All Outputs (25)

Mapping brain endophenotypes associated with idiopathic pulmonary fibrosis genetic risk (2022)
Journal Article
Mohammadi-Nejad, A. R., Allen, R. J., Kraven, L. M., Leavy, O. C., Jenkins, R. G., Wain, L. V., …Sotiropoulos, S. N. (2022). Mapping brain endophenotypes associated with idiopathic pulmonary fibrosis genetic risk. EBioMedicine, 86, Article 104356. https://doi.org/10.1016/j.ebiom.2022.104356

Background: Idiopathic pulmonary fibrosis (IPF) is a serious disease of the lung parenchyma. It has a known polygenetic risk, with at least seventeen regions of the genome implicated to date. Growing evidence suggests linked multimorbidity of IPF wit... Read More about Mapping brain endophenotypes associated with idiopathic pulmonary fibrosis genetic risk.

Concurrent mapping of brain ontogeny and phylogeny within a common space: standardised tractography and applications (2022)
Journal Article
Warrington, S., Thompson, E., Bastiani, M., Dubois, J., Baxter, L., Slater, R., …Sotiropoulos, S. N. (2022). Concurrent mapping of brain ontogeny and phylogeny within a common space: standardised tractography and applications. Science Advances, 8(42), Article eabq2. https://doi.org/10.1126/sciadv.abq2022

Developmental and evolutionary effects on brain organization are complex, yet linked, as evidenced by the correspondence in cortical area expansion across these vastly different time scales. However, it is still not possible to study concurrently the... Read More about Concurrent mapping of brain ontogeny and phylogeny within a common space: standardised tractography and applications.

Predicting time-resolved electrophysiological brain networks from structural eigenmodes (2022)
Journal Article
Tewarie, P., Prasse, B., Meier, J., Mandke, K., Warrington, S., Stam, C. J., …Hillebrand, A. (2022). Predicting time-resolved electrophysiological brain networks from structural eigenmodes. Human Brain Mapping, https://doi.org/10.1002/hbm.25967

How temporal modulations in functional interactions are shaped by the underlying anatomical connections remains an open question. Here, we analyse the role of structural eigenmodes, in the formation and dissolution of temporally evolving functional b... Read More about Predicting time-resolved electrophysiological brain networks from structural eigenmodes.

The Developing Human Connectome Project Neonatal Data Release (2022)
Journal Article
Edwards, A. D., Rueckert, D., Smith, S. M., Seada, S. A., Alansary, A., Almalbis, J., …Hajnal, J. V. (2022). The Developing Human Connectome Project Neonatal Data Release. Frontiers in Neuroscience, 16, Article 886772. https://doi.org/10.3389/fnins.2022.886772

The Developing Human Connectome Project has created a large open science resource which provides researchers with data for investigating typical and atypical brain development across the perinatal period. It has collected 1228 multimodal magnetic res... Read More about The Developing Human Connectome Project Neonatal Data Release.

Right fronto-parietal networks mediate the neurocognitive benefits of enriched environments (2022)
Journal Article
Brosnan, M. B., Shalev, N., Ramduny, J., Sotiropoulos, S. N., & Chechlacz, M. (2022). Right fronto-parietal networks mediate the neurocognitive benefits of enriched environments. Brain Communications, 4(2), Article fcac080. https://doi.org/10.1093/braincomms/fcac080

Exposure to enriched environments throughout a lifetime, providing so-called reserve, protects against cognitive decline in later years. It has been hypothesized that high levels of alertness necessitated by enriched environments might strengthen the... Read More about Right fronto-parietal networks mediate the neurocognitive benefits of enriched environments.

The association between inadequate sleep and accelerated brain ageing (2022)
Journal Article
Ramduny, J., Bastiani, M., Huedepohl, R., Sotiropoulos, S. N., & Chechlacz, M. (2022). The association between inadequate sleep and accelerated brain ageing. Neurobiology of Aging, 114, 1-14. https://doi.org/10.1016/j.neurobiolaging.2022.02.005

Numerous studies indicate large heterogeneity in brain ageing, which can be attributed to modifiable lifestyle factors, including sleep. Inadequate sleep has been previously linked to gray (GM) and white (WM) matter changes. However, the reported fin... Read More about The association between inadequate sleep and accelerated brain ageing.

Anticholinergic drugs and forebrain magnetic resonance imaging changes in cognitively normal people and those with mild cognitive impairment (2022)
Journal Article
Meng, D., Mohammadi-Nejad, A. R., Sotiropoulos, S. N., & Auer, D. P. (2022). Anticholinergic drugs and forebrain magnetic resonance imaging changes in cognitively normal people and those with mild cognitive impairment. European Journal of Neurology, https://doi.org/10.1111/ene.15251

Background and purpose: Anticholinergic (AC) medication use is associated with cognitive decline and dementia, which may be related to an AC-induced central hypocholinergic state, but the exact mechanisms remain to be understood. We aimed to further... Read More about Anticholinergic drugs and forebrain magnetic resonance imaging changes in cognitively normal people and those with mild cognitive impairment.

Long-Term Connectome Analysis Reveals Reshaping of Visual, Spatial Networks in a Model With Vascular Dementia Features (2022)
Journal Article
Hall, G. R., Boehm-Sturm, P., Dirnagl, U., Finke, C., Foddis, M., Harms, C., …Farr, T. D. (2022). Long-Term Connectome Analysis Reveals Reshaping of Visual, Spatial Networks in a Model With Vascular Dementia Features. Stroke, 53(5), 1735-1745. https://doi.org/10.1161/STROKEAHA.121.036997

Background: Connectome analysis of neuroimaging data is a rapidly expanding field that offers the potential to diagnose, characterize, and predict neurological disease. Animal models provide insight into biological mechanisms that underpin disease, b... Read More about Long-Term Connectome Analysis Reveals Reshaping of Visual, Spatial Networks in a Model With Vascular Dementia Features.

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.

Quantum computing at the frontiers of biological sciences (2021)
Journal Article
Emani, P. S., Warrell, J., Anticevic, A., Bekiranov, S., Gandal, M., McConnell, M. J., …Harrow, A. W. (2021). Quantum computing at the frontiers of biological sciences. Nature Methods, 18, 701-709. https://doi.org/10.1038/s41592-020-01004-3

The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we push the limits of scale and complexity in biological problems. Innovatio... Read More about Quantum computing at the frontiers of biological sciences.

Modelling white matter in gyral blades as a continuous vector field (2020)
Journal Article
Cottaar, M., Bastiani, M., Boddu, N., Glasser, M. F., Haber, S., van Essen, D. C., …Jbabdi, S. (2021). Modelling white matter in gyral blades as a continuous vector field. NeuroImage, 227, Article 117693. https://doi.org/10.1016/j.neuroimage.2020.117693

© 2020 Many brain imaging studies aim to measure structural connectivity with diffusion tractography. However, biases in tractography data, particularly near the boundary between white matter and cortical grey matter can limit the accuracy of such st... Read More about Modelling white matter in gyral blades as a continuous vector field.

Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI (2020)
Journal Article
Tanno, R., Worrall, D. E., Kaden, E., Ghosh, A., Grussu, F., Bizzi, A., …Alexander, D. C. (2021). Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. NeuroImage, 225, Article 117366. https://doi.org/10.1016/j.neuroimage.2020.117366

Deep learning (DL) has shown great potential in medical image enhancement problems, such as super-resolution or image synthesis. However, to date, most existing approaches are based on deterministic models, neglecting the presence of different source... Read More about Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI.

Non-negative data-driven mapping of structural connections with application to the neonatal brain (2020)
Journal Article
Thompson, . E., Mohammadi-Nejad, A. R., Robinson, E. C., Andersson, J. L., Jbabdi, S., Glasser, M. F., …Sotiropoulos, S. N. (2020). Non-negative data-driven mapping of structural connections with application to the neonatal brain. NeuroImage, 222, Article 117273. https://doi.org/10.1016/j.neuroimage.2020.117273

© 2020 Mapping connections in the neonatal brain can provide insight into the crucial early stages of neurodevelopment that shape brain organisation and lay the foundations for cognition and behaviour. Diffusion MRI and tractography provide unique op... Read More about Non-negative data-driven mapping of structural connections with application to the neonatal brain.

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.

MRS and DTI evidence of progressive posterior cingulate cortex and corpus callosum injury in the hyper-acute phase after Traumatic Brain Injury (2019)
Journal Article
Lawrence, T. P., Steel, A., Ezra, M., Speirs, M., Pretorius, P. M., Douaud, G., …Voets, N. L. (2019). MRS and DTI evidence of progressive posterior cingulate cortex and corpus callosum injury in the hyper-acute phase after Traumatic Brain Injury. Brain Injury, 33(7), 854-868. https://doi.org/10.1080/02699052.2019.1584332

The posterior cingulate cortex (PCC) and corpus callosum (CC) are susceptible to trauma, but injury often evades detection. PCC Metabolic disruption may predict CC white matter tract injury and the secondary cascade responsible for progression. While... Read More about MRS and DTI evidence of progressive posterior cingulate cortex and corpus callosum injury in the hyper-acute phase after Traumatic Brain Injury.

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.

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., …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.

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.

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.