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CBPtools: A Python package for regional connectivity-based parcellation
Materials and code for network-based predictive modeling
A Python package for conducting ALE (Activation Likelihood Estimation) meta-analyses, supporting a range of analysis workflows: standard ALE, probabilistic or cross-validated ALE, standard ALE contrast, and balanced ALE contrast.
CBPtools: A Python package for regional connectivity-based parcellation
Pipeline to preprocess raw T1-weighted (T1w) and diffusion-weighted MRI (dwMRI) data, extract the whole-brain tractography (WBT) and calculate the structural connectivity (SC)
Pipeline to preprocess raw T1w and fMRI data, normalize it to the standard MNI152 space and extract the blood-oxygenation level dependent (BOLD) signals and corresponding functional connectivity (FC).
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