GIMME (Group Iterative Multiple Model Estimation)

**** We have transitioned GIMME completely into R. The R package is maintained. ****
Group Iterative Multiple Model Estimation (GIMME) is a free Matlab toolbox for directed functional connectivity analysis of the fMRI BOLD signal from predefined regions of interest. GIMME reliably recovers the true structure of connections and estimates the weights attributed to each connection (equivalently termed “path” or “adjacency”). Importantly, patterns are obtained at both the group and individual levels. GIMME is one of the few approaches that accommodates heterogeneity in brain connectivity patterns across individuals within a sample. Req: Matlab, Lisrel, preproccesing toolbox/software. Gates, K. M. & Molenaar, P. C. M. (2012). Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples, NeuroImage, Volume 63, Issue 1(15), 310-319, http://dx.doi.org/10.1016/j.neuroimage.2...

Specifications

Category:Connectivity Analysis, Modeling, Multivariate Analysis, Time Domain Analysis
License:Freeware
Domain:MR
Intended Audience:End Users
Natural Language:English
Operating System:Windows
Programming Language:MATLAB

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RE: GIMME for event related designs?  posted by Oliver Contier on Jul 25

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number of nodes posted by Toni Abe on May 22

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RE: GIMME for event related designs?  posted by Kathleen Gates on May 10

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RE: Configuration posted by Kathleen Gates on May 10

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RE: Configuration posted by Rajpreet Chahal on May 9

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RE: Group Level SEM posted by Kathleen Gates on Mar 17

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GIMME for event related designs?  posted by Michael Tennekoon on Mar 15

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Group Level SEM posted by Brittany Martinez on May 2, 2016

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Configuration posted by Peter Clasen on Jun 10, 2015

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Main Folder documentation

GIMME Manual (Version 12) posted by Kathleen Gates on Jan 29, 2014