Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices.

By Olaf Sporns, Giulio Tononi, Gerald M. Edelman. Cerebral Cortex, 2000

759 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9925e0f0ddfd45eb6feec23491ca468ef4e937d3

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In Cognitive Neuroscience

Citations in the corpus

Consciousness as Integrated Information: a Provisional Manifesto (2008, background): “Moreover, the small world architecture of the cerebral cortex and its hub-like backbone may be especially well-suited to integrating information (Sporns et al., 2000; Hagmann et al., 2008).”
Efficiency and Cost of Economical Brain Functional Networks (2007, background): “[28], which showed that graphs computationally evolved for high complexity of dynamic behaviour had a sparse, small-world topology of edges between connected nodes.”
Rhythms of the brain (2006, background): “, Srinivasan et al. (1999). Unfortunately, EEG or MEG studies do not have the necessary spatial resolution to address these issues analytically.”
Motifs in Brain Networks (2004, methodology): “Interestingly, networks optimized for complexity (Tononi et al. 1994; Sporns et al. 2000) also exhibit small-world attributes, conserve wiring length, and produce motif frequency spectra similar to those of networks optimized for functional motif number (including a signiﬁcantly increased abundance…”
Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia (2008, methodology): “Following the seminal descriptions of cortical networks, based on tract tracing data that directly define anatomical connections between regions (Young, 1992), graph theoretical metrics were applied to quantification of nonhuman cortical connectivity matrices (Hilgetag et al., 2000; Stephan et al., ”
The small world of the cerebral cortex (2007, methodology): “In computer simulations (Sporns et al., 2000), small world topologies emerge when networks are optimized for complexity, a measure of how well a network combines functional segregation and integration (Tononi et al., 1998; Sporns and Tononi, 2002).”
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans (2009, background): “The highly modularized architecture elucidated here could reflect a fundamental design principle of spontaneous brain functional networks and contribute to various aspects of intrinsically functional organization of the human brain such as the balance of functional segregation and integration while ”
A Predictive Network Model of Cerebral Cortical Connectivity Based on a Distance Rule (2013, neutral): “Numerous tracer studies have extensively characterized the pathways linking cortical areas and have revealed many important principles of organization (Aflalo and Graziano, 2011; Barbas and Rempel-Clower, 1997; Boussaoud et al., 1990; Felleman and Van Essen, 1991; Jouve et al., 1998; Kaas and Collin”
Organization, development and function of complex brain networks. (2004, background): “attributes with short path lengths and high clustering coefficients [32-35] (Fig.”
Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac). (2001, result): “…1991; Graepel & Obermayer 1999; Hilgetag et al. 1996, 2000a,b; Jouve et al. 1998; KÎtter & Sommer 2000; Scannell 1997; Scannell et al. 1995, 1999; Sporns et al. 2000; Young 1992, 1993; Young et al. 1995, 2000) but they also stimulated numerous experimental investigations of predictions that…”
Spatial Networks (2010, neutral): “0 n/a; n/a n/a n/a Macaque VC [157] 32 9.”
Conserved and variable architecture of human white matter connectivity (2011, positive): “…interconnected regions are then bridged by a few important tracts, forming a topological structure which is thought to be theoretically conducive to both segregation (through clusters or modules) and integration (through connecting paths) of information processing (Sporns et al., 2000, 2004).”
On the relationship between emotion and cognition (2008, background): “Indeed, it appears that the brain is configured according to a small-world topology in which the path length between nodes is small — typically, cortical areas are connected directly or by just one or two intermediate area”
Exploring complex networks (2001, background): “Many empirical examples of small-world networks have been documented, in fields ranging from cell biology to busines”