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Writing a paper #382
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In modern society, analyzing the connectivity inside the brain becomes vital for neural scientists. It helps people to understand the cognitive phenotypes and the activity happened inside the brain. A connectome is an abstract mathematical model of brain structure, a coding technology analyzing the interactions among the brain. NeuroData’s MRI Graphs package, also known as NDMG, is a perfect pipeline uses structural and diffusion MRI data to estimate multi-resolution connectomes. This paper provides a comprehensive MRI connectomes dataset using NDMG package. We collect all the MRI image data through the Internet, then preprocess the image to reduce distortions. After registration, reconstruction, tractography, finally get the connectome. The advantages of NDMG pipeline is that it can handle all kinds of various multi-study dataset. If different pipelines are used on different datasets, or the same pipeline is applied across datasets but requires substantial tuning or manual intervention, or is run using different operating systems, it will waste scientists a lot of time. The dataset we presents can perfectly solve this problem. |
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