Postdoctoral Research Assistant
Improving diffusion MRI tractography with a focus on the cortical boundary
Diffusion MRI tractography struggles to accurately predict where white matter tracts actually terminate on the cortical surface. We are working on models to include the information of the cortical shape from structural MRI to improve the accuracy of the tractography close to the cortex, which should lead to more accurate mappings of which the connections to and between cortical regions.
Diffusion MRI data collected using the traditional pulsed gradient spin echo sequence does not contain enough information to extract all microstructural parameters expected to affect the signal. This leads to degeneracies between the parameters, which have to be resolved by making strong assumptions about the microstructural properties of the tissue. We are investigating more advanced diffusion MRI sequences (such as multiple diffusion encoding) intended to break this degeneracies as well as expanding current models to allow different microstructural parameters for fibers crossing within a single voxel.
The Gaia-ESO survey: Dynamical analysis of the L1688 region in Ophiuchus
Rigliaco E. et al, (2016), Astronomy and Astrophysics, 588
IN-SYNC. IV. THE YOUNG STELLAR POPULATION IN THE ORION A MOLECULAR CLOUD
Da Rio N. et al, (2016), Astrophysical Journal, 818
IN-SYNC. III. THE DYNAMICAL STATE OF IC 348 - A SUPER-VIRIAL VELOCITY DISPERSION AND A PUZZLING SIGN OF CONVERGENCE
Cottaar M. et al, (2015), Astrophysical Journal, 807
Gaia-ESO Survey: Analysis of pre-main sequence stellar spectra
Lanzafame AC. et al, (2015), Astronomy and Astrophysics, 576
In-sync. II. Virial stars from subvirial cores - The velocity dispersion of embedded pre-main-sequence stars in NGC 1333
Foster JB. et al, (2015), Astrophysical Journal, 799