Professor STAMATIOS SOTIROPOULOS's Outputs (79)

Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes (2025)
Journal Article
Manzano-Patron, J., Deistler, M., Schröder, C., Kypraios, T., Gonçalves, P. J., Macke, J. H., & Sotiropoulos, S. N. (in press). Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes. Medical Image Analysis,

Simulation-Based Inference (SBI) has recently emerged as a powerful framework for Bayesian inference: Neural networks are trained on simulations from a forward model, and learn to rapidly estimate posterior distributions. We here present an SBI frame... Read More about Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes.

Cross-Species Neuroanatomy in Primates Using Tractography (2025)
Journal Article
Sotiropoulos, S. N., Thiebaut De Schotten, M., Haber, S. N., & Forkel, S. J. (in press). Cross-Species Neuroanatomy in Primates Using Tractography. Brain Structure and Function,

Due to their integrative role in brain function, long-range white matter connections exhibit high individual variability, giving rise to personalised brain circuits. This neurovariability is more evident in the connection patterns of brain areas that... Read More about Cross-Species Neuroanatomy in Primates Using Tractography.

Connectivity profile and function of uniquely human cortical areas (2025)
Journal Article
Bryant, K. L., Camilleri, J., Warrington, S., Blazquez Freches, G., Sotiropoulos, S. N., Jbabdi, S., Eickhoff, S., & Mars, R. B. (2025). Connectivity profile and function of uniquely human cortical areas. Journal of Neuroscience, Article e2017242025. https://doi.org/10.1523/JNEUROSCI.2017-24.2025

Determining the brain specializations unique to humans requires directly comparative anatomical information from other primates, especially our closest relatives. Human (Homo sapiens) (m/f), chimpanzee (Pan troglodytes) (f), and rhesus macaque (Macac... Read More about Connectivity profile and function of uniquely human cortical areas.

Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI (2025)
Journal Article
Sundaresan, V., Zamboni, G., Dineen, R. A., Auer, D. P., Sotiropoulos, S. N., Sprigg, N., Jenkinson, M., & Griffanti, L. (2025). Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI. European Radiology Experimental, 9(1), Article 5. https://doi.org/10.1186/s41747-024-00544-z

Cerebral microbleeds (CMBs) are small, hypointense hemosiderin deposits in the brain measuring 2–10 mm in diameter. As one of the important biomarkers of small vessel disease, they have been associated with various neurodegenerative and cerebrovascul... Read More about Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI.

Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses (2024)
Journal Article
Forrester, M., Petros, S., Cattell, O., Lai, Y. M., O’Dea, R. D., Sotiropoulos, S., & Coombes, S. (2024). Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses. PLoS Computational Biology, 20(12), Article e1012647. https://doi.org/10.1371/journal.pcbi.1012647

The ready availability of brain connectome data has both inspired and facilitated the modelling of whole brain activity using networks of phenomenological neural mass models that can incorporate both interaction strength and tract length between brai... Read More about Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses.

Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses (2024)
Journal Article
Forrester, M., Petros, S., Cattell, O., Lai, Y. M., ODea, R. D., Sotiropoulos, S., & Coombes, S. (2024). Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses. PLoS Computational Biology, 20(December), https://doi.org/10.1371/journal.pcbi.1012647

The ready availability of brain connectome data has both inspired and facilitated the modelling of whole brain activity using networks of phenomenological neural mass models that can incorporate both interaction strength and tract length between brai... Read More about Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses.

Connectivity profile and function of uniquely human cortical areas (2024)
Preprint / Working Paper
Bryant, K. L., Camilleri, J., Warrington, S., Blazquez Freches, G., Sotiropoulos, S. N., Jbabdi, S., Eickhoff, S., & Mars, R. B. (2024). Connectivity profile and function of uniquely human cortical areas

Quantitative comparison of the white matter organization of the human neocortex with that of the chimpanzee and macaque shows a wide distribution of areas with a uniquely human connectivity profile, including the frontal-parietal fiber systems and th... Read More about Connectivity profile and function of uniquely human cortical areas.

Objective QC for diffusion MRI data: artefact detection using normative modelling (2024)
Journal Article
Cirstian, R., Forde, N. J., Andersson, J. L., Sotiropoulos, S. N., Beckmann, C. F., & Marquand, A. F. (2024). Objective QC for diffusion MRI data: artefact detection using normative modelling. Imaging Neuroscience, 2, 1-14. https://doi.org/10.1162/imag_a_00144

Diffusion MRI is a neuroimaging modality used to evaluate brain structure at a microscopic level and can be exploited to map white matter fibre bundles and microstructure in the brain. One common issue is the presence of artefacts, such as acquisitio... Read More about Objective QC for diffusion MRI data: artefact detection using normative modelling.

The spatial extent of anatomical connections within the thalamus varies across the cortical hierarchy in humans and macaques (2024)
Preprint / Working Paper
Howell, A. M., Warrington, S., Fonteneau, C., Cho, Y. T., Sotiropoulos, S. N., Murray, J. D., & Anticevic, A. The spatial extent of anatomical connections within the thalamus varies across the cortical hierarchy in humans and macaques

Each cortical area has a distinct pattern of anatomical connections within the thalamus, a central subcortical structure composed of functionally and structurally distinct nuclei. Previous studies have suggested that certain cortical areas may have m... Read More about The spatial extent of anatomical connections within the thalamus varies across the cortical hierarchy in humans and macaques.

Generalising XTRACT tractography protocols across common macaque brain templates (2024)
Journal Article
Assimopoulos, S., Warrington, S., Bryant, K. L., Pszczolkowski, S., Jbabdi, S., Mars, R. B., & Sotiropoulos, S. N. (2024). Generalising XTRACT tractography protocols across common macaque brain templates. Brain Structure and Function, 229, 1873-1888. https://doi.org/10.1007/s00429-024-02760-0

Non-human primates are extensively used in neuroscience research as models of the human brain, with the rhesus macaque being a prominent example. We have previously introduced a set of tractography protocols (XTRACT) for reconstructing 42 correspondi... Read More about Generalising XTRACT tractography protocols across common macaque brain templates.

On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations (2024)
Journal Article
Helmer, M., Warrington, S., Mohammadi-Nejad, A.-R., Ji, J. L., Howell, A., Rosand, B., Anticevic, A., Sotiropoulos, S. N., & Murray, J. D. (2024). On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations. Communications Biology, 7(1), Article 217. https://doi.org/10.1038/s42003-024-05869-4

Associations between datasets can be discovered through multivariate methods like Canonical Correlation Analysis (CCA) or Partial Least Squares (PLS). A requisite property for interpretability and generalizability of CCA/PLS associations is stability... Read More about On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations.

Denoising Diffusion MRI: Considerations and implications for analysis (2023)
Journal Article
Manzano-Patron, J.-P., Moeller, S., Andersson, J. L. R., Ugurbil, K., Yacoub, E., & Sotiropoulos, S. N. (2024). Denoising Diffusion MRI: Considerations and implications for analysis. Imaging Neuroscience, 2, 1-29. https://doi.org/10.1101/2023.07.24.550348

Development of diffusion MRI (dMRI) denoising approaches has experienced considerable growth over the last years. As noise can inherently reduce accuracy and precision in measurements, its effects have been well characterised both in terms of uncerta... Read More about Denoising Diffusion MRI: Considerations and implications for analysis.

A resource for development and comparison of multimodal brain 3T MRI harmonisation approaches (2023)
Journal Article
Warrington, S., Ntata, A., Mougin, O., Campbell, J., Torchi, A., Craig, M., Alfaro-Almagro, F., Miller, K. L., Morgan, P. S., Jenkinson, M., & Sotiropoulos, S. N. (2023). A resource for development and comparison of multimodal brain 3T MRI harmonisation approaches. Imaging Neuroscience, 1(2023), 1-27. https://doi.org/10.1162/imag_a_00042

Despite the huge potential of magnetic resonance imaging (MRI) in mapping and exploring the brain, MRI measures can often be limited in their consistency, reproducibility and accuracy which subsequently restricts their quantifiability. Nuisance nonbi... Read More about A resource for development and comparison of multimodal brain 3T MRI harmonisation approaches.

Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data (2023)
Journal Article
Tewarie, P. K., Hindriks, R., Lai, Y. M., Sotiropoulos, S. N., Kringelbach, M., & Deco, G. (2023). Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data. NeuroImage, 276, Article 120186. https://doi.org/10.1016/j.neuroimage.2023.120186

Characterising brain states during tasks is common practice for many neuroscientific experiments using electrophysiological modalities such as electroencephalography (EEG) and magnetoencephalography (MEG). Brain states are often described in terms of... Read More about Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data.

QuNex – An Integrative Platform for Reproducible Neuroimaging Analytics (2023)
Journal Article
Ji, J. L., Demšar, J., Fonteneau, C., Tamayo, Z., Pan, L., Kraljič, A., Matkovič, A., Purg, N., Helmer, M., Warrington, S., Winkler, A., Zerbi, V., Coalson, T. S., Glasser, M. F., Harms, M. P., Sotiropoulos, S. N., Murray, J. D., Anticevic, A., & Repovš, G. (2023). QuNex – An Integrative Platform for Reproducible Neuroimaging Analytics. Frontiers in Neuroinformatics, 17, Article 1104508. https://doi.org/10.1101/2022.06.03.494750

Introduction: Neuroimaging technology has experienced explosive growth and transformed the study of neural mechanisms across health and disease. However, given the diversity of sophisticated tools for handling neuroimaging data, the field faces chall... Read More about QuNex – An Integrative Platform for Reproducible Neuroimaging Analytics.

Medio-dorsal thalamic dysconnectivity in chronic knee pain: A possible mechanism for negative affect and pain comorbidity (2022)
Journal Article
Iwabuchi, S. J., Drabek, M. M., Cottam, W. J., Tadjibaev, A., Mohammadi-Nejad, A. R., Sotiropoulos, S., Fernandes, G. S., Valdes, A. M., Zhang, W., Doherty, M., Walsh, D. A., & Auer, D. P. (2022). Medio-dorsal thalamic dysconnectivity in chronic knee pain: A possible mechanism for negative affect and pain comorbidity. European Journal of Neuroscience, 57(2), 373-387. https://doi.org/10.1111/ejn.15880

The reciprocal interaction between pain and negative affect is acknowledged but pain-related alterations in brain circuits involved in this interaction, such as the mediodorsal thalamus (MDThal), still require a better understanding. We sought to inv... Read More about Medio-dorsal thalamic dysconnectivity in chronic knee pain: A possible mechanism for negative affect and pain comorbidity.

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., Auer, D. P., & 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., Jbabdi, S., Mars, R. B., & 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.

White Matter Microstructural Alteration in Type 2 Diabetes: A Combined UK Biobank Study of Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging (2022)
Preprint / Working Paper
Alotaibi, A., Podlasek, A., AlTokhis, A., Tench, C. R., Mohammadi-Nejad, A.-R., Sotiropoulos, S. N., Constantinescu, C. S., Lee, S., & Dineen, R. A. White Matter Microstructural Alteration in Type 2 Diabetes: A Combined UK Biobank Study of Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging

Background: Type 2 diabetes mellitus impacts the brain microstructural environment. Diffusion tensor imaging (DTI) has been widely used to characterize white matter microstructural abnormalities in type 2 diabetes but fails to fully characterise dise... Read More about White Matter Microstructural Alteration in Type 2 Diabetes: A Combined UK Biobank Study of Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging.

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.