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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RE: Motion Parameters posted by boshra shams 3 hours ago

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Using CONN preprocessed and denoised data to do ICA in GIFT posted by jen681 on Jan 20

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RE: Motion Parameters posted by Stephen L. on Jan 20

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Questions about Harvard-Oxford Subcortical parcellation used for Conn toolbox posted by Joey Contreras on Jan 18

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BOLD Signal Falling to Zero: What On Earth Is Happening Here? posted by thosvarley on Jan 18

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RE: Second-level covariates QA_ValidScans  posted by Stephen L. on Jan 17

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importing second level covariates posted by David Pagliaccio on Jan 17

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Preprocessing stage "Cannot read header extension." posted by mustafa bayraktar on Jan 17

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Preprocessing stage "Cannot read header extension." posted by Diana Parvinchi on Jan 17

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Second-level covariates QA_ValidScans  posted by Theresa Köbe on Jan 17