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- W2946149384 abstract "Advances in diffusion MRI (dMRI)Diffusion MRI have led to discoveries of factors that affect brain microstructure and connectivity in health and disease. The small size of many neuroimaging studies led to concerns about poor reproducibility of research findings, and calls for the comparison and poolingData pooling of multi-cohort datasets to establish the consistency of reported effects. Across studies diffusion MRIDiffusion MRI protocols vary in spatial, angular and q-space resolution, b-value, as well as hardware used—all of which affect measured diffusion parameters. Efforts to compare and poolData pooling dMRIDiffusion MRI measures use meta- or mega- analytical techniques to compensate for these sources of variance. Meta-analytical methods gauge the consistency of effects, and mega-analytical methods involve mathematical or statistical transformations of the data. Here, we review some recent advances that allowed the diffusion community to create large scale population studies with greater rigor and generalizability than was previously attainable by individual studies." @default.
- W2946149384 created "2019-05-29" @default.
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- W2946149384 date "2019-01-01" @default.
- W2946149384 modified "2023-10-15" @default.
- W2946149384 title "Challenges and Opportunities in dMRI Data Harmonization" @default.
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- W2946149384 doi "https://doi.org/10.1007/978-3-030-05831-9_13" @default.
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