Hi Michael, I don't seem to have an average myelin map as an output of the analysis. Is it just something I can make by merging and averaging individual myelin maps in workbench, or should it have been the output of the GLM analysis? Sorry for this most likely really basic question. Thanks in advance! Best, Darko
On Tue, Aug 7, 2018 at 3:53 PM, Harms, Michael <[email protected]> wrote: > > > It might be helpful to simply see the average myelin map for each group. > Do those look appropriate? > > > > Cheers, > > -MH > > > > -- > > Michael Harms, Ph.D. > > ----------------------------------------------------------- > > Associate Professor of Psychiatry > > Washington University School of Medicine > > Department of Psychiatry, Box 8134 > > 660 South Euclid Ave > <https://maps.google.com/?q=660+South+Euclid+Ave&entry=gmail&source=g>. > Tel: 314-747-6173 > > St. Louis, MO 63110 Email: [email protected] > > *From: *<[email protected]> on behalf of Darko > Komnenić <[email protected]> > *Date: *Tuesday, August 7, 2018 at 6:50 AM > *To: *"Glasser, Matthew" <[email protected]> > > *Cc: *"[email protected]" <[email protected]> > *Subject: *Re: [HCP-Users] Finding a significant difference only in one > hemisphere > > > > Hi Matt, > > I'm not sure what you mean by a simple effect size map. The file overlaid > on the surfaces here is a file showing the difference between control and > patient groups, after correction for multiple comparisons. Do I use that to > make an effect size map, or something else? > > Best, > > Darko > > > > On Mon, Aug 6, 2018 at 9:03 PM, Glasser, Matthew <[email protected]> > wrote: > > Can you just make a simple effect size map with + and – and no > thresholding? > > > > Matt. > > > > *From: *Darko Komnenić <[email protected]> > *Date: *Monday, August 6, 2018 at 12:09 PM > > > *To: *Matt Glasser <[email protected]> > *Cc: *"[email protected]" <[email protected]> > *Subject: *Re: [HCP-Users] Finding a significant difference only in one > hemisphere > > > > Hi Matt, > > here's a screenshot of an unthresholded map. > > Thanks in advance! > > Best, > > Darko > > > > On Fri, Aug 3, 2018 at 10:12 PM, Glasser, Matthew <[email protected]> > wrote: > > Thresholded maps of statistical significance are essentially > uninterpretable as to the existence of artifacts. Please provide an > unthresholded effect size map. > > > > Peace, > > > > Matt. > > > > *From: *Darko Komnenić <[email protected]> > *Date: *Friday, August 3, 2018 at 12:12 PM > *To: *Matt Glasser <[email protected]> > *Cc: *"[email protected]" <[email protected]> > *Subject: *Re: [HCP-Users] Finding a significant difference only in one > hemisphere > > > > Hi Matt, > > here's a screenshot > > Thanks in advance! > > Best, > > Darko > > > > On Thu, Aug 2, 2018 at 10:01 PM, Glasser, Matthew <[email protected]> > wrote: > > How about posting some pics. > > > > Matt. > > > > *From: *<[email protected]> on behalf of Darko > Komnenić <[email protected]> > *Date: *Thursday, August 2, 2018 at 9:16 AM > *To: *"[email protected]" <[email protected]> > *Subject: *[HCP-Users] Finding a significant difference only in one > hemisphere > > > > Dear HCP experts, > > I ran an analysis comparing cortical myelination between patients and > controls and found a significant difference between groups, but only in the > left hemisphere. What's making me doubt my results is that the differences > are observed in large areas of the left hemisphere, but absolutely nowhere > in the right, and we have no theoretical reasons to expect such a > lateralization. > > Do you have any ideas what might have gone wrong? I have 17 patients and > 25 controls, is this maybe too small of a sample? Should I double check > certain analysis steps? Basically any ideas are welcome, since I really > cannot interpret these findings at all, it seems. > > Thanks in advance! > > Best, > > Darko > > _______________________________________________ > HCP-Users mailing list > [email protected] > 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. 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