Brain Graphs: Graphical Models of the Human Brain Connectome
Top Cited Papers
- 27 April 2011
- journal article
- review article
- Published by Annual Reviews in Annual Review of Clinical Psychology
- Vol. 7 (1), 113-140
- https://doi.org/10.1146/annurev-clinpsy-040510-143934
Abstract
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 of nodes (denoting anatomical regions or recording electrodes) and interconnecting edges (denoting structural or functional connections). Topological and geometrical properties of these graphs can be measured and compared to random graphs and to graphs derived from other neuroscience data or other (nonneural) complex systems. Both structural and functional human brain graphs have consistently demonstrated key topological properties such as small-worldness, modularity, and heterogeneous degree distributions. Brain graphs are also physically embedded so as to nearly minimize wiring cost, a key geometric property. Here we offer a conceptual review and methodological guide to graphical analysis of human neuroimaging data, with an emphasis on some of the key assumptions, issues, and trade-offs facing the investigator.Keywords
This publication has 100 references indexed in Scilit:
- Network-level analysis of cortical thickness of the epileptic brainNeuroImage, 2010
- Global and local fMRI signals driven by neurons defined optogenetically by type and wiringNature, 2010
- The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced?NeuroImage, 2009
- Guidelines for reporting an fMRI studyNeuroImage, 2008
- Graphical-model-based multivariate analysis of functional magnetic-resonance dataNeuroImage, 2007
- A method for using blocked and event-related fMRI data to study “resting state” functional connectivityNeuroImage, 2007
- Classes of complex networks defined by role-to-role connectivity profilesNature Physics, 2006
- Adaptive reconfiguration of fractal small-world human brain functional networksProceedings of the National Academy of Sciences of the United States of America, 2006
- Conservation and evolution of gene coexpression networks in human and chimpanzee brainsProceedings of the National Academy of Sciences of the United States of America, 2006
- Modularity and community structure in networksProceedings of the National Academy of Sciences of the United States of America, 2006