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
>
> 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
il.com]
Sent: Friday, October 06, 2017 5:33 PM
To: hcp-users@humanconnectome.org
Subject: Re: [HCP-Users] netmats prediction of fluid intelligence
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 manuscri
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
> Date: Thursday, October 5, 2017 at 10:01 PM
> To: "Glasser, Matthew" <glass...@wustl.edu <mailto:glass...@wustl.edu>>
> Cc: "hcp-users@humanconnectome.org <mailto:hcp-users@humanconnectome.org>"
> <hcp-users@humanconnectome.org <mailto:hcp-us
edu>
Date: Thursday, October 5, 2017 at 10:01 PM
To: "Glasser, Matthew" <glass...@wustl.edu>
Cc: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
Subject: Re: [HCP-Users] netmats prediction of fluid intelligence
Certainly one difference is t
;
> Matt.
>
> From: <hcp-users-boun...@humanconnectome.org> on behalf of Benjamin
> Garzon <benjamin.gar...@ki.se>
> Date: Thursday, October 5, 2017 at 1:39 PM
> To: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
> Subject: [HCP-User
