Small-world brain networks revisited
DS Bassett, ET Bullmore - The Neuroscientist, 2017 - journals.sagepub.com
It is nearly 20 years since the concept of a small-world network was first quantitatively
defined, by a combination of high clustering and short path length; and about 10 years since …
defined, by a combination of high clustering and short path length; and about 10 years since …
Small-world brain networks
DS Bassett, ED Bullmore - The neuroscientist, 2006 - journals.sagepub.com
Many complex networks have a small-world topology characterized by dense local
clustering or cliquishness of connections between neighboring nodes yet a short path length …
clustering or cliquishness of connections between neighboring nodes yet a short path length …
Complex brain networks: graph theoretical analysis of structural and functional systems
E Bullmore, O Sporns - Nature reviews neuroscience, 2009 - nature.com
Recent developments in the quantitative analysis of complex networks, based largely on
graph theory, have been rapidly translated to studies of brain network organization. The …
graph theory, have been rapidly translated to studies of brain network organization. The …
Is the brain really a small-world network?
CC Hilgetag, A Goulas - Brain Structure and Function, 2016 - Springer
It is commonly assumed that the brain is a small-world network (eg, Sporns and Honey
2006). Indeed, one of the present authors claimed as much 15 years ago (Hilgetag et al …
2006). Indeed, one of the present authors claimed as much 15 years ago (Hilgetag et al …
The problem of thresholding in small-world network analysis
Graph theory deterministically models networks as sets of vertices, which are linked by
connections. Such mathematical representation of networks, called graphs are increasingly …
connections. Such mathematical representation of networks, called graphs are increasingly …
The brain as a complex system: using network science as a tool for understanding the brain
Although graph theory has been around since the 18th century, the field of network science
is more recent and continues to gain popularity, particularly in the field of neuroimaging. The …
is more recent and continues to gain popularity, particularly in the field of neuroimaging. The …
Graph analysis of the human connectome: promise, progress, and pitfalls
The human brain is a complex, interconnected network par excellence. Accurate and
informative mapping of this human connectome has become a central goal of neuroscience …
informative mapping of this human connectome has become a central goal of neuroscience …
[图书][B] Fundamentals of brain network analysis
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …
Brain graphs: graphical models of the human brain connectome
ET Bullmore, DS Bassett - Annual review of clinical psychology, 2011 - annualreviews.org
Brain graphs provide a relatively simple and increasingly popular way of modeling the
human brain connectome, using graph theory to abstractly define a nervous system as a set …
human brain connectome, using graph theory to abstractly define a nervous system as a set …
Combining network topology and information theory to construct representative brain networks
AI Luppi, EA Stamatakis - Network Neuroscience, 2021 - direct.mit.edu
Network neuroscience employs graph theory to investigate the human brain as a complex
network, and derive generalizable insights about the brain's network properties. However …
network, and derive generalizable insights about the brain's network properties. However …