With the recent advances in high-field, quantitative MRI, in vivo investigation of human brain anatomy and function have reached the mesoscale, between 1 mm and 100 microns in resolution. This step is significant for neuroscience, as it can reveal fine details of cortical lamination, intra-cortical vasculature, small nuclei and their subfields, or the cerebellum in living humans, where only histological work on post-mortem samples was until now possible. Quantitative MRI techniques further refine the link between imaged MR contrasts and the underlying anatomical or physiological basis, making it possible to test competing hypotheses in the complex mechanisms of brain plasticity in health and disease. With this new level of MRI comes new challenges for computational processing methods: increased amounts of heterogeneous, multi-dimensional data, higher requirements on segmentation precision and accuracy, tighter integration of biophysical and computational models. My research aims at answering these methodological challenges in order to advance our understanding of brain anatomy, function, and plasticity in health and disease.
Pierre-Louis Bazin received his Ph.D. from Paris XI University and INRIA Rocquencourt, France, in 2001, and post-doctoral training at Brown University (Providence, RI, USA) from 2001 to 2003 and at Johns Hopkins University (Baltimore MD, USA) from 2003 to 2006. He worked at the Medical Image Computing lab at Johns Hopkins from 2003 to 2010 and at the departments of Neurophysics and Neurology of the Max Planck Institute for Human Cognitive and Brain Sciences (Leipzig, Germany) from 2011 to 2017 before joining the Netherlands Institute for Neuroscience and the Spinoza Centre. He is the recipient of a NIH Career Development Award and a Marie Curie International Reintegration Grant.