Abstract
Imaging technologies are allowing neuroscientists to gain critical insights into the neural networks mediating a variety of cognitive processes. In this talk, I will review studies looking at the intricate relationship between the structure and function of brain networks. First, I will describe how the anatomical organization of the brain influences the patterns of static and dynamic functional interactions using MRI data. Then, I will expose the structural underpinnings of intrinsic coupling modes in the cerebral cortex using electrophysiological data. This research focuses on understanding how the structural connectivity within the cortex leads to the emergence of specific phase and envelope coupling patterns. These observations shed light on the complex interplay between the physical structure of the brain and its dynamic processes, demonstrating that brain function, mediated by neural networks, is intimately related to the anatomical scaffold.
Short Bio
Arnaud studied computer science at Polytech’Orléans, France, where he received an engineer diploma in 2006. Then, he did a master of science in medical imaging at Paris 12 University in 2007, where he got interested by neurosciences. In 2007-2010, Arnaud was a PhD student between the LIF in Paris (under the supervision of Habib Benali) and the INRIA in Sophia-Antipolis (under the supervision of Rachid Deriche). This is where he started to look at the relationship between brain structure and function. Between 2011 and 2013, Arnaud was a post-doctoral fellow at the LIB and also research engineer at the Brain and Spine Institute, where he provided expertise in MRI technics and analysis. From 2014, he is a post-doctoral fellow at the University Medical Center Hamburg-Eppendorf in Hamburg, Germany. Where he continues to develop ideas on computational analysis and modeling of brain network connectivity and dynamics.
References
https://doi.org/10.1371/journal.pcbi.1003530 https://doi.org/10.1016/j.neuroimage.2023.120212