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资源简介：
MGH Connectome Diffusion Microstructure Dataset
应用场景：
创建时间：
2022-01-10
相关数据集
File S1 - Associations between White Matter Microstructure and Cognitive Performance in Old and Very Old Age
Supporting tables. Table S1, Standardized loadings on the latent factors in the combined structural equation models of fractional anisotropy (FA) and mean diffusivity (MD) for the total sample. Tabl
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Clusters of significant FA and RD differences between Stroke groups with good and poor recovery and Healthy Controls group.
Abbreviations: SG = Stroke group with good recovery; SP = Stroke group with poor recovery; HC = Healthy Control group; BG = Basal Ganglia; T = Temporal; F = Frontal; P = Parietal; L = Left.
Figshare2015-12-02 更新30
Correlations between NODDI and DTI parameters, controlling for age and sex.
Correlations between NODDI and DTI parameters, controlling for age and sex.
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Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data
This article focuses on the relationship between a measure of creativity and the human brain network for subjects in a brain connectome dataset obtained using a diffusion weighted magnetic resonance i
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Proportion of WM subtype in the main fasciculi.
Proportion of WM subtype in the main fasciculi.
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