CONN : functional connectivity toolbox

CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI).

Connectivity measures include Seed-to-Voxel connectivity maps, ROI-to-ROI connectivity matrices, graph properties of connectivity networks, and Voxel-to-Voxel measures (intrinsic connectivity, local correlation maps, and others).

CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing.

Highlights:
Control of physiological/movement effects (CompCor)
Artifact detection&scrubbing (ART)
Weighted correlation & PPI models for task-related designs
Dynamic connectivity analyses
FWE-control of connectivity matrices (NBS)
Connectome-wide analyses (MVPA)
Surface- and Volume-based analyses
Repeated measures and mixed within- between-subjects designs
Gui and automated batch options

http://web.mit.edu/swg/software.htm
SPM8/SPM12 compatible
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Specifications

Category:Connectivity Analysis, Modeling, Multivariate Analysis, Principal Component Analysis, Regression, Correlation, Visualization
License:MIT/X Consortium License
Development Status:4 - Beta
Domain:MR
Intended Audience:Developers, End Users
Natural Language:English
Operating System:OS Independent
Programming Language:MATLAB
Supported Data Format:ANALYZE, NIfTI-1

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RE: Questions about ANOVA models posted by Jeff Browndyke 4 hours ago

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RE: Questions about ANOVA models posted by Alfonso Nieto-Castanon 4 hours ago

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RE: 4D. nii only one image posted by Alfonso Nieto-Castanon 4 hours ago

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RE: Batch example denoising posted by Bradley Taber-Thomas 4 hours ago

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RE: Movement  posted by Bradley Taber-Thomas 4 hours ago

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RE: Batch example denoising posted by Alfonso Nieto-Castanon 4 hours ago

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RE: Movement  posted by Alfonso Nieto-Castanon 5 hours ago

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RE: Questions about ANOVA models posted by Jeff Browndyke 8 hours ago

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4D. nii only one image posted by Traute Demirakca 8 hours ago

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Batch example denoising posted by Bradley Taber-Thomas on Sep 30