Professor STAMATIOS SOTIROPOULOS's Outputs (79)

Image quality transfer and applications in diffusion MRI (2017)
Journal Article
Alexander, D. C., Zikic, D., Ghosh, A., Tanno, R., Wottschel, V., Zhang, J., Kaden, E., Dyrby, T. B., Sotiropoulos, S. N., Zhang, H., & 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., Smith, S. M., Fischl, B., & 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.

Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016)
Journal Article
Miller, K. L., Alfaro-Almagro, F., Bangerter, N. K., Thomas, D. L., Yacoub, E., Xu, J., Bartsch, A. J., Jbabdi, S., Sotiropoulos, S. N., Andersson, J. L., Griffanti, L., Douaud, G., Okell, T. W., Weale, P., Dragonu, I., Garratt, S., Hudson, S., Collins, R., Jenkinson, M., Matthews, P. M., & Smith, S. M. (2016). Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nature Neuroscience, 19(11), https://doi.org/10.1038/nn.4393

Medical imaging has enormous potential for early disease prediction, but is impeded by the difficulty and expense of acquiring data sets before symptom onset. UK Biobank aims to address this problem directly by acquiring high-quality, consistently ac... Read More about Multimodal population brain imaging in the UK Biobank prospective epidemiological study.

The Human Connectome Project's neuroimaging approach (2016)
Journal Article
Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L., Auerbach, E. J., Behrens, T. E., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., Robinson, E. C., Sotiropoulos, S. N., Xu, J., Yacoub, E., Ugurbil, K., & Van Essen, D. C. (2016). The Human Connectome Project's neuroimaging approach. Nature Neuroscience, 19(9), https://doi.org/10.1038/nn.4361

Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous methodological advances have also occurred, though inertia has slowed their adoption. This paper presents an integrated approach to data acquisition, analysis and s... Read More about The Human Connectome Project's neuroimaging approach.

Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images (2016)
Journal Article
Andersson, J. L., Graham, M. S., Zsoldos, E., & Sotiropoulos, S. N. (2016). Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. NeuroImage, 141, https://doi.org/10.1016/j.neuroimage.2016.06.058

Despite its great potential in studying brain anatomy and structure, diffusion magnetic resonance imaging (dMRI) is marred by artefacts more than any other commonly used MRI technique. In this paper we present a non-parametric framework for detecting... Read More about Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images.

Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey (2016)
Journal Article
Donahue, C. J., Sotiropoulos, S. N., Jbabdi, S., Hernandez-Fernandez, M., Behrens, T. E., Dyrby, T. B., Coalson, T., Kennedy, H., Knoblauch, K., Van Essen, D. C., & Glasser, M. F. (2016). Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey. Journal of Neuroscience, 36(25), 6758-6770. https://doi.org/10.1523/JNEUROSCI.0493-16.2016

Tractography based on diffusion MRI offers the promise of characterizing many aspects of long-distance connectivity in the brain, but requires quantitative validation to assess its strengths and limitations. Here, we evaluate tractography's ability t... Read More about Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey.

Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the Human Connectome Project (2016)
Journal Article
Sotiropoulos, S. N., Hernández-Fernández, M., Vu, A. T., Andersson, J. L., Moeller, S., Yacoub, E., Lenglet, C., Ugurbil, K., Behrens, T. E., & Jbabdi, S. (2016). Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the Human Connectome Project. NeuroImage, 134, 396-409. https://doi.org/10.1016/j.neuroimage.2016.04.014

Determining the acquisition parameters in diffusion magnetic resonance imaging (dMRI) is governed by a series of trade-offs. Images of lower resolution have less spatial specificity but higher signal to noise ratio (SNR). At the same time higher angu... Read More about Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the Human Connectome Project.

Structural organization of the corpus callosum predicts attentional shifts after continuous theta burst stimulation (2015)
Journal Article
Chechlacz, M., Humphreys, G. W., Sotiropoulos, S. N., Kennard, C., & Cazzoli, D. (2015). Structural organization of the corpus callosum predicts attentional shifts after continuous theta burst stimulation. Journal of Neuroscience, 35(46), https://doi.org/10.1523/JNEUROSCI.2610-15.2015

Repetitive transcranial magnetic stimulation (rTMS) applied over the right posterior parietal cortex (PPC) in healthy participants has been shown to trigger a significant rightward shift in the spatial allocation of visual attention, temporarily mimi... Read More about Structural organization of the corpus callosum predicts attentional shifts after continuous theta burst stimulation.

Measuring macroscopic brain connections in vivo (2015)
Journal Article
Jbabdi, S., Sotiropoulos, S. N., Haber, S. N., Van Essen, D. C., & Behrens, T. E. (2015). Measuring macroscopic brain connections in vivo. Nature Neuroscience, 18(11), https://doi.org/10.1038/nn.4134

Decades of detailed anatomical tracer studies in non-human animals point to a rich and complex organization of long-range white matter connections in the brain. State-of-the art in vivo imaging techniques are striving to achieve a similar level of de... Read More about Measuring macroscopic brain connections in vivo.

An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging (2015)
Journal Article
Andersson, J. L., & Sotiropoulos, S. N. (2016). An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage, 125, https://doi.org/10.1016/j.neuroimage.2015.10.019

In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions and subject movement in diffusion imaging. In addition a susceptibility-induced field can be supplied and will be incorporated int... Read More about An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.

Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes (2015)
Journal Article
Andersson, J. L., & Sotiropoulos, S. N. (2015). Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes. NeuroImage, 122, https://doi.org/10.1016/j.neuroimage.2015.07.067

Diffusion MRI offers great potential in studying the human brain microstructure and connectivity. However, diffusion images are marred by technical problems, such as image distortions and spurious signal loss. Correcting for these problems is non-tri... Read More about Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes.

Normalisation of brain connectivity through compensatory behaviour, despite congenital hand absence (2015)
Journal Article
Hahamy, A., Sotiropoulos, S. N., Henderson Slater, D., Malach, R., Johansen-Berg, H., & Makin, T. R. (2015). Normalisation of brain connectivity through compensatory behaviour, despite congenital hand absence. eLife, 4, Article e04605. https://doi.org/10.7554/eLife.04605.001

Previously we showed, using task-evoked fMRI, that compensatory intact hand usage after amputation facilitates remapping of limb representations in the cortical territory of the missing hand (Makin et al., 2013a). Here we show that compensatory arm u... Read More about Normalisation of brain connectivity through compensatory behaviour, despite congenital hand absence.

High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project (2015)
Journal Article
Vu, A., Auerbach, E., Lenglet, C., Moeller, S., Sotiropoulos, S. N., Jbabdi, S., Andersson, J., Yacoub, E., & Ugurbil, K. (2015). High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project. NeuroImage, 122, https://doi.org/10.1016/j.neuroimage.2015.08.004

Mapping structural connectivity in healthy adults for the Human Connectome Project (HCP) benefits from high quality, high resolution, multiband (MB)-accelerated whole brain diffusion MRI (dMRI). Acquiring such data at ultrahigh fields (7 T and above)... Read More about High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project.

Advances in diffusion MRI acquisition and processing in the Human Connectome Project (2013)
Journal Article
Sotiropoulos, S. N., Jbabdi, S., Xu, J., Andersson, J. L., Moeller, S., Auerbach, E. J., Glasser, M. F., Hernandez, M., Sapiro, G., Jenkinson, M., Feinberg, D. A., Yacoub, E., Lenglet, C., Van Essen, D. C., Ugurbil, K., & Behrens, T. E. (2013). Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage, 80, https://doi.org/10.1016/j.neuroimage.2013.05.057

The Human Connectome Project (HCP) is a collaborative 5-year effort to map human brain connections and their variability in healthy adults. A consortium of HCP investigators will study a population of 1200 healthy adults using multiple imaging modali... Read More about Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

The minimal preprocessing pipelines for the Human Connectome Project (2013)
Journal Article
Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J. R., Van Essen, D. C., & Jenkinson, M. (2013). The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage, 80, https://doi.org/10.1016/j.neuroimage.2013.04.127

The Human Connectome Project (HCP) faces the challenging task of bringing multiple magnetic resonance imaging (MRI) modalities together in a common automated preprocessing framework across a large cohort of subjects. The MRI data acquired by the HCP... Read More about The minimal preprocessing pipelines for the Human Connectome Project.

Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs (2013)
Journal Article
Hernández, M., Guerrero, G. D., Cecilia, J. M., García, J. M., Inuggi, A., Jbabdi, S., Behrens, T. E. J., & Sotiropoulos, S. N. (2013). Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs. PLoS ONE, 8(4), Article e61892. https://doi.org/10.1371/journal.pone.0061892

With the performance of central processing units (CPUs) having effectively reached a limit, parallel processing offers an alternative for applications with high computational demands. Modern graphics processing units (GPUs) are massively parallel pro... Read More about Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs.

The topographic connectome (2013)
Journal Article
Jbabdi, S., Sotiropoulos, S. N., & Behrens, T. E. (2013). The topographic connectome. Current Opinion in Neurobiology, 23(2), https://doi.org/10.1016/j.conb.2012.12.004

Central to macro-connectomics and much of systems neuroscience is the idea that we can summarise macroscopic brain connectivity using a network of ‘nodes’ and ‘edges’ — functionally distinct brain regions and the connections between them. This is an... Read More about The topographic connectome.

Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems (2012)
Journal Article
Jbabdi, S., Sotiropoulos, S. N., Savio, A. M., Graña, M., & Behrens, T. E. (2012). Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems. Magnetic Resonance in Medicine, 68(6), https://doi.org/10.1002/mrm.24204

In this article, we highlight an issue that arises when using multiple b‐values in a model‐based analysis of diffusion MR data for tractography. The non‐monoexponential decay, commonly observed in experimental data, is shown to induce overfitting in... Read More about Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems.

Ball and rackets: inferring fiber fanning from diffusion-weighted MRI (2012)
Journal Article
Sotiropoulos, S. N., Behrens, T. E., & Jbabdi, S. (2012). Ball and rackets: inferring fiber fanning from diffusion-weighted MRI. NeuroImage, 60(2), https://doi.org/10.1016/j.neuroimage.2012.01.056

A number of methods have been proposed for resolving crossing fibers from diffusion-weighted (DW) MRI. However, other complex fiber geometries have drawn minimal attention. In this study, we focus on fiber orientation dispersion induced by within-vox... Read More about Ball and rackets: inferring fiber fanning from diffusion-weighted MRI.