Outputs (22)

Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics (2019)
Journal Article
Demirtas, M., Burt, J. B., Helmer, M., Ji, J. L., Adkinson, B. D., Glasser, M. F., …Murray, J. D. (2019). Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics. Neuron, 101(6), 1181-1194.e13. https://doi.org/10.1016/j.neuron.2019.01.017

The large-scale organization of dynamical neural activity across cortex emerges through long-range interactions among local circuits. We hypothesized that large-scale dynamics are also shaped by heterogeneity of intrinsic local properties across cort... Read More about Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics.

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., …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.

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., …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.

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., …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.

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., …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.

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., …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., …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., …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., …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.