References
1. Ocali O, Atalar E. Ultimate intrinsic signal‐to‐noise ratio in MRI. Magnetic resonance in medicine 1998;39(3):462-473
2. Wiesinger F, Boesiger P, Pruessmann KP. Electrodynamics and ultimate SNR in parallel MR imaging. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 2004;52(2):376-390
3. Vaughan JT, Garwood M, Collins CM, et al. 7T vs. 4T: RF power, homogeneity, and signal‐to‐noise comparison in head images. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 2001;46(1):24-30
4. Ugurbil K, Xu J, Auerbach EJ, et al. Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. Neuroimage. Oct 15
5. Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E., Yacoub, E., Ugurbil, K., & Wu-Minn HCP Consortium. (2013). The WU-Minn human connectome project: an overview. Neuroimage, 80, 62-79.
6. Vu, A. T., Auerbach, E., Lenglet, C., Moeller, S., Sotiropoulos, S. N., Jbabdi, S., ... & Ugurbil, K. (2015). High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project. Neuroimage, 122, 318-331.
7. Vizioli, L., Moeller, S., Dowdle, L., Akçakaya, M., De Martino, F., Yacoub, E., & Uğurbil, K. (2021). Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging. Nature communications, 12(1), 5181
8. Yeh FC, Wedeen VJ, Tseng WYI. Generalized q-Sampling Imaging. Ieee Transactions on Medical Imaging. Sep 2010;29(9):1626-1635.
9. Yeh FC, Verstynen TD, Wang YB, Fernández-Miranda JC, Tseng WYI. Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy. Plos One. Nov 15 2013;8(11).
10. Yeh FC. Shape analysis of the human association pathways. Neuroimage. Dec 2020;223:117329
11. Setsompop, K., Kimmlingen, R., Eberlein, E., Witzel, T., Cohen-Adad, J., McNab, J. A., ... & Wald, L. L. (2013). Pushing the limits of in vivo diffusion MRI for the Human Connectome Project. Neuroimage, 80, 220-233.
12. Vu, A., Beckett, A., Torrisi, S., Ahn, S., Koehler, M., Dietz, P., & Feinberg, D. A. (2022). Evaluation of high resolution diffusion MRI on the next-generation 7T scanner. In International Society for Magnetic Resonance in Medicine (pp. 7-12).
13. Ramos-Llordén, G., Lee, H. H., Davids, M., Dietz, P., Krug, A., Kirsch, J. E., ... & Huang, S. Y. (2025). Ultra-high gradient connectomics and microstructure MRI scanner for imaging of human brain circuits across scales. Nature biomedical engineering, 1-16.
14. Bookheimer, S. Y., Salat, D. H., Terpstra, M., Ances, B. M., Barch, D. M., Buckner, R. L., ... & Yacoub, E. (2019). The lifespan human connectome project in aging: an overview. Neuroimage, 185, 335-348.
15. Uğurbil, K. (2014). Magnetic resonance imaging at ultrahigh fields. IEEE transactions on biomedical engineering, 61(5), 1364-1379.