Hierarchical organization unveiled by functional connectivity in complex brain networks.

By Changsong Zhou, L. Zemanova, Gorka Zamora, Claus C. Hilgetag, Jürgen Kurths. Physical Review Letters, 2006

475 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/b74e82e2ebe3900f7f356e78b9f9b1be6a3ccc85

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Computer Networks and Communications

Citations in the corpus

Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans (2009, methodology): “modules in the cat brain network, which broadly agree with several well-defined functional subdivisions such as the somatosensory-motor, auditory, visual, and fronto-limbic [38].”
Criticality in the brain: A synthesis of neurobiology, models and cognition. (2017, background): “There is now a very well established relationship between resting state brain networks and the underlying structural connectome from which they arise (Honey et al., 2007; Zhou et al., 2006).”
Synchronization in complex networks (2008, background): “As a whole, the functional connectivity reveals the hierarchical organization of the structural connectivity [212].”
Recurrence networks—a novel paradigm for nonlinear time series analysis (2009, background): “These measures have been successfully applied for studying real-world networks in various scientific disciplines, including the structural properties of infrastructures [25], biological [26], ecological [27] and climate networks [28, 29], to give some prominent examples.”
Modular and Hierarchically Modular Organization of Brain Networks (2010, methodology): “Zhou et al. (2006) used a modularity metric (Newman and Girvan, 2004) to quantify the optimality of this partition.”
Griffiths phases and the stretching of criticality in brain networks (2013, background): “[41] Zhou C, Zemanova L, Zamora G, Hilgetag CC, Kurths J (2006) Hierarchical Organization Unveiled by Functional Connectivity in Complex Brain Networks.”
Conserved and variable architecture of human white matter connectivity (2011, unknown): “Topological hierarchy directly impacts network dynamics (Zhou et al., 2006; Müller-Linow et al., 2008) by allowing for a structured segregation of function into small modules while that function is in turn governed by nodes at higher levels of the hierarchy.”
The application of graph theoretical analysis to complex networks in the brain. (2007, unknown): “The optimal balance between excitation and inhibition proved to be crucial (Shin and Kim, 2006; van Vreeswijk and Sompolinsky, 1996; de Arcangelis et al., 2006; Paula et al., 2006; Zemanova et al., 2006; Zhou et al., 2006b).”
Link Prediction in Complex Networks: A Survey (2010, background): “Empirical evidence indicates that many real networks are hierarchically organized, where nodes can be divided into groups, further subdivided into groups of groups, and so forth over multiple scales [21] (e.g., metabolic networks [39] and brain networks [76]).”
Graph theoretical analysis of complex networks in the brain (2007, background): “investigated the correlations between network topology and functional organization of complex brain networks [67,68].”
Broadband Criticality of Human Brain Network Synchronization (2009, background): “direct consequence of their stronger structural connectivity [44], as demonstrated in simulations of hierarchical dynamics on the cortical network of the cat [45].”
Multilayer networks (2013, background): “networks [59–61], networks of networks [62,63] and node-coloured networks [64,65] several years ago (i.”