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Using GPUs to accelerate computational diffusion MRI: from microstructure estimation to tractography and connectomes (2018)
Journal Article
Hernandez-Fernandez, M., Reguly, I., Jbabdi, S., Giles, M., Smith, S., & Sotiropoulos, S. N. (2019). Using GPUs to accelerate computational diffusion MRI: from microstructure estimation to tractography and connectomes. NeuroImage, 188, 598-615. doi:10.1016/j.neuroimage.2018.12.015

The great potential of computational diffusion MRI (dMRI) relies on indirect inference of tissue microstructure and brain connections, since modelling and tractography frameworks map diffusion measurements to neuroanatomical features. This mapping ho... Read More

Lifespan pigmentation changes of the substantia nigra detected by neuromelanin-sensitive MRI (2018)
Journal Article
Xing, Y., Sapuan, A., Dineen, R., & Auer, D. P. (2018). Lifespan pigmentation changes of the substantia nigra detected by neuromelanin-sensitive MRI. Movement Disorders, 33(11), 1792-1799. doi:10.1002/mds.27502

Background: Neuromelanin is a pigment with strong iron-chelating properties preferentially found in dopaminergic neurons of the substantia nigra, pars compacta (SNpc). Parkinson's disease is characterized by pronounced, MRI detectable neuromelanin lo... Read More

How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes (2018)
Journal Article
Tewarie, P., Abeysuriya, R., Byrne, Á., O'Neill, G. C., Sotioropoulos, S. N., Brookes, M. J., & Coombes, S. (2019). How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes. NeuroImage, 186, 211-220. doi:10.1016/j.neuroimage.2018.10.079

Functional networks obtained from magnetoencephalography (MEG) from different frequency bands show distinct spatial patterns. It remains to be elucidated how distinct spatial patterns in MEG networks emerge given a single underlying structural networ... Read More