Hi all to chime in: we have done extensive work over the past year to replicate and understand the prediction of IQ obtained in the Finn study. Our manuscript is about to be submitted. Take away points: -- the high effect size they find is partly due to small sample size (118 subjects) and to the specific subject sample -- their method still has predictive value in the larger sample of subjects, though the effect size is much reduced (similar to Megatrawl without confounds) -- the specifics of preprocessing/denoising and predictive model don't have a huge effect on the final result (when enough subjects are included)
See also the work presented by Feilong Ma at OHBM this year, which took great care in aligning subjects (MSMall + whole-brain hyperalignment) in a much larger sample than the Finn study: https://files.aievolution.com/hbm1701/abstracts/37710/3928_Ma.pdf Happy to discuss further if someone is interested. - Julien *Postdoc | *Cedars-Sinai Medical Center // Caltech | +1 (310)423-8377 | nigiri.caltech.edu/~jdubois _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
