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BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

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In other words, after alignment, the order of the original gradients may change, and the order of the corresponding lambda values may also change. How can I obtain this information?

Dear experts, I am a novice at gradient analysis. From the tutorials, it seems that one needs a functional connectivity matrix of a certain resolution (e.g., 400x400 Schaffer parcellation) to...

Hello, I would like to use diffusion_map to obtain the embedding and eigenvalues. I provided a symmetric cosine similarity matrix (no negative value) as input data with an alpha value...

- added views to the default views of surface_plotting - added colormaps