Publications

Highlights

See full list of journal papers, book chapters and PhD theses or go to Pubmed Search.

Concurrent mapping of brain ontogeny and phylogeny within a common space: standardised tractography and applications

Warrington S, Thompson E, Bastiani M, Dubois J, Baxter L, Slater R, Jbabdi S, Mars RB, Sotiropoulos SN


Science Advances 8:42 (2022)

Mapping brain endophenotypes associated with idiopathic pulmonary fibrosis genetic risk

Mohammadi-Nejad AR, Allen RJ, Kraven LM, Leavy OC, Jenkins G, Wain LV, Auer DP, Sotiropoulos SN

eBioMedicine 86 (2022)

Non-negative data-driven mapping of structural connections with application to the neonatal brain.

Thompson E, Mohammadi-Nejad AR, Robinson EC, Andersson JLR, Jbabdi S, Glasser MF, Bastiani M, Sotiropoulos SN


Neuroimage 222:117273 (2020)

XTRACT - Standardised protocols for automated tractography in the human and macaque brain.

Warrington S, Bryant KL, Khrapitchev AA, Sallet J, Charquero-Ballester M, Douaud G, Jbabdi S, Mars RB, Sotiropoulos SN


Neuroimage 217:116923 (2020)

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.

Bastiani M, Andersson JLR, Cordero-Grande L, Murgasova M, Hutter J, Price AN, Makropoulos A, Fitzgibbon SP, Hughes E, Rueckert D, Victor S, Rutherford M, Edwards AD, Smith SM, Tournier JD, Hajnal JV, Jbabdi S, Sotiropoulos SN.

Neuroimage 185:750-763 (2019)

Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics.

Demirtas M, Burt JB, Helmer M, Ji JL, Adkinson BD, Glasser MF, Van Essen DC, Sotiropoulos SN, Anticevic A, Murray JD.

Neuron 101:1181-1194 (2019)

Whole brain comparative anatomy using connectivity blueprints.

Mars RB, Sotiropoulos SN, Passingham RE, Sallet J, Verhagen L, Khrapitchev AA, Sibson N, Jbabdi S.

Elife 7.pii:e35237 (2018)

Improved tractography using asymmetric fibre orientation distributions.

Bastiani M, Cottaar M, Dikranian K, Ghosh A, Zhang H, Alexander DC, Behrens TE, Jbabdi S, Sotiropoulos SN.

Neuroimage 158:205-218 (2017)

The Human Connectome Project's neuroimaging approach.

Glasser MF, Smith SM, Marcus DS, Andersson JL, Auerbach EJ, Behrens TE, Coalson TS, Harms MP, Jenkinson M, Moeller S, Robinson EC, Sotiropoulos SN, Xu J, Yacoub E, Ugurbil K, Van Essen DC.

Nature Neuroscience 19:1175-87 (2016)

Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project

Sotiropoulos SN, Hernández-Fernández M, Vu AT, Andersson JL, Moeller S, Yacoub E, Lenglet C, Ugurbil K, Behrens TEJ, Jbabdi S.

Neuroimage 134:396-409 (2016)

Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey

Donahue CJ, Sotiropoulos SN, Jbabdi S, Hernandez-Fernandez M, Behrens TE, Dyrby TB, Coalson T, Kennedy H, Knoblauch K, Van Essen DC, Glasser MF.

Journal of Neuroscience 36:6758-70 (2016)

An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.

Andersson JLR, Sotiropoulos SN.


Neuroimage 125:1063-1078 (2016)

Measuring macroscopic brain connections in vivo.

Jbabdi S, Sotiropoulos SN, Haber SN, Van Essen DC, Behrens TE.

Nature Neuroscience 18:1546-55 (2015)

Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

Sotiropoulos SN, Jbabdi S, Xu J, Andersson JL, Moeller S, Auerbach EJ, Glasser MF, Hernandez M, Sapiro G, Jenkinson M, Feinberg DA, Yacoub E, Lenglet C, Van Essen DC, Ugurbil K, Behrens TE.

Neuroimage 80:125-143 (2013)

 

Journal Papers Full list

  1. Connectivity profile and function of uniquely human cortical areas
    Bryant KL, Camilleri J, Warrington S, Freches GB, Sotiropoulos SN, Jbabdi S, Eickhoff S, Mars RB
    (2024)
  2. Personalized circuit modeling captures variation in cortical functional connectivity
    Cooper RA, Demirtas M, Burt JB, Howell AM, Ji JL, Repovs G, Sotiropoulos SN, Anticevic A, Murray JD
    (2024)
  3. Whole brain functional connectivity: insights from next generation neural mass modelling incorporating electrical synapses
    Forrester M, Petros S, Cattell O, Lai YM, O'Dea R, Sotiropoulos S, Coombes S
    PLOS Computational Biology 20:e1012647 (2024)
  4. Objective QC for diffusion MRI data: artefact detection using normative modelling
    Cirstian R, Forde NJ, Andersson JLR, Sotiropoulos SN, Beckmann CF, Marquand AF
    Imaging Neuroscience 2 (2024)
  5. The spatial extent of anatomical connections within the thalamus varies across the cortical hierarchy in humans and macaques
    Howell AM, Warrington S, Fontenau C, Cho YT, Sotiropoulos SN, Murray JD, Anticevic A
    eLife 13:RP95018 (2024)
  6. Generalising XTRACT Tractography Protocols Across Common Macaque Brain Templates
    Assimopoulos S, Warrington S, Bryant KL, Pszczolkowski S, Jbabdi S, Mars RB, Sotiropoulos SN
    Brain Structure and Function (2024)
  7. On stability of Canonical Correlation Analysis and Partial Least Squares with application to brain-behavior associations
    Helmer M, Warrington S, Mohammadi-Nejad AR, Ji JL, Howell A, Rosand B, Anticevic A, Sotiropoulos SN, Murray JD
    Communications Biology 7:217 (2024)
  8. Denoising Diffusion MRI: Considerations and implications for analysis
    Manzano-Patron JP, Moeller S, Andersson JLR, Ugurbil K, Yacoub E, Sotiropoulos SN
    Imaging Neuroscience 2 (2024)
  9. A resource for development and comparison of multi-modal brain 3T MRI harmonisation approaches
    Warrington S, Ntata A, Mougin O, Campbell J, Torchi A, Craig M, Alfaro-Almagro F, Miller KL, Morgan PS, Jenkinson M, Sotiropoulos SN
    Imaging Neuroscience 1 (2023)
  10. Automated Detection of Cerebral Microbleeds on MR images using Knowledge Distillation Framework
    Sundaresan V, Arthofer C, Zamboni G, Murchison AG, Dineen RA, Rothwell PM, Auer DP, Wang C, Miller KM, Tendler BC, Alfaro-Almagro F, Sotiropoulos SN, Sprigg N, Griffanti L, Jenkinson M
    Frontiers in Neuroinformatics 17 (2023)
  11. Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data
    Tewarie PK, Hindriks R, Lai YM, Sotiropoulos SN, Kringelbach M, Deco G
    Neuroimage 120186 (2023)
  12. QuNex - An integrative platform for reproducible neuroimaging analytics
    Ji JL, Demsar J, Fonteneau C, Tamayo Z, Kraljic A, Matkovic A, Purg N, Helmer M, Warrington S, Winkler A, Zerbi V, Coalson TS , Glasser MF, Harms M, Sotiropoulos SN, Murray JD, Anticevic A, Repovs G
    Frontiers in Neuroinformatics 17 (2023)
  13. Concurrent mapping of brain ontogeny and phylogeny within a common space: standardised tractography and applications
    Warrington S, Thompson E, Bastiani M, Dubois J, Baxter L, Slater R, Jbabdi S, Mars RB, Sotiropoulos SN
    Science Advances 8:42 (2022)
  14. Mapping brain endophenotypes associated with idiopathic pulmonary fibrosis genetic risk
    Mohammadi-Nejad AR, Allen RJ, Kraven LM, Leavy OC, Jenkins G, Wain LV, Auer DP, Sotiropoulos SN
    eBioMedicine 86 (2022)
  15. Predicting time-resolved electrophysiological brain networks from structural eigenmodes
    Tewarie P, Prasse B, Meier J, Mandke K, Warrington S, Stam CJ, Brookes MJ, Mieghem PV, Sotiropoulos SN, Hillebrand A
    Human Brain Mapping 43:4475-4491 (2022)
  16. Medio-dorsal thalamic dysconnectivity in chronic knee pain: A possible mechanism for negative affect and pain comorbidity
    Iwabuchi SJ, Cottam WJ, Tadjibaev A, Drabek MM, Mohammadi-Nejad AR, Sotiropoulos SN, Fernandes WS, Valdes AM, Zhang W, Doherty M, Walsh D, Auer DP
    European Journal of Neuroscience (2022)
  17. The Developing Human Connectome Project Neonatal Data Release
    Edwards AD, Rueckert D, Smith SM, Seada SA, Alansary A, Almalbis J, ..., Sotiropoulos SN, Steinweg JK, Teixeira RP, Tenev T, Tournier JD, Tusor N, Uus A, Vecchiato K, Williams LZ, Wright R, Wurie J, Hajnal JV
    Frontiers in Neuroscience (2022)
  18. The Association Between Inadequate Sleep and Accelerated Brain Ageing
    Ramduny J, Bastiani M, Huedepohl R, Sotiropoulos SN, Chechlacz M
    Neurobiology of Aging 114:1-14 (2022)
  19. Anticholinergic drugs and forebrain MRI changes in cognitively normal people and those with mild cognitive impairment
    Meng D, Mohammadi-Nejad A, Sotiropoulos SN, Auer DP
    European Journal of Neurology 29:1344-1353 (2022)
  20. Right fronto-parietal networks mediate the neurocognitive benefits of enriched environments
    Brosnan MB, Shalev N, Ramduny J, Sotiropoulos SN, Chechlacz M
    Brain Communications 4:fcac080 (2022)
  21. Automated Detection of Candidate Subjects with Cerebral Microbleeds using Machine Learning
    Sundaresan V, Arthofer C, Zamboni G, Dineen RA, Rothwell PM, Sotiropoulos SN, Auer DP, Tozer D, Markus HS, Miller KL, Dragonu I, Sprigg N, Alfaro-Almagro F, Jenkinson M, Griffanti L
    Frontiers in Neuroinformatics 15:777828 (2022)
  22. Long-term connectome analysis reveals reshaping of visual, spatial networks in a model with vascular dementia features
    Hall GR, Boehm-Sturm P, Dirnagl U, Finke C, Foddis M, Harms C, Koch SP, Kuchling J, Madan CR, Mueller S, Sassi C, Sotiropoulos SN, Trueman RC, Wallis M, Yildirim F, Farr TD
    Stroke 53:1-11 (2022)
  23. The Human Connectome Project: A Retrospective
    Elam JS, Glasser MF, Harms MP, Sotiropoulos SN, Andersson JLR, Burgess GC, Curtiss SW, Oostenveld R, Larson-Prior LJ, Schoffelen JM, Hodge MR, Cler EA, Marcus DM, Barch DM, Yacoub E, Smith SM, Ugurbil K, Van Essen DC
    Neuroimage 244:118543 (2021)
  24. Modelling white matter in gyral blades as a continuous vector field
    Cottaar M, Bastiani M, Boddu N, Glasser MF, Haber S, Van Essen DC, Sotiropoulos SN*, Jbabdi S*
    Neuroimage 227:117693 (2021)
  25. Quantum Computing at the Frontiers of Biological Sciences
    Emani PS, Warrell J, Anticevic A, Bekiranov S, Gandal M, McConnell MJ, Sapiro G, Aspuru-Guzik A, Baker J, Bastiani M, McClure P, Murray J, Sotiropoulos SN, Taylor J, Senthil G, Lehner T, Gerstein MB, Harrow AW
    Nature Methods 18:701-709 (2021)
  26. Uncertainty Modelling in Deep Learning for Safer Neuroimage Enhancement: Demonstration in Diffusion MRI.
    Tanno R, Worrall DE, Kaden E, Ghosh A, Grussu F, Bizzi A, Sotiropoulos SN, Criminisi A, Alexander DC
    Neuroimage 225:117366 (2021)
  27. Non-negative data-driven mapping of structural connections with application to the neonatal brain.
    Thompson E, Mohammadi-Nejad AR, Robinson EC, Andersson JLR, Jbabdi S, Glasser MF, Bastiani M, Sotiropoulos SN
    Neuroimage 222:117273 (2020)
  28. XTRACT - Standardised protocols for automated tractography in the human and macaque brain.
    Warrington S, Bryant KL, Khrapitchev AA, Sallet J, Charquero-Ballester M, Douaud G, Jbabdi S, Mars RB, Sotiropoulos SN
    Neuroimage 217:116923 (2020)
  29. The role of node dynamics in shaping emergent functional connectivity patterns in the brain.
    Forrester M, Crofts JJ, Sotiropoulos SN, Coombes S, O'Dea RD
    Network Neuroscience 4:467-483 (2020)
  30. Improved fibre dispersion estimation using b-tensor encoding.
    Cottaar M, Szczepankiewicz F, Bastiani M, Hernandez-Fernandez M, Sotiropoulos SN, Nilsson M, Jbabdi S
    Neuroimage 215:116832 (2020)
  31. A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging.
    Tournier J-D, Christiaens D, Hutter J, Price AN, Cordero-Grande L, Hughes E, Bastiani M, Sotiropoulos SN, Smith SM, Rueckert D, Counsell SJ, Edwards DA, Hajnal JV
    NMR in Biomedicine 33:e4348 (2020)
  32. Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing.
    Autio JA, Glasser MF, Ose T, Donahue CJ, Bastiani M, Ohno M, Kawabata Y, Urushibata Y, Murata K, Nishigori K, Yamaguchi M, Hori Y, Yoshida A, Go Y, Coalson TS, Jbabdi S, Sotiropoulos SN, Kennedy H, Smith S, Van Essen DC, Hayashi T.
    Neuroimage 215:116800 (2020)
  33. Mechanisms and Risk Factors Contributing to Visual Field Deficits following Stereotactic Laser Amygdalohippocampotomy.
    Voets NL, Alvarez I, Qiu D, Leatherday C, Willie JT, Sotiropoulos S, Gleichgerrcht E, Bonilha L, Pedersen NP, Kadom N, Saindane AM, Gross RE, Drane DL.
    Stereotactic and Functional Neurosurgery 97:255-265 (2019)
  34. Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.
    Bastiani M, Andersson JLR, Cordero-Grande L, Murgasova M, Hutter J, Price AN, Makropoulos A, Fitzgibbon SP, Hughes E, Rueckert D, Victor S, Rutherford M, Edwards AD, Smith SM, Tournier JD, Hajnal JV, Jbabdi S, Sotiropoulos SN.
    Neuroimage 185:750-763 (2019)
  35. MRS and DTI evidence of progressive posterior cingulate cortex and corpus callosum injury in the hyper-acute phase after Traumatic Brain Injury.
    Lawrence TP, Steel A, Ezra M, Speirs M, Pretorius PM, Douaud G, Sotiropoulos S, Cadoux-Hudson T, Emir UE, Voets NL.
    Brain Injury 33:854-868 (2019)
  36. Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes.
    Hernandez-Fernandez M, Reguly I, Jbabdi S, Giles M, Smith S, Sotiropoulos SN.
    Neuroimage 188:598-615 (2019)
  37. Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics.
    Demirtas M, Burt JB, Helmer M, Ji JL, Adkinson BD, Glasser MF, Van Essen DC, Sotiropoulos SN, Anticevic A, Murray JD.
    Neuron 101:1181-1194 (2019)
  38. How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes.
    Tewarie P, Abeysuriya R, Byrne Á, O'Neill GC, Sotiropoulos SN, Brookes MJ, Coombes S.
    Neuroimage 186:211-220 (2019)
  39. Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction.
    Bastiani M, Cottaar M, Fitzgibbon SP, Suri S, Alfaro-Almagro F, Sotiropoulos SN, Jbabdi S, Andersson JLR.
    Neuroimage 184:801-812 (2019)
  40. Cognition based bTBI mechanistic criteria; a tool for preventive and therapeutic innovations.
    Garcia-Gonzalez D, Race NS, Voets NL, Jenkins DR, Sotiropoulos SN, Acosta G, Cruz-Haces M, Tang J, Shi R, Jérusalem A.
    Scientific Reports 8:10273 (2018)
  41. Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects.
    Harms MP, Somerville LH, Ances BM, Andersson J, Barch DM, Bastiani M, Bookheimer SY, Brown TB, Buckner RL, Burgess GC, Coalson TS, Chappell MA, Dapretto M, Douaud G, Fischl B, Glasser MF, Greve DN, Hodge C, Jamison KW, Jbabdi S, Kandala S, Li X, Mair RW, Mangia S, Marcus D, Mascali D, Moeller S, Nichols TE, Robinson EC, Salat DH, Smith SM, Sotiropoulos SN, Terpstra M, Thomas KM, Tisdall MD, Ugurbil K, van der Kouwe A, Woods RP, Zöllei L, Van Essen DC, Yacoub E.
    Neuroimage 183:972-984 (2018)
  42. Whole brain comparative anatomy using connectivity blueprints.
    Mars RB, Sotiropoulos SN, Passingham RE, Sallet J, Verhagen L, Khrapitchev AA, Sibson N, Jbabdi S.
    Elife 7.pii:e35237 (2018)
  43. A gyral coordinate system predictive of fibre orientations.
    Cottaar M, Bastiani M, Chen C, Dikranian K, Van Essen D, Behrens TE, Sotiropoulos SN, Jbabdi S.
    Neuroimage 176:417-430 (2018)
  44. A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks.
    Abeysuriya RG, Hadida J, Sotiropoulos SN, Jbabdi S, Becker R, Hunt BAE, Brookes MJ, Woolrich MW.
    PLoS Computational Biology 14:e1006007 (2018)
  45. Bayesian Optimisation of Large-Scale Biophysical Networks.
    Hadida J, Sotiropoulos SN, Abeysuriya RG, Woolrich MW, Jbabdi S.
    Neuroimage 174:219-236 (2018)
  46. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
    Alfaro-Almagro F, Jenkinson M, Bangerter NK, Andersson JLR, Griffanti L, Douaud G, Sotiropoulos SN, Jbabdi S, Hernandez-Fernandez M, Vallee E, Vidaurre D, Webster M, McCarthy P, Rorden C, Daducci A, Alexander DC, Zhang H, Dragonu I, Matthews PM, Miller KL, Smith SM.
    Neuroimage 166:400-424 (2018)
  47. Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning.
    Pisharady PK, Sotiropoulos SN, Duarte-Carvajalino JM, Sapiro G, Lenglet C.
    Neuroimage 167:488-503 (2018)
  48. The heritability of multi-modal connectivity in human brain activity.
    Colclough GL, Smith SM, Nichols TE, Winkler AM, Sotiropoulos SN, Glasser MF, Van Essen DC, Woolrich MW.
    Elife 6.pii:e20178 (2017)
  49. Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson's disease.
    Akram H, Sotiropoulos SN, Jbabdi S, Georgiev D, Mahlknecht P, Hyam J, Foltynie T, Limousin P, De Vita E, Jahanshahi M, Hariz M, Ashburner J, Behrens T, Zrinzo L.
    Neuroimage 158:332-345 (2017)
  50. Building connectomes using diffusion MRI: why, how and but.
    Sotiropoulos SN, Zalesky A.
    NMR in Biomedicine 32:e3752 (2017)
  51. Improved tractography using asymmetric fibre orientation distributions.
    Bastiani M, Cottaar M, Dikranian K, Ghosh A, Zhang H, Alexander DC, Behrens TE, Jbabdi S, Sotiropoulos SN.
    Neuroimage 158:205-218 (2017)
  52. Time-efficient and flexible design of optimized multishell HARDI diffusion.
    Hutter J, Tournier JD, Price AN, Cordero-Grande L, Hughes EJ, Malik S, Steinweg J, Bastiani M, Sotiropoulos SN, Jbabdi S, Andersson J, Edwards AD, Hajnal JV.
    Magnetic Resonance in Medicine 79:1276-1292 (2017)
  53. Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging.
    Mollink J, Kleinnijenhuis M, Cappellen van Walsum AV, Sotiropoulos SN, Cottaar M, Mirfin C, Heinrich MP, Jenkinson M, Pallebage-Gamarallage M, Ansorge O, Jbabdi S, Miller KL.
    Neuroimage 157:561-574 (2017)
  54. Studying neuroanatomy using MRI.
    Lerch JP, van der Kouwe AJ, Raznahan A, Paus T, Johansen-Berg H, Miller KL, Smith SM, Fischl B, Sotiropoulos SN.
    Nature Neuroscience 20:314-326 (2017)
  55. Image quality transfer and applications in diffusion MRI.
    Alexander DC, Zikic D, Ghosh A, Tanno R, Wottschel V, Zhang J, Kaden E, Dyrby TB, Sotiropoulos SN, Zhang H, Criminisi A.
    Neuroimage 152:283-298 (2017)
  56. Multimodal population brain imaging in the UK Biobank prospective epidemiological study.
    Miller KL, Alfaro-Almagro F, Bangerter NK, Thomas DL, Yacoub E, Xu J, Bartsch AJ, Jbabdi S, Sotiropoulos SN, Andersson JL, Griffanti L, Douaud G, Okell TW, Weale P, Dragonu I, Garratt S, Hudson S, Collins R, Jenkinson M, Matthews PM, Smith SM.
    Nature Neuroscience 19:1523-1536 (2016)
  57. Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images.
    Andersson JLR, Graham MS, Zsoldos E, Sotiropoulos SN.
    Neuroimage 141:556-572 (2016)
  58. The Human Connectome Project's neuroimaging approach.
    Glasser MF, Smith SM, Marcus DS, Andersson JL, Auerbach EJ, Behrens TE, Coalson TS, Harms MP, Jenkinson M, Moeller S, Robinson EC, Sotiropoulos SN, Xu J, Yacoub E, Ugurbil K, Van Essen DC.
    Nature Neuroscience 19:1175-87 (2016)
  59. Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project
    Sotiropoulos SN, Hernández-Fernández M, Vu AT, Andersson JL, Moeller S, Yacoub E, Lenglet C, Ugurbil K, Behrens TEJ, Jbabdi S.
    Neuroimage 134:396-409 (2016)
  60. Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey
    Donahue CJ, Sotiropoulos SN, Jbabdi S, Hernandez-Fernandez M, Behrens TE, Dyrby TB, Coalson T, Kennedy H, Knoblauch K, Van Essen DC, Glasser MF.
    Journal of Neuroscience 36:6758-70 (2016)
  61. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.
    Andersson JLR, Sotiropoulos SN.
    Neuroimage 125:1063-1078 (2016)
  62. A probabilistic atlas of the cerebellar white matter.
    van Baarsen KM, Kleinnijenhuis M, Jbabdi S, Sotiropoulos SN, Grotenhuis JA, van Cappellen van Walsum AM.
    Neuroimage 124:724-732 (2016)
  63. Structural Organization of the Corpus Callosum Predicts Attentional Shifts after Continuous Theta Burst Stimulation.
    Chechlacz M, Humphreys GW, Sotiropoulos SN, Kennard C, Cazzoli D.
    Journal of Neuroscience 35:15353-68 (2015)
  64. High resolution whole brain diffusion imaging at 7T for the Human Connectome Project.
    Vu AT, Auerbach E, Lenglet C, Moeller S, Sotiropoulos SN, Jbabdi S, Andersson J, Yacoub E, Ugurbil K.
    Neuroimage 122:318-331 (2015)
  65. Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization.
    Canales-Rodríguez EJ, Daducci A, Sotiropoulos SN, Caruyer E, Aja-Fernández S, Radua J, Yurramendi Mendizabal JM, Iturria-Medina Y, Melie-García L, Alemán-Gómez Y, Thiran JP, Sarró S, Pomarol-Clotet E, Salvador R.
    PLoS One 10:e0138910 (2015)
  66. Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes
    Andersson JL, Sotiropoulos SN.
    Neuroimage 122:166-176 (2015)
  67. Measuring macroscopic brain connections in vivo.
    Jbabdi S, Sotiropoulos SN, Haber SN, Van Essen DC, Behrens TE.
    Nature Neuroscience 18:1546-55 (2015)
  68. Normalisation of brain connectivity through compensatory behaviour, despite congenital hand absence.
    Hahamy A, Sotiropoulos SN, Henderson Slater D, Malach R, Johansen-Berg H, Makin TR.
    Elife 4 (2015)
  69. Advances in diffusion MRI acquisition and processing in the Human Connectome Project.
    Sotiropoulos SN, Jbabdi S, Xu J, Andersson JL, Moeller S, Auerbach EJ, Glasser MF, Hernandez M, Sapiro G, Jenkinson M, Feinberg DA, Yacoub E, Lenglet C, Van Essen DC, Ugurbil K, Behrens TE.
    Neuroimage 80:125-143 (2013)
  70. Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE.
    Sotiropoulos SN, Moeller S, Jbabdi S, Xu J, Andersson JL, Auerbach EJ, Yacoub E, Feinberg D, Setsompop K, Wald LL, Behrens TE, Ugurbil K, Lenglet C.
    Magnetic Resonance in Medicine 70:1682-9 (2013)
  71. Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.
    Uğurbil K, Xu J, Auerbach EJ, Moeller S, Vu AT, Duarte-Carvajalino JM, Lenglet C, Wu X, Schmitter S, Van de Moortele PF, Strupp J, Sapiro G, De Martino F, Wang D, Harel N, Garwood M, Chen L, Feinberg DA, Smith SM, Miller KL, Sotiropoulos SN, Jbabdi S, Andersson JL, Behrens TE, Glasser MF, Van Essen DC, Yacoub E.
    Neuroimage 80:80-104 (2013)
  72. Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs.
    Hernández M, Guerrero GD, Cecilia JM, García JM, Inuggi A, Jbabdi S, Behrens TE, Sotiropoulos SN.
    PLoS One 8:e61892 (2013)
  73. The minimal preprocessing pipelines for the Human Connectome Project.
    Glasser MF, Sotiropoulos SN, Wilson JA, Coalson TS, Fischl B, Andersson JL, Xu J, Jbabdi S, Webster M, Polimeni JR, Van Essen DC, Jenkinson M.
    Neuroimage 80:105-124 (2013)
  74. The topographic connectome.
    Jbabdi S, Sotiropoulos SN, Behrens TE.
    Current Opinion on Neurobiology 23:207-215 (2013)
  75. RubiX: combining spatial resolutions for Bayesian inference of crossing fibers in diffusion MRI.
    Sotiropoulos SN, Jbabdi S, Andersson JL, Woolrich MW, Ugurbil K, Behrens TE.
    IEEE Transactions on Medical Imaging 32:969-82 (2013)
  76. Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI.
    Sotiropoulos SN, Behrens TE, Jbabdi S.
    Neuroimage 60:1412-25 (2012)
  77. Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems.
    Jbabdi S, Sotiropoulos SN, Savio AM, Graña M, Behrens TE.
    Magnetic Resonance in Medicine 68:1846-55 (2012)
  78. Brain tractography using Q-ball imaging and graph theory: Improved connectivities through fibre crossings via a model-based approach.
    Sotiropoulos SN, Bai L, Morgan PS, Constantinescu CS, Tench CR.
    Neuroimage 49:2444-56 (2010)
  79. A regularized two-tensor model fit to low angular resolution diffusion images using basis directions
    Sotiropoulos SN, Bai L, Morgan PS, Auer DP, Constantinescu CS, Tench CR.
    Journal of Magnetic Resonance Imaging 28:199-209 (2008)
  80. Assessing the direct effects of deep brain stimulation using embedded axon models
    Sotiropoulos SN, Steinmetz PN.
    Journal of Neural Engineering 4:107 (2007)

 

Book Chapters

  1. Probabilistic Tractography
    Girard G, Aydogan DB, Dell'Acqua F, Leemans A, Descoteaux M, Sotiropoulos SN
    In Handbook of Diffusion MR Tractography, Academic Press, 2024
  2. Connectivity and Connectomics
    Zalesky A, Sotiropoulos SN, Jbabdi S, Fornito A
    In Handbook of Diffusion MR Tractography, Academic Press, 2024
  3. MR diffusion tractography
    Behrens TEJ, Sotiropoulos SN, Jbabdi S
    In Diffusion MRI, 2nd Edition:From quantitative measurement to in-vivo neuroanatomy, Academic Press, 2013
  4. Mapping connections in humans and non-human primates: aspirations and challenges for diffusion imaging
    Van Essen DC, Jbabdi S, Sotiropoulos SN, Chen C, Dikranian K, Coalson T, Harwell H, Behrens TE, Glasser MF
    In Diffusion MRI, 2nd Edition:From quantitative measurement to in-vivo neuroanatomy, Academic Press, 2013

 

PhD Theses

  1. On noise, uncertainty and inference for computational diffusion MRI
    Jose Pedro Manzano-Patron (supervised by: S. N. Sotiropoulos, T. Kypraios)
    PhD University of Nottingham , 2023
  2. The numerical solution of neural field models posed on realistic cortical domains
    Sammy Petros (supervised by: S. Coombes, S. N. Sotiropoulos, P. Houston)
    PhD University of Nottingham , 2023
  3. On harmonisation of brain MRI data across scanners and sites
    Asante Ntata (supervised by: S. N. Sotiropoulos, O. Mougin)
    PhD University of Nottingham , 2023
  4. Brain connectivity mapping with diffusion MRI across individuals and species
    Shaun Warrington (supervised by: S. N. Sotiropoulos)
    PhD University of Nottingham , 2021
  5. Examining structural and functional connectivity change in animal models of cerebrovascular disease
    Gerard Hall (supervised by T. Farr, S. N. Sotiropoulos)
    PhD University of Nottingham , 2021
  6. Mapping connections in the neonatal brain with magnetic resonance imaging
    Elinor Thompson (supervised by: S. N. Sotiropoulos, M. Bastiani)
    PhD University of Nottingham , 2021
  7. Simulating Brain Resting-State Activity What Matters?
    Jonathan Hadida (supervised by: M. Woolrich, S. N. Sotiropoulos, S. Jbabdi)
    DPhil University of Oxford, 2018
  8. Accelerating computational diffusion MRI using Graphics Processing Units
    Moises Hernandez-Fernandez (supervised by: S. N. Sotiropoulos, M. Giles, S. Smith
    DPhil University of Oxford, 2017
  9.