CONN is a functional connectivity toolbox widely used in neuroscience and neuroimaging research. It is primarily designed for the analysis and visualization of functional magnetic resonance imaging (fMRI) data. CONN provides a user-friendly interface that facilitates the preprocessing, statistical analysis, and visualization of functional connectivity networks. Key features of CONN include: 1. **Preprocessing**: CONN allows for the preprocessing of fMRI data, including steps like motion correction, normalization, and spatial smoothing.
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