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.

Method highlights:
Gui and automated batch options
Control of physiological/movement confounds (CompCor)
Artifact detection/scrubbing (ART)
Surface- and Volume- based connectivity maps
Weighted correlation & PPI models for task-related designs
Spectral/temporal decomposition of FC measures
FWE-control of connectivity matrices (NBS)
Analyses of voxel-to-voxel connectivity maps (MVPA)
Repeated measures and mixed within- between-subjects designs

http://web.mit.edu/swg/software.htm
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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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Connectome-MVPA paper posted by Roger Beaty 12 hours ago

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Conn Toolbox Error posted by roger newman-norlund 14 hours ago

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RE: Analysing .CSV files/matrices posted by Merina Su on Jul 24

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voxel-to-voxel level connectivity matrix posted by Yifei Zhang on Jul 24

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segmented CSF file missing signal posted by Mary Newsome on Jul 23

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Movement  posted by Kaylah Curtis on Jul 23

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RE: How to look at global connectivity posted by Alfonso Nieto-Castanon on Jul 22

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How to look at global connectivity posted by Eileen Persichetti on Jul 22

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RE: Masking posted by Julia Landsiedel on Jul 22

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RE: PPI Second Level (selecting a source) posted by Alfonso Nieto-Castanon on Jul 21