210 citations · 211 across the 6 of their papers we have counts for
6 papers
Statistical Network Analysis for Functional MRI: Summary Networks and Group Comparisons
Cedric E. Ginestet, Arnaud P. Fournel, Andrew Simmons
Comparing weighted networks in neuroscience is hard, because the topological properties of a given network are necessarily dependent on the number of edges of that network. This pr…
Group Analysis of Self-organizing Maps based on Functional MRI using Restricted Frechet Means
Arnaud P. Fournel, Emanuelle Reynaud, Michael J. Brammer +2
Studies of functional MRI data are increasingly concerned with the estimation of differences in spatio-temporal networks across groups of subjects or experimental conditions. Unsup…
Weighted Frechet Means as Convex Combinations in Metric Spaces: Properties and Generalized Median Inequalities
Cedric E. Ginestet, Andrew Simmons, Eric D. Kolaczyk
In this short note, we study the properties of the weighted Frechet mean as a convex combination operator on an arbitrary metric space, (Y,d). We show that this binary operator is…
Topological Randomness and Number of Edges Predict Modular Structure in Functional Brain Networks
Cedric E. Ginestet, Jonny O'Muircheartaigh, Owen G. O'Daly +1
In a recent paper, Bassett et al. (2011) have analyzed the static and dynamic organization of functional brain networks in humans. We here focus on the first claim made in this pap…
Recursive Shortest Path Algorithm with Application to Density-integration of Weighted Graphs
Cedric E. Ginestet, Andrew Simmons
Graph theory is increasingly commonly utilised in genetics, proteomics and neuroimaging. In such fields, the data of interest generally constitute weighted graphs. Analysis of such…
Brain Network Analysis: Separating Cost from Topology using Cost-integration
Cedric E. Ginestet, Thomas E. Nichols, Ed T. Bullmore +1
A statistically principled way of conducting weighted network analysis is still lacking. Comparison of different populations of weighted networks is hard because topology is inhere…