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, (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
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Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces.
Journal article
Mars RB. et al, (2018), Trends Cogn Sci
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An empirical, 21st century evaluation of phrenology.
Journal article
Parker Jones O. et al, (2018), Cortex, 106, 26 - 35
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A gyral coordinate system predictive of fibre orientations.
Journal article
Cottaar M. et al, (2018), Neuroimage, 176, 417 - 430