Outputs (32)

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.

Quantifying MRI frequency shifts due to structures with anisotropic magnetic susceptibility using pyrolytic graphite sheet (2018)
Journal Article
Cronin, M., & Bowtell, R. W. (2018). Quantifying MRI frequency shifts due to structures with anisotropic magnetic susceptibility using pyrolytic graphite sheet. Scientific Reports, 8, Article 6259. https://doi.org/10.1038/s41598-018-24650-2

Magnetic susceptibility is an important source of contrast in magnetic resonance imaging (MRI), with spatial variations in the susceptibility of tissue affecting both the magnitude and phase of the measured signals. This contrast has generally been i... Read More about Quantifying MRI frequency shifts due to structures with anisotropic magnetic susceptibility using pyrolytic graphite sheet.

Moving magnetoencephalography towards real-world applications with a wearable system (2018)
Journal Article
Boto, E., Holmes, N., Leggett, J., Roberts, G., Shah, V., Meyer, S. S., …Brookes, M. J. (2018). Moving magnetoencephalography towards real-world applications with a wearable system. Nature, 555, 657-661. https://doi.org/10.1038/nature26147

Imaging human brain function with techniques such as magnetoencephalography1 (MEG) typically requires a subject to perform tasks whilst their head remains still within a restrictive scanner. This artificial environment makes the technique inaccessibl... Read More about Moving magnetoencephalography towards real-world applications with a wearable system.

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.

Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank (2017)
Journal Article
Alfaro-Almagro, F., Jenkinson, M., Bangerter, N. K., Andersson, J. L., Griffanti, L., Douaud, G., …Smith, S. M. (2018). Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. NeuroImage, 166, https://doi.org/10.1016/j.neuroimage.2017.10.034

UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It is currently in the process of bringing back 100,000 of the original participants for brain, heart and body MRI, carotid ultrasound an... Read More about Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.

The heritability of multi-modal connectivity in human brain activity (2017)
Journal Article
Colclough, G. L., Smith, S. M., Nichols, T. E., Winkler, A. M., Sotiropoulos, S. N., Glasser, M. F., …Woolrich, M. W. (in press). The heritability of multi-modal connectivity in human brain activity. eLife, 6, Article e20178. https://doi.org/10.7554/eLife.20178

Patterns of intrinsic human brain activity exhibit a profile of functional connectivity that is associated with behaviour and cognitive performance, and deteriorates with disease. This paper investigates the relative importance of genetic factors and... Read More about The heritability of multi-modal connectivity in human brain activity.

Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson’s disease (2017)
Journal Article
Akram, H., Sotiropoulos, S. N., Jbabdi, S., Georgiev, D., Mahlknecht, P., Hyam, J., Foltynie, T., Limousin, P., De Vita, E., Jahanshahi, M., Hariz, M., Ashburner, J., Behrens, T., & Zrinzo, L. (2017). Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson’s disease. NeuroImage, 158, https://doi.org/10.1016/j.neuroimage.2017.07.012

Objectives
Firstly, to identify subthalamic region stimulation clusters that predict maximum improvement in rigidity, bradykinesia and tremor, or emergence of side-effects; and secondly, to map-out the cortical fingerprint, mediated by the hyperdire... Read More about Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson’s disease.

Building connectomes using diffusion MRI: why, how and but (2017)
Journal Article
Sotiropoulos, S. N., & Zalesky, A. (in press). Building connectomes using diffusion MRI: why, how and but. NMR in Biomedicine, https://doi.org/10.1002/nbm.3752

Why has diffusion MRI become a principal modality for mapping connectomes in vivo? How do different image acquisition parameters, fiber tracking algorithms and other methodological choices affect connectome estimation? What are the main factors that... Read More about Building connectomes using diffusion MRI: why, how and but.

Evaluating fibre orientation dispersion in white matter: comparison of diffusion MRI, histology and polarized light imaging (2017)
Journal Article
Mollink, J., Kleinnijenhuis, M., Cappellen van Walsum, A.-M. V., Sotiropoulos, S. N., Cottaar, M., Mirfin, C., …Miller, K. L. (2017). Evaluating fibre orientation dispersion in white matter: comparison of diffusion MRI, histology and polarized light imaging. NeuroImage, 157, https://doi.org/10.1016/j.neuroimage.2017.06.001

Diffusion MRI is an exquisitely sensitive probe of tissue microstructure, and is currently the only non-invasive measure of the brain’s fibre architecture. As this technique becomes more sophisticated and microstructurally informative, there is incre... Read More about Evaluating fibre orientation dispersion in white matter: comparison of diffusion MRI, histology and polarized light imaging.

Image quality transfer and applications in diffusion MRI (2017)
Journal Article
Alexander, D. C., Zikic, D., Ghosh, A., Tanno, R., Wottschel, V., Zhang, J., …Criminisi, A. (2017). Image quality transfer and applications in diffusion MRI. NeuroImage, 152, https://doi.org/10.1016/j.neuroimage.2017.02.089

This paper introduces a new computational imaging technique called image quality transfer (IQT). IQT uses machine learning to transfer the rich information available from one-off experimental medical imaging devices to the abundant but lower-quality... Read More about Image quality transfer and applications in diffusion MRI.

Studying neuroanatomy using MRI (2017)
Journal Article
Lerch, J. P., van der Kouwe, A. J., Raznahan, A., Paus, T., Johansen-Berg, H., Miller, K. L., …Sotiropoulos, S. N. (in press). Studying neuroanatomy using MRI. Nature Neuroscience, 20(3), https://doi.org/10.1038/nn.4501

The study of neuroanatomy using imaging enables key insights into how our brains function, are shaped by genes and environment, and change with development, aging, and disease. Developments in MRI acquisition, image processing, and data modelling hav... Read More about Studying neuroanatomy using MRI.