Outputs (61)

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.

Parkinson's disease related signal change in the nigrosomes 1–5 and the substantia nigra using T2* weighted 7T MRI (2018)
Journal Article
Schwarz, S. T., Mougin, O., Xing, Y., Blazejewska, A., Bajaj, N., Auer, D. P., & Gowland, P. (2018). Parkinson's disease related signal change in the nigrosomes 1–5 and the substantia nigra using T2* weighted 7T MRI. NeuroImage: Clinical, 19, 683-689. https://doi.org/10.1016/j.nicl.2018.05.027

Improved markers for the progression of Parkinson's disease (PD) are required. Previous work has proven that iron dependent MRI scans can detect the largest Nigrosome (N1) within the substantia nigra (SN) pars compacta and changes in PD. Histopatholo... Read More about Parkinson's disease related signal change in the nigrosomes 1–5 and the substantia nigra using T2* weighted 7T MRI.

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.

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., Duque Muñoz, L., Mullinger, K. J., Tierney, T. M., Bestmann, S., Barnes, G. R., Bowtell, R. W., & 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.

Dynamic metabolic patterns tracking neurodegeneration and gliosis following 26S proteasome dysfunction in mouse forebrain neurons (2018)
Journal Article
Geiszler, P. C., Ugun-Klusek, A., Lawler, K., Pardon, M.-C., Yuchun, D., Bai, L., Daykin, C., Auer, D. P., & Bedford, L. (in press). Dynamic metabolic patterns tracking neurodegeneration and gliosis following 26S proteasome dysfunction in mouse forebrain neurons. Scientific Reports, 8, Article 4833. https://doi.org/10.1038/s41598-018-23155-2

Metabolite profiling is an important tool that may better capture the multiple features of neurodegeneration. With the considerable parallels between mouse and human metabolism, the use of metabolomics in mouse models with neurodegenerative pathology... Read More about Dynamic metabolic patterns tracking neurodegeneration and gliosis following 26S proteasome dysfunction in mouse forebrain neurons.

Altered connectivity of the right anterior insula drives the pain connectome changes in chronic knee osteoarthritis (2018)
Journal Article
Cottam, W. J., Iwabuchi, S. J., Drabek, M. M., Reckziegel, D., & Auer, D. P. (2018). Altered connectivity of the right anterior insula drives the pain connectome changes in chronic knee osteoarthritis. PAIN, 159(5), https://doi.org/10.1097/j.pain.0000000000001209

Resting-state functional connectivity (FC) has proven a powerful approach to understand the neural underpinnings of chronic pain, reporting altered connectivity in three main networks: the default mode (DMN), central executive (CEN), and the salience... Read More about Altered connectivity of the right anterior insula drives the pain connectome changes in chronic knee osteoarthritis.

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.

Predicting age from cortical structure across the lifespan (2018)
Journal Article
Madan, C. R., & Kensinger, E. A. (2018). Predicting age from cortical structure across the lifespan. European Journal of Neuroscience, 47(5), 399-416. https://doi.org/10.1111/ejn.13835

Despite inter-individual differences in cortical structure, cross-sectional and longitudinal studies have demonstrated a large degree of population-level consistency in age-related differences in brain morphology. The present study assessed how accur... Read More about Predicting age from cortical structure across the lifespan.

Shape-related characteristics of age-related differences in subcortical structures (2018)
Journal Article
Madan, C. R. (2019). Shape-related characteristics of age-related differences in subcortical structures. Aging and Mental Health, 23(7), 800-810. https://doi.org/10.1080/13607863.2017.1421613

OBJECTIVES: With an increasing aging population, it is important to gain a better understanding of biological markers of aging. Subcortical volume is known to differ with age; additionally considering shape-related characteristics may provide a bette... Read More about Shape-related characteristics of age-related differences in subcortical structures.

Patterns of grey matter loss associated with motor subscores in early Parkinson's disease (2017)
Journal Article
Li, X., Xing, Y., Martin-Bastida, A., Piccini, P., & Auer, D. P. (in press). Patterns of grey matter loss associated with motor subscores in early Parkinson's disease. NeuroImage: Clinical, 17, https://doi.org/10.1016/j.nicl.2017.11.009

Classical motor symptoms of Parkinson's disease (PD) such as tremor, rigidity, bradykinesia, and axial symptoms are graded in the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) III. It is yet to be ascertained whether... Read More about Patterns of grey matter loss associated with motor subscores in early Parkinson's disease.

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., Sotiropoulos, S. N., Jbabdi, S., Hernandez-Fernandez, M., Vallee, E., Vidaurre, D., Webster, M., McCarthy, P., Rorden, C., Daducci, A., Alexander, D. C., Zhang, H., Dragonu, I., Matthews, P. M., Miller, K. L., & 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., Van Essen, D. C., & 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.

Improved tractography using asymmetric fibre orientation distributions (2017)
Journal Article
Bastiani, M., Cottaar, M., Dikranian, K., Ghosh, A., Zhang, H., Alexander, D. C., Behrens, T. E., Jbabdi, S., & 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.-M. V., Sotiropoulos, S. N., Cottaar, M., Mirfin, C., Heinrich, M. P., Jenkinson, M., Pallebage-Gamarallage, M., Ansorge, O., Jbabdi, S., & 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., 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.