Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia
National Institute of Mental Health · University of Cambridge · +5 more institutions
Abstract
The complex organization of connectivity in the human brain is incompletely understood. Recently, topological measures based on graph theory have provided a new approach to quantify large-scale cortical networks. These methods have been applied to anatomical connectivity data on nonhuman species, and cortical networks have been shown to have small-world topology, associated with high local and global efficiency of information transfer. Anatomical networks derived from cortical thickness measurements have shown the same organizational properties of the healthy human brain, consistent with similar results reported in functional networks derived from resting state functional magnetic resonance imaging (MRI) and…
Citation impact
- FWCI
- 22.12
- Percentile
- 100%
- References
- 56
Authors
6- DSDanielle S. BassettCorresponding
National Institute of Mental Health
- ETEdward T. Bullmore
University of Cambridge, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital
- BABeth A. Verchinski
National Institutes of Health, National Institute of Mental Health
- VSVenkata S. Mattay
National Institutes of Health, National Institute of Mental Health
- DRDaniel R. Weinberger
National Institutes of Health, Gènes, synapses et cognition
Topics & keywords
- Schizophrenia (object-oriented programming)
- Neuroscience
- Hierarchical organization
- Functional connectivity
- Clustering coefficient
- Psychology
- Hierarchy
- Small-world network
- Partnerships for the goals