Network hubs in the human brain.

By Martijn P. van den Heuvel, Olaf Sporns. Trends in Cognitive Sciences, 2013

2,070 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/0afd6f7dd95b9ff4f9315e6bc42e020474ab2a85

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In Cognitive Neuroscience

In Experimental and Cognitive Psychology

Citations in the corpus

A Review of the Common Neurodegenerative Disorders: Current Therapeutic Approaches and the Potential Role of Nanotherapeutics (2022, background): “Neurons are central to the proper functioning of the human brain since they play a critical role in communication [7,8].”
Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review (2019, background): “…information about the topological architecture of human brain networks, such as small-worldness, modular organization, and highly connected or centralized hubs (Bullmore and Sporns, 2009, 2012; He and Evans, 2010; Meunier et al., 2010; Bullmore and Bassett, 2011; van den Heuvel and Sporns, 2013).”
The modular and integrative functional architecture of the human brain (2015, background): “It has been proposed that integration across modules occurs via brain regions with strong connectivity across many modules (40, 70, 71).”
Efficient hubs in the intelligent brain: Nodal efficiency of hub regions in the salience network is associated with general intelligence (2017, background): “Centrality as a graph theoretical concept characterizes the importance of a node in relation to all other nodes of the network (van den Heuvel & Sporns, 2013) and is usually quantified as degree centrality by the number of direct edges connecting a given node to other nodes in”
Network-Level Structure-Function Relationships in Human Neocortex (2016, background): “Due to their dense connectivity, hubs are hypothesized to act as bridges for signal traffic, facilitating the spread and integration of information in brain networks (Sporns et al. 2007; ZamoraLopez et al. 2010; van den Heuvel and Sporns 2013).”
Contributions and challenges for network models in cognitive neuroscience (2014, background): “…and posterior cingulate cortex, insula and portions of the superior frontal, temporal and lateral parietal cortex as putative network hubs 25–28 n p g r e v i e w classified as multimodal (transmodal or heteromodal) association regions, on the basis of their diverse and complex response…”
The theory of constructed emotion: an active inference account of interoception and categorization (2017, positive): “(A) Hubs of the rich club, adapted from van den Heuvel and Sporns (2013).”
Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders (2014, background): “Some of these hubs have high and diverse ‘rich’ patterns of dense interconnectivity (van den Heuvel and Sporns, 2013).”
Electroencephalographic Resting-State Networks: Source Localization of Microstates (2017, positive): “…theory have consistently identiﬁed these regions to be densely anatomically and functionally connected (Collin et al., 2014; Hagmann et al., 2008; van den Heuvel et al., 2012), taking a central role as major hubs in large-scale brain networks [for a review see van den Heuvel and Sporns (2013)].”
The hubs of the human connectome are generally implicated in the anatomy of brain disorders (2014, background): “…non-random or complex topological properties (Bullmore and Sporns, 2009), including fat-tailed degree distributions that reflect the existence of a minority of high degree (highly connected) hub nodes (Eguiluz et al., 2005; Achard et al., 2006; Sporns et al., 2007; van den Heuvel and Sporns, 2013).”