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<li><ahref="#news">NEWS</a></li>
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<li><ahref="#people">PEOPLE</a></li>
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<li><ahref="#papers">PAPERS</a></li>
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<li><ahref="#software">SOFTWARE</a></li>
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<li><ahref="#contact">CONTACT</a></li>
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<h2>Jan 2020: Gradients in Brain organization workshop in Montreal</h2>
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<h2>June 2020: Gradients in Brain organization workshop in Montreal</h2>
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<p> MICA and friends co-organized an official OHBM neuroimaging satellite workshop on cortical gradients, to be held on June 24 i.e. 2 days before the OHBM meeting in June 2020.
<p>BrainSpace is a lightweight cross-platform toolbox primarily intended for macroscale gradient mapping and analysis of neuroimaging and connectome level data. The current version of BrainSpace is available in Python and MATLAB, programming languages widely used by the neuroimaging and network neuroscience communities. The toolbox also contains several maps that allow for exploratory analysis of gradient correspondence with other brain-derived features, together with tools to generate spatial null models. </br></br>
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Please visit the brainspace docu <ahref="https://brainspace.readthedocs.io/en/latest/" target="_blank">here</a></br></br>
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Get the tools at our labs <ahref="https://github.com/MICA-MNI/BrainSpace" target="_blank">github</a>.
<p>SurfStat is a Matlab toolbox for the statistical analysis of univariate and multivariate surface and volumetric data using linear mixed effects models and random field theory, developed by Keith Worsley in 2009.
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</br></br>
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Get surfstat <ahref="https://mica-mni.github.io/surfstat/" target="_blank">here</a>.
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