hcp-users-boun...@humanconnectome.org on behalf of Nina de Lacy" <hcp-users-boun...@humanconnectome.org on behalf of dela...@u.washington.edu> wrote: This is a very interesting thread and discussion and many of the observations conform with ongoing work I'm doing in children/adolescents which generally suggests that predicting intelligence measures is very challenging using connectivity measures, after including confounders within multivariate frameworks. I personally wonder not only about confounding effects, but also the difficulty of working with neuropsychological 'intelligence' measures designed for other purposes than perhaps some of what we are trying to get at. As well, I would raise the question of our samples, which most/much of the time in neuroimaging rarely include individuals with lower IQs, therefore distorting the distribution. All that said, what I really joined in for was to ask Julien if he could comment more on what he meant by highlighting that part of the effect obtained in the FInn study was due to the "specific subject sample" used. Was this due to certain characteristics of the smaller subject sample? I of course respect this may be content germane to an as yet unpublished paper you may not want to share in detail :) Nina On Sat, 7 Oct 2017, Julien Dubois wrote: > Julien, when you say the method still has predictive value in the large > sample 'without confounds', do you mean without removing confounds or after > deconfounding? It's also not > clear to me whether the scores the Ma study reported are deconfounded > or not, but I guess they are not. If one is interested in the added value of > fMRI predicting cognition (my > case), it makes sense to be conservative, so I would be interested in > knowing whether there's something left in the deconfounded space. > > > Sorry, my phrasing wasn't clear. I mean that I obtain similar results to the > Megatrawl and to the Ma poster, WITHOUT deconfounding as performed in the > Megatrawl. I will let you know how it > looks once I use the same deconfounding as in the Megatrawl, i.e.: > "Prediction takes place after removing sex, age, age^2 , sex*age, sex*age^2 , > brain & head size (as estimated by > FreeSurfer), overall head motion (a summation over all timepoints of > timepoint-to-timepoint relative head motion) and acquisition date as > confounds (the last of these is actually the > “acquisition quarter”, which is useful to include because there was a slight > change in rfMRI reconstruction code during the third acquisition > year-quarter; in future we will instead use > the actual reconstruction code version as the confound)." > - Julien > > _______________________________________________HCP-Users mailing > listHCP-Users@humanconnectome.orghttp://lists.humanconnectome.org/mailman/listinfo/hcp-users > > > This message and any attached files might contain confidential information protected by federal and state law. The information is intended only for the use of the individual(s) or entities originally named as addressees. The improper disclosure of such information may be subject to civil or criminal penalties. If this message reached you in error, please contact the sender and destroy this message. Disclosing, copying, forwarding, or distributing the information by unauthorized individuals or entities is strictly prohibited by law. _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail. _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
