Skip to main content

Research Repository

Advanced Search

Swallow Tail Sign: Revisited (2022)
Journal Article
Brammerloh, M., Kirilina, E., Alkemade, A., Bazin, P., Jantzen, C., Jäger, C., …Weiskopf, N. (2022). Swallow Tail Sign: Revisited. Radiology, 305(3), 674-677. https://doi.org/10.1148/radiol.212696

The loss of the radiologic swallow tail sign on MRI scans of the substantia nigra is a promising diagnostic marker of Parkinson disease (1), although its anatom-ic underpinning is unclear. An early influential study showed th... Read More about Swallow Tail Sign: Revisited.

Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging (2022)
Journal Article
Wang, C., Martins-Bach, A. B., Alfaro-Almagro, F., Douaud, G., Klein, J. C., Llera, A., …Miller, K. L. (2022). Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging. Nature Neuroscience, 25(6), 818-831. https://doi.org/10.1038/s41593-022-01074-w

A key aim in epidemiological neuroscience is identification of markers to assess brain health and monitor therapeutic interventions. Quantitative susceptibility mapping (QSM) is an emerging magnetic resonance imaging technique that measures tissue ma... Read More about Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging.

Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning (2022)
Journal Article
Owens, M. M., Albaugh, M. D., Allgaier, N., Yuan, D., Robert, G., Cupertino, R. B., …Hohmann, S. (2022). Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning. Translational Psychiatry, 12(1), Article 188. https://doi.org/10.1038/s41398-022-01956-4

While there is substantial evidence that cannabis use is associated with differences in human brain development, most of this evidence is correlational in nature. Bayesian causal network (BCN) modeling attempts to identify probable causal relationshi... Read More about Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning.

Pilot Double-Blind Randomised Controlled Trial: Effects of Jejunal Nutrition on Postprandial Distress in Diabetic Gastropathy (J4G Trial) (2022)
Journal Article
Carneiro, L., White, J., Parker, H., Hoad, C., Tucker, E., Marciani, L., …Fox, M. (2022). Pilot Double-Blind Randomised Controlled Trial: Effects of Jejunal Nutrition on Postprandial Distress in Diabetic Gastropathy (J4G Trial). Nutrients, 14(7), Article 1321. https://doi.org/10.3390/nu14071321

Nausea, vomiting and abdominal pain in diabetic patients are often attributed to diabetic gastropathy (DG). Post-pyloric (“jejunal”) enteral nutrition (JN) may improve nutrition and glycaemia in difficult cases. The acute effects of JN on postprandia... Read More about Pilot Double-Blind Randomised Controlled Trial: Effects of Jejunal Nutrition on Postprandial Distress in Diabetic Gastropathy (J4G Trial).

Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents (2021)
Journal Article
Ottino-González, J., Albaugh, M. D., Cao, Z., Cupertino, R. B., Schwab, N., Spechler, P. A., …Garavan, H. (2022). Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents. Addiction, 117(5), 1312-1325. https://doi.org/10.1111/add.15772

BACKGROUND AND AIMS: Graph theoretic analysis of structural covariance networks (SCN) provides an assessment of brain organization that has not yet been applied to alcohol dependence (AD). We estimated whether SCN differences are present in adults wi... Read More about Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents.

The Human Connectome Project: A retrospective (2021)
Journal Article
Elam, J. S., Glasser, M. F., Harms, M. P., Sotiropoulos, S. N., Andersson, J. L., Burgess, G. C., …Van Essen, D. C. (2021). The Human Connectome Project: A retrospective. NeuroImage, 244, Article 118543. https://doi.org/10.1016/j.neuroimage.2021.118543

The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances in human neuroimaging, particularly for measures of brain connectivity; apply these advances to study a large number of healthy young adults; and fr... Read More about The Human Connectome Project: A retrospective.

Psyllium reduces insulin-induced colonic gas production in irritable bowel syndrome: MRI and in vitro fermentation studies (2021)
Journal Article
Gunn, D., Abbas, Z., Harris, H., Major, G., Hoad, C., Gowland, P., …Spiller, R. (2022). Psyllium reduces insulin-induced colonic gas production in irritable bowel syndrome: MRI and in vitro fermentation studies. Gut, 71(5), 919-927. https://doi.org/10.1136/gutjnl-2021-324784

Objective: Health promoting dietary fibre including inulin often triggers gastrointestinal symptoms in patients with irritable bowel syndrome (IBS), limiting their intake. Our aim was to test if co-administering psyllium with inulin would reduce gas... Read More about Psyllium reduces insulin-induced colonic gas production in irritable bowel syndrome: MRI and in vitro fermentation studies.

Predicting Depression Onset in Young People Based on Clinical, Cognitive, Environmental, and Neurobiological Data (2021)
Journal Article
Toenders, Y. J., Kottaram, A., Dinga, R., Davey, C. G., Banaschewski, T., Bokde, A. L., …Schmaal, L. (2022). Predicting Depression Onset in Young People Based on Clinical, Cognitive, Environmental, and Neurobiological Data. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7(4), 376-384. https://doi.org/10.1016/j.bpsc.2021.03.005

Background Adolescent onset of depression is associated with long-lasting negative consequences. Identifying adolescents at risk for developing depression would enable the monitoring of risk-factors and the development of early intervention strategi... Read More about Predicting Depression Onset in Young People Based on Clinical, Cognitive, Environmental, and Neurobiological Data.

A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging (2020)
Journal Article
Tournier, J., Christiaens, D., Hutter, J., Price, A. N., Cordero-Grande, L., Hughes, E., …Hajnal, J. V. (2020). A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging. NMR in Biomedicine, 33(9), Article e4348. https://doi.org/10.1101/661348

Diffusion MRI has the potential to provide important information about the connectivity and microstructure of the human brain during normal and abnormal development, non-invasively and in vivo. Recent developments in MRI hardware and reconstruction m... Read More about A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging.

XTRACT - Standardised protocols for automated tractography in the human and macaque brain (2020)
Journal Article
Warrington, S., Bryant, K. L., Khrapitchev, A. A., Sallet, J., Charquero-Ballester, M., Douaud, G., …Sotiropoulos, S. N. (2020). XTRACT - Standardised protocols for automated tractography in the human and macaque brain. NeuroImage, 217, Article 116923. https://doi.org/10.1016/j.neuroimage.2020.116923

We present a new software package with a library of standardised tractography protocols devised for the robust automated extraction of white matter tracts both in the human and the macaque brain. Using in vivo data from the Human Connectome Project (... Read More about XTRACT - Standardised protocols for automated tractography in the human and macaque brain.

Improved fibre dispersion estimation using b-tensor encoding (2020)
Journal Article
Cottaar, M., Szczepankiewicz, F., Bastiani, M., Hernandez-Fernandez, M., Sotiropoulos, S. N., Nilsson, M., & Jbabdi, S. (2020). Improved fibre dispersion estimation using b-tensor encoding. NeuroImage, 215, https://doi.org/10.1016/j.neuroimage.2020.116832

© 2020 The Authors Measuring fibre dispersion in white matter with diffusion magnetic resonance imaging (MRI) is limited by an inherent degeneracy between fibre dispersion and microscopic diffusion anisotropy (i.e., the diffusion anisotropy expected... Read More about Improved fibre dispersion estimation using b-tensor encoding.

Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing (2020)
Journal Article
Autio, J. A., Glasser, M. F., Ose, T., Donahue, C. J., Bastiani, M., Ohno, M., …Hayashi, T. (2020). Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing. NeuroImage, 215, Article 116800. https://doi.org/10.1016/j.neuroimage.2020.116800

© 2020 The Author(s) Macaque monkeys are an important animal model where invasive investigations can lead to a better understanding of the cortical organization of primates including humans. However, the tools and methods for noninvasive image acquis... Read More about Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing.

Mechanisms and Risk Factors Contributing to Visual Field Deficits following Stereotactic Laser Amygdalohippocampotomy (2019)
Journal Article
Voets, N. L., Alvarez, I., Qiu, D., Leatherday, C., Willie, J. T., Sotiropoulos, S., …Drane, D. L. (2019). Mechanisms and Risk Factors Contributing to Visual Field Deficits following Stereotactic Laser Amygdalohippocampotomy. Stereotactic and Functional Neurosurgery, 97(4), 255–265. https://doi.org/10.1159/000502701

Selective laser amygdalohippocampotomy (SLAH) is a minimally invasive surgical treatment for medial temporal lobe epilepsy. Visual field deficits (VFDs) are a significant potential complication. The objective of this study was to determine the relati... Read More about Mechanisms and Risk Factors Contributing to Visual Field Deficits following Stereotactic Laser Amygdalohippocampotomy.

Joint modelling of diffusion MRI and microscopy (2019)
Journal Article
Howard, A. F., Mollink, J., Kleinnijenhuis, M., Pallebage-Gamarallage, M., Bastiani, M., Cottaar, M., …Jbabdi, S. (2019). Joint modelling of diffusion MRI and microscopy. NeuroImage, 201, Article 116014. https://doi.org/10.1016/j.neuroimage.2019.116014

The combination of diffusion MRI (dMRI) with microscopy provides unique opportunities to study microstructural features of tissue, particularly when acquired in the same sample. Microscopy is frequently used to validate dMRI microstructure models, ad... Read More about Joint modelling of diffusion MRI and microscopy.

MRI of the colon in the pharmaceutical field: the future before us (2019)
Journal Article
Sulaiman, S., & Marciani, L. (2019). MRI of the colon in the pharmaceutical field: the future before us. Pharmaceutics, 11(4), Article 146. https://doi.org/10.3390/pharmaceutics11040146

Oral solid drug formulation is the most common route for administration and it is vital to increase knowledge of the gastrointestinal physiological environment to understand dissolution and absorption processes and to develop reliable biorelevant in... Read More about MRI of the colon in the pharmaceutical field: the future before us.

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.

Using GPUs to accelerate computational diffusion MRI: from microstructure estimation to tractography and connectomes (2018)
Journal Article
Hernandez-Fernandez, M., Reguly, I., Jbabdi, S., Giles, M., Smith, S., & Sotiropoulos, S. N. (2019). Using GPUs to accelerate computational diffusion MRI: from microstructure estimation to tractography and connectomes. NeuroImage, 188, 598-615. https://doi.org/10.1016/j.neuroimage.2018.12.015

The great potential of computational diffusion MRI (dMRI) relies on indirect inference of tissue microstructure and brain connections, since modelling and tractography frameworks map diffusion measurements to neuroanatomical features. This mapping ho... Read More about Using GPUs to accelerate computational diffusion MRI: from microstructure estimation to tractography and connectomes.

How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes (2018)
Journal Article
Tewarie, P., Abeysuriya, R., Byrne, Á., O'Neill, G. C., Sotiropoulos, S. N., Brookes, M. J., & Coombes, S. (2019). How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes. NeuroImage, 186, 211-220. https://doi.org/10.1016/j.neuroimage.2018.10.079

Functional networks obtained from magnetoencephalography (MEG) from different frequency bands show distinct spatial patterns. It remains to be elucidated how distinct spatial patterns in MEG networks emerge given a single underlying structural networ... Read More about How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes.

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.

Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects (2018)
Journal Article
Harms, M. P., Somerville, L. H., Ances, B. M., Andersson, J., Barch, D. M., Bastiani, M., …Yacoub, E. (2018). Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects. NeuroImage, 183, 972-984. https://doi.org/10.1016/j.neuroimage.2018.09.060

The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are two large-scale brain imaging studies that will extend the recently completed HCP Young-Adult (HCP-YA) project to nearly the full lifespan, collecting structural, resting-sta... Read More about Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects.