Saad Jbabdi
PhD
Associate Professor
- MRC career development fellow
My research concerns the study of structural and functional organisation of the brain at a systems level. Specifically, I am currently (mainly) involved in the following: (i) mathematical modelling of diffusion weighted MR; (ii) comparisons of in-vivo, ex-vivo, and histological techniques; (iv) comparative anatomy; (v) modelling detailed microstructure with novel MR pulse sequences; (vi) modelling the topographic organisation of brain connections and their relationship to brain function; (vii) models of individual variations in brain function.
Key publications
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Task-free MRI predicts individual differences in brain activity during task performance.
Journal article
Tavor I. et al, (2016), Science, 352, 216 - 220
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Human and monkey ventral prefrontal fibers use the same organizational principles to reach their targets: tracing versus tractography.
Journal article
Jbabdi S. et al, (2013), J Neurosci, 33, 3190 - 3201
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The topographic connectome.
Journal article
Jbabdi S. et al, (2013), Curr Opin Neurobiol, 23, 207 - 215
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Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems.
Journal article
Jbabdi S. et al, (2012), Magn Reson Med, 68, 1846 - 1855
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Tractography: where do we go from here?
Journal article
Jbabdi S. and Johansen-Berg H., (2011), Brain Connect, 1, 169 - 183
Recent publications
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Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction.
Journal article
Bastiani M. et al, (2019), Neuroimage, 184, 801 - 812
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Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes.
Journal article
Hernandez-Fernandez M. et al, (2018), Neuroimage
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Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects.
Journal article
Harms MP. et al, (2018), Neuroimage, 183, 972 - 984
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Feasibility of Diffusion Tensor and Morphologic Imaging of Peripheral Nerves at Ultra-High Field Strength.
Journal article
Schmid AB. et al, (2018), Invest Radiol, 53, 705 - 713
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Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces.
Journal article
Mars RB. et al, (2018), Trends Cogn Sci