… methods that model and analyze brain network data, such as those provided by graph theory…
neurobiologically insightful graph measures and techniques. Among these, the detection of …

… examples of graph theoretical research in brain networks, with an emphasis on studies of
the human brain. We thus consider the implications of complex brain networks for an …

… human brain network using fMRI data. We expect to see whether the recognition of brain
connectivity properties by graph theory (… compared to the traditional approaches. The remaining …

… All graph measures investigated here through simulations showed a N,k-… graph measures.
As said, we are convinced that graph theory is a valuable tool for analyzing brain networks but …

… the approaches proposed to date for building graphs to summarize brain connectivity and …
-based analysis has become a powerful and popular approach for assessing brain networks […

… can be detected in the way functional brain networks mature. Connectivity at rest and during
cognitive tasks has been studied using several methods [Ioannides, 2007; Sporns et al., …

… Furthermore, the authors found that the real brain networks were as resistant to random
attacks (ie removal of a randomly chosen vertex) as either random or scale free …

… study, because the brain is a complex network where local disruptions can … brain networks
obtained with neuroimaging techniques have been studied in AD with tools from graph theory…

… to introduce complex brain networks and graph theory to the … brain can be viewed as a
complex network and how graph … how complex network analyses and graph theory have already …

… they guide what constitutes a brain network and its elements, … that approaches that fail to take
the principles of graph theory … of the brain will likely mischaracterize brain network structure …