Frustrated hierarchical synchronization and emergent complexity in the human connectome network Villegas, Pablo Moretti, Paolo Muñoz Martínez, Miguel Ángel Computational science Complex networks The spontaneous emergence of coherent behavior through synchronization plays a key role in neural function, and its anomalies often lie at the basis of pathologies. Here we employ a parsimonious (mesoscopic) approach to study analytically and computationally the synchronization (Kuramoto) dynamics on the actual human-brain connectome network. We elucidate the existence of a so-far-uncovered intermediate phase, placed between the standard synchronous and asynchronous phases, i.e. between order and disorder. This novel phase stems from the hierarchical modular organization of the connectome. Where one would expect a hierarchical synchronization process, we show that the interplay between structural bottlenecks and quenched intrinsic frequency heterogeneities at many different scales, gives rise to frustrated synchronization, metastability, and chimera-like states, resulting in a very rich and complex phenomenology. We uncover the origin of the dynamic freezing behind these features by using spectral graph theory and discuss how the emerging complex synchronization patterns relate to the need for the brain to access –in a robust though flexible way– a large variety of functional attractors and dynamical repertoires without ad hoc fine-tuning to a critical point 2014-09-12T06:52:09Z 2014-09-12T06:52:09Z 2014 journal article Villegas, P.; Moretti, P.; Muñoz, M.A. Frustrated hierarchical synchronization and emergent complexity in the human connectome network. Scientific Reports, 4: 5990 (2014). [http://hdl.handle.net/10481/32991] 2045-2322 http://hdl.handle.net/10481/32991 10.1038/srep05990 eng http://creativecommons.org/licenses/by-nc-nd/3.0/ open access Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License Nature Publishing Group