On Mon, 23 Sep 2013, Vadim Axel wrote: > Hi, > There are two commonly used approaches to analyze the data of the > experiment below: > Simple design with two conditions (A and B), which �both activate large > network of well established regions (e.g. conjunction analysis of A > > baseline and B > baseline). The question is whether we can find neural > correlates of difference between the two.
the answer I guess is: yes -- we should be able to if "conditions are right" (power, etc) > Direct group-level analysis > comparison between A and B results in small activations (~5% of volume > comparing to commonality of conjunction analysis) and these activations > are located mostly outside the main network, all over the brain. Remembering that statistics is there only to help us to support/reject our hypotheses, not really to be treated as "the ground truth", you might have set up your analysis to include only the "differential" activations which are within the main network, since that is where you believe activity or relevance is. > Given > that the result is dependent on p-value threshold, it looks like a > classical blobology. �Another approach is to select (independently) the > ROIs of the common network nodes and to run MVPA. or even run MVPA on full brain happen you data has enough power to cope with such large initial feature space. > With this analysis I > successfully discriminate between the two conditions. So, two people > analyzing the same data can draw absolutely different conclusions: one > would say, that small regions X, Y, Z are the regions, which discriminate > between conditions A and B; which given your results above would be sensible conclusion imho besides that I would have clarified that this set of regions is not necessarily exhaustive (thus "the regions" statement might be a bit too strong) > the other, in contrast, would say that since > both A and B activate common network depending on what is implied by "activate common network" I might argue because it would be hard (if not impossible) to prove null hypothesis here that the network is the same for both A and B. > , the difference between the two lies > within this network (different patterns of activity). � > What approach is more reliable in your opinion? as I stated above (if I got the question right), the 2nd approach would require (much) more analysis to support itself. -- Yaroslav O. Halchenko, Ph.D. http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org Senior Research Associate, Psychological and Brain Sciences Dept. Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 WWW: http://www.linkedin.com/in/yarik _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
