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: Use SPM8 new segment instead of normal seg? posted by prady umna 8 hours ago

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changing ART threshold in version 14 posted by Mary Newsome 9 hours ago

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RE: 2x2x2x2 factorial  posted by Pavol Mikolas 13 hours ago

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statistical 'correction' in graph theory posted by Merina Su 14 hours ago

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4D series without first four scans posted by Tobias Overath 16 hours ago

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Use SPM8 new segment instead of normal seg? posted by fred Sampedro on Oct 16

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Structural deformation field to functional posted by Mary Newsome on Oct 14

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RE: Processed rsfMRI file in native space? posted by s s on Oct 14

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Between condition analysis interpretation posted by shikha ahuja on Oct 13

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RE: 2 sess., covariate associated with only one posted by Renata Androvicova on Oct 13