Professor STAMATIOS SOTIROPOULOS's Outputs (80)

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., Brookes, M. J., Van Mieghem, P., Sotiropoulos, S. N., & 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., Allsop, J. M., Arichi, T., Andersson, J., Arulkumaran, S., Bastiani, M., Batalle, D., Baxter, L., Bozek, J., Braithwaite, E., Brandon, J., Carney, O., Chew, A., Christiaens, D., Chung, R., …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.

Concurrent mapping of brain ontogeny and phylogeny within a common connectivity space (2022)
Preprint / Working Paper
Warrington, S., Thompson, E., Bastiani, M., Dubois, J., Baxter, L., Slater, R., Jbabdi, S., Mars, R. B., & Sotiropoulos, S. N. Concurrent mapping of brain ontogeny and phylogeny within a common connectivity space

Developmental and evolutionary effects on brain organisation are complex, yet linked, as evidenced by the striking correspondence in cortical expansion changes. However, it is still not possible to study concurrently the ontogeny and phylogeny of cor... Read More about Concurrent mapping of brain ontogeny and phylogeny within a common connectivity space.

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.

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, 29(5), 1344-1353. https://doi.org/10.1111/ene.15251

Background
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 elucidate th... 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., Koch, S. P., Kuchling, J., Madan, C. R., Mueller, S., Sassi, C., Sotiropoulos, S. N., Trueman, R. C., Wallis, M., Yildirim, F., & 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.

Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning (2022)
Journal Article
Sundaresan, V., Arthofer, C., Zamboni, G., Dineen, R. A., Rothwell, P. M., Sotiropoulos, S. N., Auer, D. P., Tozer, D. J., Markus, H. S., Miller, K. L., Dragonu, I., Sprigg, N., Alfaro-Almagro, F., Jenkinson, M., & Griffanti, L. (2022). Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning. Frontiers in Neuroinformatics, 15, Article 777828. https://doi.org/10.3389/fninf.2021.777828

Cerebral microbleeds (CMBs) appear as small, circular, well defined hypointense lesions of a few mm in size on T2*-weighted gradient recalled echo (T2*-GRE) images and appear enhanced on susceptibility weighted images (SWI). Due to their small size,... Read More about Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.

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., Curtiss, S. W., Oostenveld, R., Larson-Prior, L. J., Schoffelen, J. M., Hodge, M. R., Cler, E. A., Marcus, D. M., Barch, D. M., Yacoub, E., Smith, S. M., Ugurbil, K., & 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., Sapiro, G., Aspuru-Guzik, A., Baker, J. T., Bastiani, M., Murray, J., Sotiropoulos, S. N., Taylor, J., Senthil, G., Lehner, T., Gerstein, M. B., & 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., Sotiropoulos, S. N., & 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., Sotiropoulos, S. N., Criminisi, 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., Bastiani, M., & 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.

A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging (2020)
Journal Article
Tournier, J.-D., Christiaens, D., Hutter, J., Price, A. N., Cordero-Grande, L., Hughes, E., Bastiani, M., Sotiropoulos, S. N., Smith, S. M., Rueckert, D., Counsell, S. J., Edwards, A. D., & 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.

The role of node dynamics in shaping emergent functional connectivity patterns in the brain (2020)
Journal Article
Forrester, M., Crofts, J. J., Sotiropoulos, S. N., Coombes, S., & O'Dea, R. D. (2020). The role of node dynamics in shaping emergent functional connectivity patterns in the brain. Network Neuroscience, 4(2), 467-483. https://doi.org/10.1162/netn_a_00130

© 2020 Massachusetts Institute of Technology. The contribution of structural connectivity to functional brain states remains poorly understood. We present a mathematical and computational study suited to assess the structure–function issue, treating... Read More about The role of node dynamics in shaping emergent functional connectivity patterns in the brain.

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., Jbabdi, S., Mars, R. B., & 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, Article 116832. 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., Kawabata, Y., Urushibata, Y., Murata, K., Nishigori, K., Yamaguchi, M., Hori, Y., Yoshida, A., Go, Y., Coalson, T. S., Jbabdi, S., Sotiropoulos, S. N., Kennedy, H., Smith, S., Van Essen, D. C., & 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.

The role of node dynamics in shaping emergent functional connectivity patterns in the brain (2020)
Journal Article
Forrester, M., Crofts, J. J., Sotiropoulos, S., Coombes, S., & O’Dea, R. (2020). The role of node dynamics in shaping emergent functional connectivity patterns in the brain. Network Neuroscience, 4(2), 467-483. https://doi.org/10.1162/netn_a_00130

The contribution of structural connectivity to functional brain states remains poorly understood. We present a mathematical and computational study suited to assess the structure–function issue, treating a system of Jansen–Rit neural-mass nodes with... Read More about The role of node dynamics in shaping emergent functional connectivity patterns in the brain.