<div dir="ltr">Hi Rob,<div><br></div><div>Yes, as Arno mentioned, a major upgrade is forthcoming soon. Work on new public releases of SIFT had to be postponed for a while, but has now resumed.</div><div><br></div>
<div>In the introduction of the SIFT manual (<a href="http://sccn.ucsd.edu/wiki/Chapter_2._Introduction" target="_blank">http://sccn.ucsd.edu/wiki/Chapter_2._Introduction</a>) is a list of other toolboxes for (granger-causal) connectivity analysis which you might be interested in exploring. Since this list was compiled (2010), there has also been released the Neurophysiological Biomarkers Toolbox (<a href="http://www.nbtwiki.net/" target="_blank">http://www.nbtwiki.net/</a>) which offers some connectivity analysis options (although I personally have no experience using the toolbox). If you are interested in a model-free (and non-linear) approach to effective connectivity, I recommend TRENTOOL (<a href="http://www.trentool.de/" target="_blank">http://www.trentool.de/</a>) for Transfer Entropy analysis. Of course there is also Dynamic Causal Modeling implemented in SPM.</div>
<div><br></div><div>However, as Arno mentioned, SIFT (even the alpha version) does implement many of the multivariate connectivity measures currently in use in the neuroscience community -- at least those that can be derived from an autoregressive representation (e.g. various flavors of coherence and granger-causality). A partial list of these measures is available here: <a href="http://sccn.ucsd.edu/wiki/Chapter_4.3._A_partial_list_of_VAR-based_spectral,_coherence_and_GC_estimators" target="_blank">http://sccn.ucsd.edu/wiki/Chapter_4.3._A_partial_list_of_VAR-based_spectral,_coherence_and_GC_estimators</a>. </div>
<div><br></div><div>There are many, many other functional and effective connectivity methods out there (and as many review papers summarizing them). The central question is always whether the prior assumptions inherent in any modeling approach are suitable for the data you are modeling and the particular inferences you hope to make (e.g. correlation vs. causality, linear vs. non-linear interactions, time-varying vs. stationary network analysis, time-domain or frequency-domain analysis, ...).</div>
<div><br>
</div><div>Tim</div><div><br></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Sun, Apr 21, 2013 at 10:18 AM, Arnaud Delorme <span dir="ltr"><<a href="mailto:arno@ucsd.edu" target="_blank">arno@ucsd.edu</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Dear Rob,<br>
<br>
Tim is preparing a major SIFT upgrade (released within 2 months) hopefully this month. This upgrade will include more measures and group statistics.<br>
<br>
There are other projects available, such as the econnectome <a href="http://econnectome.umn.edu/" target="_blank">http://econnectome.umn.edu/</a> and the Fieldtrip connectivity tools <a href="http://fieldtrip.fcdonders.nl/tutorial/connectivity" target="_blank">http://fieldtrip.fcdonders.nl/tutorial/connectivity</a> (and many others). However, SIFT is the project that has the most flexibility to my knowledge in terms of measures and statistics.<br>
<br>
Arno<br>
<div><div><br>
On 18 Apr 2013, at 20:11, robert coben wrote:<br>
<br>
> I would like to get feedback from list members on any forms of multivariate coherence that they have worked with in eeglab including SIFT. Has there been an upgrade of SIFT since alpha was released? Any feedback on other forms of source coherence would be appreciated as well.<br>
><br>
> If there are any similar programs you have worked with outside of the eeglab environment I would love to hear about those as well.<br>
><br>
> Thanks,<br>
><br>
> Dr Rob Coben<br>
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</div></div></blockquote></div><br><br clear="all"><div><br></div>-- <br>--------- αντίληψη -----------
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