Professor STAMATIOS SOTIROPOULOS's Outputs (10)

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. https://doi.org/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 about Using GPUs to accelerate computational diffusion MRI: from microstructure estimation to tractography and connectomes.

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., Sotiropoulos, 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. https://doi.org/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 about How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes.

Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction (2018)
Journal Article
Bastiani, M., Cottaar, M., Fitzgibbon, S. P., Suri, S., Alfaro-Almagro, F., Sotiropoulos, S. N., Jbabdi, S., & Andersson, J. (2019). Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction. NeuroImage, 184, 801-812. https://doi.org/10.1016/j.neuroimage.2018.09.073

Diffusion MRI data can be affected by hardware and subject-related artefacts that can adversely affect downstream analyses. Therefore, automated quality control (QC) is of great importance, especially in large population studies where visual QC is no... Read More about Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction.

Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects (2018)
Journal Article
Harms, M. P., Somerville, L. H., Ances, B. M., Andersson, J., Barch, D. M., Bastiani, M., Bookheimer, S. Y., Brown, T. B., Buckner, R. L., Burgess, G. C., Coalson, T. S., Chappell, M. A., Dapretto, M., Douaud, G., Fischl, B., Glasser, M. F., Greve, D. N., Hodge, C., Jamison, K. W., Jbabdi, S., …Yacoub, E. (2018). Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects. NeuroImage, 183, 972-984. https://doi.org/10.1016/j.neuroimage.2018.09.060

The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are two large-scale brain imaging studies that will extend the recently completed HCP Young-Adult
(HCP-YA) project to nearly the full lifespan, collecting structural, resting-sta... Read More about Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects.

Cognition based bTBI mechanistic criteria; a tool for preventive and therapeutic innovations (2018)
Journal Article
Garcia-Gonzalez, D., Race, N. S., Voets, N. L., Jenkins, D. R., Sotiropoulos, S. N., Acosta, G., Cruz-Haces, M., Tang, J., Shi, R., & Jérusalem, A. (in press). Cognition based bTBI mechanistic criteria; a tool for preventive and therapeutic innovations. Scientific Reports, 8, Article 10273. https://doi.org/10.1038/s41598-018-28271-7

Blast-induced traumatic brain injury has been associated with neurodegenerative and neuropsychiatric disorders. To date, although damage due to oxidative stress appears to be important, the specific mechanistic causes of such disorders remain elusive... Read More about Cognition based bTBI mechanistic criteria; a tool for preventive and therapeutic innovations.

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project (2018)
Journal Article
Bastiani, M., Andersson, J. L., Cordero-Grande, L., Murgasova, M., Hutter, J., Price, A. N., Makropoulos, A., Fitzgibbon, S. P., Hughes, E. J., Rueckert, D., Suresh, V., Rutherford, M., Edwards, A. D., Smith, S., Tournier, J. D., Hajnal, J. V., Jbabdi, S., & Sotiropoulos, S. N. (2019). Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. NeuroImage, 185, 750-763. https://doi.org/10.1016/j.neuroimage.2018.05.064

The developing Human Connectome Project is set to create and make available to the scientific community a 4-dimensional map of functional and structural cerebral connectivity from 20 to 44 weeks post-menstrual age, to allow exploration of the genetic... Read More about Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.

Whole brain comparative anatomy using connectivity blueprints (2018)
Journal Article
Mars, R. B., Sotiropoulos, S. N., Passingham, R. E., Sallet, J., Verhagen, L., Khrapitchev, A. A., Sibson, N., & Jbabdi, S. (in press). Whole brain comparative anatomy using connectivity blueprints. eLife, 7, Article e35237. https://doi.org/10.7554/eLife.35237

Comparing the brains of related species faces the challenges of establishing homologies whilst accommodating evolutionary specializations. Here we propose a general framework for understanding similarities and differences between the brains of primat... Read More about Whole brain comparative anatomy using connectivity blueprints.

A gyral coordinate system predictive of fibre orientations (2018)
Journal Article
Cottaar, M., Bastiani, M., Chen, C., Dikranian, K., Van Essen, D., Behrens, T. E., Sotiropoulos, S. N., & Jbabdi, S. (2018). A gyral coordinate system predictive of fibre orientations. NeuroImage, 176, https://doi.org/10.1016/j.neuroimage.2018.04.040

When axonal fibres approach or leave the cortex, their trajectories tend to closely follow the cortical convolutions. To quantify this tendency, we propose a three-dimensional coordinate system based on the gyral geometry. For every voxel in the brai... Read More about A gyral coordinate system predictive of fibre orientations.

Bayesian optimization of large-scale biophysical networks (2018)
Journal Article
Hadida, J., Sotiropoulos, S. N., Abeysuriya, R. G., Woolrich, M. W., & Jbabdi, S. (2018). Bayesian optimization of large-scale biophysical networks. NeuroImage, 174, https://doi.org/10.1016/j.neuroimage.2018.02.063

The relationship between structure and function in the human brain is well established, but not yet well characterised. Large-scale biophysical models allow us to investigate this relationship, by leveraging structural information (e.g. derived from... Read More about Bayesian optimization of large-scale biophysical networks.

A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks (2018)
Journal Article
Abeysuriya, R. G., Hadida, J., Sotiropoulos, S. N., Jbabdi, S., Becker, R., Hunt, B. A., Brookes, M. J., & Woolrich, M. W. (in press). A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks. PLoS Computational Biology, 14(2), Article e1006007. https://doi.org/10.1371/journal.pcbi.1006007

Over long timescales, neuronal dynamics can be robust to quite large perturbations, such as changes in white matter connectivity and grey matter structure through processes including learning, aging, development and certain disease processes. One pos... Read More about A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks.