Network attributes for segregation and integration in the human brain.

By Olaf Sporns. Current Opinion in Neurobiology, 2013

1,018 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/d431ec4483c56795e5ce896a6506aa59772e21d6

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Insects have the capacity for subjective experience (2016, background): “In summary, the cortex has come to be viewed in a hierarchical manner as segregated modules or communities (neuronal populations such as cortical subregions) where neuronal integration and amplification perform specific local functions (Sporns, 2013).”
Mapping neurotransmitter systems to the structural and functional organization of the human neocortex (2021, background): “These wiring patterns display non-trivial architectural features including specialized network modules that support the segregation of information [120], as well as densely interconnected hub regions that are thought to support the integration of information [119, 130].”
Communication dynamics in complex brain networks (2017, background): “For example, as discussed earlier, the modular and core–periphery organization of many structural brain networks constrains the possible patterns of signal flow and the ease with which information can be distributed and shared 20,29,151 (FIG.”
Effects of aging on functional and structural brain connectivity☆ (2017, background): “Neural network theory suggests two fundamental features of brain function, namely functional segregation and functional integration (Sporns, 2013; Tononi et al., 1994).”
Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “Rich-club nodes tend to span multiple RSNs, thereby facilitating integration between them (Sporns, 2013; van den Heuvel and Sporns, 2013).”
The human connectome: Origins and challenges (2013, background): “…not only promotes complexity, as discussed by Herbert Simon, but also may bring numerous benefits, including cost-efficiency of the physical arrangement of the brain's wiring (Bullmore and Sporns, 2012) and a propensity for richly structured sustained and evoked neural dynamics (Wang et al., 2011).”
Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders (2014, background): “Furthermore, we provide an overview of the current state-of-the-art of whole-brain computational modelling and the application for understanding disease.”
The trees and the forest: Characterization of complex brain networks with minimum spanning trees. (2014, positive): “Many neuroscientists now think of the brain as a complex network which reflects an optimal balance between “segregation” and “integration” (Sporns, 2013).”
Decreased segregation of brain systems across the healthy adult lifespan (2014, background): “In younger adults, this modular architecture facilitates the common processing roles of areas within similar systems while allowing communication between systems with distinct processing roles (21).”
TMS and drugs revisited 2014. (2015, background): “This ability relies on the activation of highly specialized thalamic and cortical structures that interact on a subsecond timescale by means of long-range bundles of fibers (Park and Friston, 2013; Sporns, 2013).”
The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition (2016, background): “Despite recognition that both segregation and integration of brain networks are critical for cognitive function (Friston, 2009; Sporns, 2013; Deco et al., 2015), existing literature relating network reconfiguration across tasks rarely interprets findings within this dual segregation-integration…”