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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Connectivity and the search for specializations in the language-capable brain
Journal article
Mars RB. et al, (2018), Current Opinion in Behavioral Sciences, 21, 19 - 26
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A gyral coordinate system predictive of fibre orientations.
Journal article
Cottaar M. et al, (2018), Neuroimage
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Neuroimage special issue on brain segmentation and parcellation - Editorial.
Journal article
Craddock RC. et al, (2018), Neuroimage, 170, 1 - 4
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Concurrent white matter bundles and grey matter networks using independent component analysis.
Journal article
O'Muircheartaigh J. and Jbabdi S., (2018), Neuroimage, 170, 296 - 306
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Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology.
Journal article
Pallebage-Gamarallage M. et al, (2018), BMC Neurosci, 19