[Neuroimaging] GC analysis with nitime

[Mike V]

Thank you Bennet, I'll wait for the next release then.
Best regards,
Mike

On Sat, 6 Jul 2019 at 14:18, Bennet Fauber <bennet at umich.edu> wrote:

> Mike,
>
> I reported the blank plots in an Issue at GitHub.  I think there may
> be more that is needed before they make a new release and refresh the
> tutorial page.
>
>     https://github.com/nipy/nitime/pull/176
>     https://github.com/nipy/nitime/issues/173
>
> Sorry, can't help with the rest.
>
> On Fri, Jul 5, 2019 at 7:37 PM Mike V <mikeltv95 at gmail.com> wrote:
> >
> > Hello,
> >
> > I'm following the Granger Causality tutorial in the nitime's webpage but
> I have few questions:
> >
> > 1- In the tutorial the values f_ub = 0.15 and f_lb = 0.02 are used for
> the bounds on the frequency band of interest. Are these values recommended
> for all resting state data-sets or do they depend on the particular
> acquisition parameters?
> >
> > 2- I do not understand the causality plots (fig03 and fig04), they are
> both blank. What does it mean? I was expecting some variation like in the
> coherence and correlation matrices...
> >
> > 3- the tutorial shows the analysis of one single subject. How can I
> compute group statistics? Can I simply extract the values stored in g1 and
> then run a one sample t-test across all subjects' g1 scores?
> >
> > 4- how can I get GrangerAnalyzer to display significance?
> >
> > 5- I noticed that the tutorial data has been motion corrected only. Is
> it not necessary to correct for other sources of noise like physiological
> noise and linear drift before computing GC?
> >
> > Many thanks in advance!
> >
> > Best regards,
> > Mike
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