Connectivity and complexity: the relationship between neuroanatomy and brain dynamics

By Olaf Sporns, Giulio Tononi, Gerald M. Edelman. Neural Networks, 2000

528 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/180c83db1ac1cb95aeea8609900a3592b9da3a78

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In Cognitive Neuroscience

Citations in the corpus

Cingulate-precuneus interactions: a new locus of dysfunction in adult attention-deficit/hyperactivity disorder. (2008, methodology): “Based on the assumption that cortical connectivity should be reciprocal (29), we used the timeseries corresponding to the region which differed significantly between groups in our primary analyses, and derived the corresponding positively and negatively predicted networks and their significant group”
Rhythms of the brain (2006, background): “Steriade et al. (1993b,d,e), Timofeev et al. (2000) described slow oscillations in the isolated cortical slab.”
Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain (2008, unknown): “Taken together, these results suggest a direct link between the functional and structural organization of the brain and a combined analysis could provide valuable information about the general architecture of the brain (Honey et al., 2007; Sporns et al., 2004, 2000).”
On How Network Architecture Determines the Dominant Patterns of Spontaneous Neural Activity (2008, methodology): “The mathematical framework used in this article is similar to those used by other authors investigating complex biological networks [11,12,21,22].”
Decoding brain states from fMRI connectivity graphs (2011, background): “Another attractive methodology to investigate functional networks is to rely on mathematicalgraphtheory;i.e.,constructingthe(undirected)graphfrom temporalcorrelationmatricesandcomputingrelatedmeasures;e.g.,node degree, hubbiness, and so on (Sporns et al., 2000; Salvador et al., 2005).”
The application of graph theoretical analysis to complex networks in the brain. (2007, unknown): “The authors speculate that this type of network architecture emerges as an adaptation to rich environments and promotes the development of a 'dynamic core' (Sporns et al., 2000b; Sporns and Tononi, 2002; Sporns and Zwi, 2004).”
An Evolutionarily Informed Education Science (2008, background): “These experience-expectant processes result in the automatic and effortless modification of plastic features of the modular systems.”
Evaluation of different measures of functional connectivity using a neural mass model (2004, background): “Available online on ScienceDirect (www.sciencedirect.com.) www.elsevier.com/locate/ynimg NeuroImage 21 (2004) 659–673 tion (Abeles, 1991; Sporns et al., 2000 ).”
Graph analysis of the human connectome: Promise, progress, and pitfalls (2013, unknown): “, 1999), and non-human primate nervous systems (Felleman and Van Essen, 1991; Hilgetag et al., 1996; Sporns et al., 2000; Young, 1992), as well as early computational analyses of the principles of cortical organization (Stephan et al.”
Statistical physics of vaccination (2016, background): “For example, social network, where existence of strong and weak ties between individuals are seen [205– 208], metabolic reaction pathways, predator-prey interactions in food webs [209, 210], different capabilities of transmitting electric signals in neural networks [211], unequal traffic on the Inte”
Efficiency of Functional Brain Networks and Intellectual Performance (2009, background): “Within this brain network, information is constantly processed and integrated between specialized, spatially distributed but functionally linked brain regions with coherent temporal dynamics (Sporns et al., 2000).”
Graph theoretical analysis of complex networks in the brain (2007, background): “[ 98 ]. Furthermore, networks selected for optimal complexity had relatively low 'wiring costs'.”