CONN : functional connectivity toolbox

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

CONN includes a rich set of connectivity analyses (seed-based correlations, ROI-to-ROI graph analyses, group ICA, masked ICA, generalized PPI, ALFF, ICC, GCOR, LCOR, etc.) in a simple-to-use and powerful software package

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:
Comprehensive quality assurance methods/measures/displays (scrubbing/ART, CompCor/ICA/GSR denoising, GCOR/FD QC covariates)
Connectome-wide analyses (ICA, MVPA)
Dynamic connectivity analyses (dyn-ICA)
FWE-control of connectivity matrices (NBS)
Non-parametric cluster-level statistics (permutation tests)
ANOVA, regression, longitudinal, and mixed designs

Parallelization options (SGE/Grid Engine, PBS/Torque, LSF, Slurm)
Mac/Windows/Linux/HPC
SPM8/SPM12

http://www.conn-toolbox.org
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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, MGH/MGZ, NIfTI-1

Recent Activity

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CONN - Selection of customised ROI  posted by Bianca De Blasi on Jun 23

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Weird cut-off activation map single subject posted by Stephen L. on Jun 22

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RE: Single subject analysis posted by Stephen L. on Jun 22

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How to denoise with global correlation GCOR posted by Stephen L. on Jun 22

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Age and Gender as covariates posted by Marta Cano on Jun 22

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RE: Design setup for multi-session experiment posted by Nicole Nissim on Jun 21

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RE: ICA images posted by marta555 on Jun 21

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RE: ICA images posted by marta555 on Jun 21

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realignment basic question posted by Jennifer Siegel  on Jun 20

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Timecourse analysis in ICA posted by Andrew Martin on Jun 19