Outputs (72)

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. (in press). Objective QC for diffusion MRI data: artefact detection using normative modelling. Imaging Neuroscience, 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)
Journal Article
Howell, A. M., Warrington, S., Fonteneau, C., Cho, Y. T., Sotiropoulos, S. N., Murray, J. D., & Anticevic, A. (in press). The spatial extent of anatomical connections within the thalamus varies across the cortical hierarchy in humans and macaques. eLife, https://doi.org/10.7554/elife.95018.1

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, 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., Ji, J. L., Howell, A., Rosand, B., …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., 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., …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., …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., …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., …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.

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)
Working Paper
Alotaibi, A., Podlasek, A., AlTokhis, A., Tench, C. R., Mohammadi-Nejad, A., Sotiropoulos, S. N., …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., …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.

Concurrent mapping of brain ontogeny and phylogeny within a common connectivity space (2022)
Working Paper
Warrington, S., Thompson, E., Bastiani, M., Dubois, J., Baxter, L., Slater, R., …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., 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., …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., …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., …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.

A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging (2020)
Journal Article
Tournier, J., Christiaens, D., Hutter, J., Price, A. N., Cordero-Grande, L., Hughes, E., …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., …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, 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., …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., …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.

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.

Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction (2018)
Journal Article
Bastiani, M., Cottaar, M., Fitzgibbon, S. P., Suri, S., Alfaro-Almagro, F., Sotiropoulos, S. N., …Andersson, J. (2019). Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction. NeuroImage, 184, 801-812. https://doi.org/10.1016/j.neuroimage.2018.09.073

Diffusion MRI data can be affected by hardware and subject-related artefacts that can adversely affect downstream analyses. Therefore, automated quality control (QC) is of great importance, especially in large population studies where visual QC is no... Read More about Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction.

Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects (2018)
Journal Article
Harms, M. P., Somerville, L. H., Ances, B. M., Andersson, J., Barch, D. M., Bastiani, M., …Yacoub, E. (2018). Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects. NeuroImage, 183, 972-984. https://doi.org/10.1016/j.neuroimage.2018.09.060

The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are two large-scale brain imaging studies that will extend the recently completed HCP Young-Adult (HCP-YA) project to nearly the full lifespan, collecting structural, resting-sta... Read More about Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects.

Cognition based bTBI mechanistic criteria; a tool for preventive and therapeutic innovations (2018)
Journal Article
Garcia-Gonzalez, D., Race, N. S., Voets, N. L., Jenkins, D. R., Sotiropoulos, S. N., Acosta, G., …Jérusalem, A. (in press). Cognition based bTBI mechanistic criteria; a tool for preventive and therapeutic innovations. Scientific Reports, 8, Article 10273. https://doi.org/10.1038/s41598-018-28271-7

Blast-induced traumatic brain injury has been associated with neurodegenerative and neuropsychiatric disorders. To date, although damage due to oxidative stress appears to be important, the specific mechanistic causes of such disorders remain elusive... Read More about Cognition based bTBI mechanistic criteria; a tool for preventive and therapeutic innovations.

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project (2018)
Journal Article
Bastiani, M., Andersson, J. L., Cordero-Grande, L., Murgasova, M., Hutter, J., Price, A. N., …Sotiropoulos, S. N. (2019). Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. NeuroImage, 185, 750-763. https://doi.org/10.1016/j.neuroimage.2018.05.064

The developing Human Connectome Project is set to create and make available to the scientific community a 4-dimensional map of functional and structural cerebral connectivity from 20 to 44 weeks post-menstrual age, to allow exploration of the genetic... Read More about Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.

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.

A gyral coordinate system predictive of fibre orientations (2018)
Journal Article
Cottaar, M., Bastiani, M., Chen, C., Dikranian, K., Van Essen, D., Behrens, T. E., …Jbabdi, S. (2018). A gyral coordinate system predictive of fibre orientations. NeuroImage, 176, https://doi.org/10.1016/j.neuroimage.2018.04.040

When axonal fibres approach or leave the cortex, their trajectories tend to closely follow the cortical convolutions. To quantify this tendency, we propose a three-dimensional coordinate system based on the gyral geometry. For every voxel in the brai... Read More about A gyral coordinate system predictive of fibre orientations.

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.

A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks (2018)
Journal Article
Abeysuriya, R. G., Hadida, J., Sotiropoulos, S. N., Jbabdi, S., Becker, R., Hunt, B. A., …Woolrich, M. W. (in press). A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks. PLoS Computational Biology, 14(2), Article e1006007. https://doi.org/10.1371/journal.pcbi.1006007

Over long timescales, neuronal dynamics can be robust to quite large perturbations, such as changes in white matter connectivity and grey matter structure through processes including learning, aging, development and certain disease processes. One pos... Read More about A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale 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.

The heritability of multi-modal connectivity in human brain activity (2017)
Journal Article
Colclough, G. L., Smith, S. M., Nichols, T. E., Winkler, A. M., Sotiropoulos, S. N., Glasser, M. F., …Woolrich, M. W. (in press). The heritability of multi-modal connectivity in human brain activity. eLife, 6, Article e20178. https://doi.org/10.7554/eLife.20178

Patterns of intrinsic human brain activity exhibit a profile of functional connectivity that is associated with behaviour and cognitive performance, and deteriorates with disease. This paper investigates the relative importance of genetic factors and... Read More about The heritability of multi-modal connectivity in human brain activity.

Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson’s disease (2017)
Journal Article
Akram, H., Sotiropoulos, S. N., Jbabdi, S., Georgiev, D., Mahlknecht, P., Hyam, J., …Zrinzo, L. (2017). Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson’s disease. NeuroImage, 158, https://doi.org/10.1016/j.neuroimage.2017.07.012

Objectives Firstly, to identify subthalamic region stimulation clusters that predict maximum improvement in rigidity, bradykinesia and tremor, or emergence of side-effects; and secondly, to map-out the cortical fingerprint, mediated by the hyperdire... Read More about Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson’s disease.

Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning (2017)
Journal Article
Pisharady, P. K., Sotiropoulos, S. N., Duarte-Carvajalino, J. M., Sapiro, G., & Lenglet, C. (in press). Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning. NeuroImage, https://doi.org/10.1016/j.neuroimage.2017.06.052

We present a sparse Bayesian unmixing algorithm BusineX: Bayesian Unmixing for Sparse Inference-based Estimation of Fiber Crossings (X), for estimation of white matter fiber parameters from compressed (under-sampled) diffusion MRI (dMRI) data. Busine... Read More about Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning.

Improved tractography using asymmetric fibre orientation distributions (2017)
Journal Article
Bastiani, M., Cottaar, M., Dikranian, K., Ghosh, A., Zhang, H., Alexander, D. C., …Sotiropoulos, S. N. (2017). Improved tractography using asymmetric fibre orientation distributions. NeuroImage, 158, https://doi.org/10.1016/j.neuroimage.2017.06.050

Diffusion MRI allows us to make inferences on the structural organisation of the brain by mapping water diffusion to white matter microstructure. However, such a mapping is generally ill-defined; for instance, diffusion measurements are antipodally s... Read More about Improved tractography using asymmetric fibre orientation distributions.

Building connectomes using diffusion MRI: why, how and but (2017)
Journal Article
Sotiropoulos, S. N., & Zalesky, A. (in press). Building connectomes using diffusion MRI: why, how and but. NMR in Biomedicine, https://doi.org/10.1002/nbm.3752

Why has diffusion MRI become a principal modality for mapping connectomes in vivo? How do different image acquisition parameters, fiber tracking algorithms and other methodological choices affect connectome estimation? What are the main factors that... Read More about Building connectomes using diffusion MRI: why, how and but.

Evaluating fibre orientation dispersion in white matter: comparison of diffusion MRI, histology and polarized light imaging (2017)
Journal Article
Mollink, J., Kleinnijenhuis, M., Cappellen van Walsum, A. V., Sotiropoulos, S. N., Cottaar, M., Mirfin, C., …Miller, K. L. (2017). Evaluating fibre orientation dispersion in white matter: comparison of diffusion MRI, histology and polarized light imaging. NeuroImage, 157, https://doi.org/10.1016/j.neuroimage.2017.06.001

Diffusion MRI is an exquisitely sensitive probe of tissue microstructure, and is currently the only non-invasive measure of the brain’s fibre architecture. As this technique becomes more sophisticated and microstructurally informative, there is incre... Read More about Evaluating fibre orientation dispersion in white matter: comparison of diffusion MRI, histology and polarized light imaging.

Time-efficient and flexible design of optimized multishell HARDI diffusion (2017)
Journal Article
Hutter, J., Tournier, J. D., Price, A. N., Cordero-Grande, L., Hughes, E. J., Malik, S., …Hajnal, J. V. (2018). Time-efficient and flexible design of optimized multishell HARDI diffusion. Magnetic Resonance in Medicine, 79(3), 1276-1292. https://doi.org/10.1002/mrm.26765

Purpose: Advanced diffusion magnetic resonance imaging benefits from collecting as much data as is feasible but is highly sensitive to subject motion and the risk of data loss increases with longer acquisition times. Our purpose was to create a maxim... Read More about Time-efficient and flexible design of optimized multishell HARDI diffusion.

Image quality transfer and applications in diffusion MRI (2017)
Journal Article
Alexander, D. C., Zikic, D., Ghosh, A., Tanno, R., Wottschel, V., Zhang, J., …Criminisi, A. (2017). Image quality transfer and applications in diffusion MRI. NeuroImage, 152, https://doi.org/10.1016/j.neuroimage.2017.02.089

This paper introduces a new computational imaging technique called image quality transfer (IQT). IQT uses machine learning to transfer the rich information available from one-off experimental medical imaging devices to the abundant but lower-quality... Read More about Image quality transfer and applications in diffusion MRI.

Studying neuroanatomy using MRI (2017)
Journal Article
Lerch, J. P., van der Kouwe, A. J., Raznahan, A., Paus, T., Johansen-Berg, H., Miller, K. L., …Sotiropoulos, S. N. (in press). Studying neuroanatomy using MRI. Nature Neuroscience, 20(3), https://doi.org/10.1038/nn.4501

The study of neuroanatomy using imaging enables key insights into how our brains function, are shaped by genes and environment, and change with development, aging, and disease. Developments in MRI acquisition, image processing, and data modelling hav... Read More about Studying neuroanatomy using MRI.

Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016)
Journal Article
Miller, K. L., Alfaro-Almagro, F., Bangerter, N. K., Thomas, D. L., Yacoub, E., Xu, J., …Smith, S. M. (2016). Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nature Neuroscience, 19(11), https://doi.org/10.1038/nn.4393

Medical imaging has enormous potential for early disease prediction, but is impeded by the difficulty and expense of acquiring data sets before symptom onset. UK Biobank aims to address this problem directly by acquiring high-quality, consistently ac... Read More about Multimodal population brain imaging in the UK Biobank prospective epidemiological study.

The Human Connectome Project's neuroimaging approach (2016)
Journal Article
Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L., Auerbach, E. J., Behrens, T. E., …Van Essen, D. C. (2016). The Human Connectome Project's neuroimaging approach. Nature Neuroscience, 19(9), https://doi.org/10.1038/nn.4361

Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous methodological advances have also occurred, though inertia has slowed their adoption. This paper presents an integrated approach to data acquisition, analysis and s... Read More about The Human Connectome Project's neuroimaging approach.

Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images (2016)
Journal Article
Andersson, J. L., Graham, M. S., Zsoldos, E., & Sotiropoulos, S. N. (2016). Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. NeuroImage, 141, https://doi.org/10.1016/j.neuroimage.2016.06.058

Despite its great potential in studying brain anatomy and structure, diffusion magnetic resonance imaging (dMRI) is marred by artefacts more than any other commonly used MRI technique. In this paper we present a non-parametric framework for detecting... Read More about Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images.

Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey (2016)
Journal Article
Donahue, C. J., Sotiropoulos, S. N., Jbabdi, S., Hernandez-Fernandez, M., Behrens, T. E., Dyrby, T. B., …Glasser, M. F. (2016). Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey. Journal of Neuroscience, 36(25), 6758-6770. https://doi.org/10.1523/JNEUROSCI.0493-16.2016

Tractography based on diffusion MRI offers the promise of characterizing many aspects of long-distance connectivity in the brain, but requires quantitative validation to assess its strengths and limitations. Here, we evaluate tractography's ability t... Read More about Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey.

Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the Human Connectome Project (2016)
Journal Article
Sotiropoulos, S. N., Hernández-Fernández, M., Vu, A. T., Andersson, J. L., Moeller, S., Yacoub, E., …Jbabdi, S. (2016). Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the Human Connectome Project. NeuroImage, 134, 396-409. https://doi.org/10.1016/j.neuroimage.2016.04.014

Determining the acquisition parameters in diffusion magnetic resonance imaging (dMRI) is governed by a series of trade-offs. Images of lower resolution have less spatial specificity but higher signal to noise ratio (SNR). At the same time higher angu... Read More about Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the Human Connectome Project.

Structural organization of the corpus callosum predicts attentional shifts after continuous theta burst stimulation (2015)
Journal Article
Chechlacz, M., Humphreys, G. W., Sotiropoulos, S. N., Kennard, C., & Cazzoli, D. (2015). Structural organization of the corpus callosum predicts attentional shifts after continuous theta burst stimulation. Journal of Neuroscience, 35(46), https://doi.org/10.1523/JNEUROSCI.2610-15.2015

Repetitive transcranial magnetic stimulation (rTMS) applied over the right posterior parietal cortex (PPC) in healthy participants has been shown to trigger a significant rightward shift in the spatial allocation of visual attention, temporarily mimi... Read More about Structural organization of the corpus callosum predicts attentional shifts after continuous theta burst stimulation.

Measuring macroscopic brain connections in vivo (2015)
Journal Article
Jbabdi, S., Sotiropoulos, S. N., Haber, S. N., Van Essen, D. C., & Behrens, T. E. (2015). Measuring macroscopic brain connections in vivo. Nature Neuroscience, 18(11), https://doi.org/10.1038/nn.4134

Decades of detailed anatomical tracer studies in non-human animals point to a rich and complex organization of long-range white matter connections in the brain. State-of-the art in vivo imaging techniques are striving to achieve a similar level of de... Read More about Measuring macroscopic brain connections in vivo.

An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging (2015)
Journal Article
Andersson, J. L., & Sotiropoulos, S. N. (2016). An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage, 125, https://doi.org/10.1016/j.neuroimage.2015.10.019

In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions and subject movement in diffusion imaging. In addition a susceptibility-induced field can be supplied and will be incorporated int... Read More about An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.

Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes (2015)
Journal Article
Andersson, J. L., & Sotiropoulos, S. N. (2015). Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes. NeuroImage, 122, https://doi.org/10.1016/j.neuroimage.2015.07.067

Diffusion MRI offers great potential in studying the human brain microstructure and connectivity. However, diffusion images are marred by technical problems, such as image distortions and spurious signal loss. Correcting for these problems is non-tri... Read More about Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes.

Normalisation of brain connectivity through compensatory behaviour, despite congenital hand absence (2015)
Journal Article
Hahamy, A., Sotiropoulos, S. N., Henderson Slater, D., Malach, R., Johansen-Berg, H., & Makin, T. R. (2015). Normalisation of brain connectivity through compensatory behaviour, despite congenital hand absence. eLife, 4, Article e04605. https://doi.org/10.7554/eLife.04605.001

Previously we showed, using task-evoked fMRI, that compensatory intact hand usage after amputation facilitates remapping of limb representations in the cortical territory of the missing hand (Makin et al., 2013a). Here we show that compensatory arm u... Read More about Normalisation of brain connectivity through compensatory behaviour, despite congenital hand absence.

High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project (2015)
Journal Article
Vu, A., Auerbach, E., Lenglet, C., Moeller, S., Sotiropoulos, S. N., Jbabdi, S., …Ugurbil, K. (2015). High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project. NeuroImage, 122, https://doi.org/10.1016/j.neuroimage.2015.08.004

Mapping structural connectivity in healthy adults for the Human Connectome Project (HCP) benefits from high quality, high resolution, multiband (MB)-accelerated whole brain diffusion MRI (dMRI). Acquiring such data at ultrahigh fields (7 T and above)... Read More about High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project.

Advances in diffusion MRI acquisition and processing in the Human Connectome Project (2013)
Journal Article
Sotiropoulos, S. N., Jbabdi, S., Xu, J., Andersson, J. L., Moeller, S., Auerbach, E. J., …Behrens, T. E. (2013). Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage, 80, https://doi.org/10.1016/j.neuroimage.2013.05.057

The Human Connectome Project (HCP) is a collaborative 5-year effort to map human brain connections and their variability in healthy adults. A consortium of HCP investigators will study a population of 1200 healthy adults using multiple imaging modali... Read More about Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

The minimal preprocessing pipelines for the Human Connectome Project (2013)
Journal Article
Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., …Jenkinson, M. (2013). The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage, 80, https://doi.org/10.1016/j.neuroimage.2013.04.127

The Human Connectome Project (HCP) faces the challenging task of bringing multiple magnetic resonance imaging (MRI) modalities together in a common automated preprocessing framework across a large cohort of subjects. The MRI data acquired by the HCP... Read More about The minimal preprocessing pipelines for the Human Connectome Project.

Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs (2013)
Journal Article
Hernández, M., Guerrero, G. D., Cecilia, J. M., García, J. M., Inuggi, A., Jbabdi, S., …Sotiropoulos, S. N. (2013). Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs. PLoS ONE, 8(4), Article e61892. https://doi.org/10.1371/journal.pone.0061892

With the performance of central processing units (CPUs) having effectively reached a limit, parallel processing offers an alternative for applications with high computational demands. Modern graphics processing units (GPUs) are massively parallel pro... Read More about Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs.

The topographic connectome (2013)
Journal Article
Jbabdi, S., Sotiropoulos, S. N., & Behrens, T. E. (2013). The topographic connectome. Current Opinion in Neurobiology, 23(2), https://doi.org/10.1016/j.conb.2012.12.004

Central to macro-connectomics and much of systems neuroscience is the idea that we can summarise macroscopic brain connectivity using a network of ‘nodes’ and ‘edges’ — functionally distinct brain regions and the connections between them. This is an... Read More about The topographic connectome.

Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems (2012)
Journal Article
Jbabdi, S., Sotiropoulos, S. N., Savio, A. M., Graña, M., & Behrens, T. E. (2012). Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems. Magnetic Resonance in Medicine, 68(6), https://doi.org/10.1002/mrm.24204

In this article, we highlight an issue that arises when using multiple b?values in a model?based analysis of diffusion MR data for tractography. The non?monoexponential decay, commonly observed in experimental data, is shown to induce overfitting in... Read More about Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems.

Ball and rackets: inferring fiber fanning from diffusion-weighted MRI (2012)
Journal Article
Sotiropoulos, S. N., Behrens, T. E., & Jbabdi, S. (2012). Ball and rackets: inferring fiber fanning from diffusion-weighted MRI. NeuroImage, 60(2), https://doi.org/10.1016/j.neuroimage.2012.01.056

A number of methods have been proposed for resolving crossing fibers from diffusion-weighted (DW) MRI. However, other complex fiber geometries have drawn minimal attention. In this study, we focus on fiber orientation dispersion induced by within-vox... Read More about Ball and rackets: inferring fiber fanning from diffusion-weighted MRI.