Professor STAMATIOS SOTIROPOULOS's Outputs (75)

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.

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., 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.

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., Gleichgerrcht, E., Bonilha, L., Pedersen, N., Kadom, N., Saindane, A., Gross, R. E., & 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., Sotiropoulos, S., Cadoux-Hudson, T., Emir, U. E., & 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., Van Essen, D. C., Sotiropoulos, S. N., Anticevic, A., & 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.