Abstract
The first phase of the Human Connectome Project pioneered advances in MRI technology, including ultra-high gradients and accelerated sequences, that have now found their way into commercially available scanners. These technologies have led to a dramatic improvement in the spatial, angular, and diffusion resolution that is feasible in vivo. However, they still fall short of the scale where the microstructural properties of cells in the human brain can be measured accurately. Here we present an overview of the Connectome 2.0 project, which aims to bridge this gap by building the next-generation instrument for imaging microstructure and connectional anatomy in the human brain.
This work is supported by NIH/NIBIB award U01-EB026996.
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Yendiki, A., Witzel, T., Huang, S.Y. (2020). Connectome 2.0: Cutting-Edge Hardware Ushers in New Opportunities for Computational Diffusion MRI. In: Bonet-Carne, E., Hutter, J., Palombo, M., Pizzolato, M., Sepehrband, F., Zhang, F. (eds) Computational Diffusion MRI. Mathematics and Visualization. Springer, Cham. https://doi.org/10.1007/978-3-030-52893-5_1
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