All Outputs (10)

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., …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.

Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning (2017)
Journal Article
Pisharady, P. K., Sotiropoulos, S. N., Duarte-Carvajalino, J. M., Sapiro, G., & Lenglet, C. (in press). Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning. NeuroImage, https://doi.org/10.1016/j.neuroimage.2017.06.052

We present a sparse Bayesian unmixing algorithm BusineX: Bayesian Unmixing for Sparse Inference-based Estimation of Fiber Crossings (X), for estimation of white matter fiber parameters from compressed (under-sampled) diffusion MRI (dMRI) data. Busine... Read More about Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning.

Improved tractography using asymmetric fibre orientation distributions (2017)
Journal Article
Bastiani, M., Cottaar, M., Dikranian, K., Ghosh, A., Zhang, H., Alexander, D. C., …Sotiropoulos, S. N. (2017). Improved tractography using asymmetric fibre orientation distributions. NeuroImage, 158, https://doi.org/10.1016/j.neuroimage.2017.06.050

Diffusion MRI allows us to make inferences on the structural organisation of the brain by mapping water diffusion to white matter microstructure. However, such a mapping is generally ill-defined; for instance, diffusion measurements are antipodally s... Read More about Improved tractography using asymmetric fibre orientation distributions.

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. 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.

Time-efficient and flexible design of optimized multishell HARDI diffusion (2017)
Journal Article
Hutter, J., Tournier, J. D., Price, A. N., Cordero-Grande, L., Hughes, E. J., Malik, S., …Hajnal, J. V. (2018). Time-efficient and flexible design of optimized multishell HARDI diffusion. Magnetic Resonance in Medicine, 79(3), 1276-1292. https://doi.org/10.1002/mrm.26765

Purpose: Advanced diffusion magnetic resonance imaging benefits from collecting as much data as is feasible but is highly sensitive to subject motion and the risk of data loss increases with longer acquisition times. Our purpose was to create a maxim... Read More about Time-efficient and flexible design of optimized multishell HARDI diffusion.

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.