The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Graph theoretical modeling of brain connectivity
Abstract
PURPOSE OF REVIEW: In recent years, there has been an explosion of studies on network modeling of brain connectivity. This review will focus mainly on recent findings concerning graph theoretical analysis of human brain networks with a variety of imaging modalities, including structural MRI, diffusion MRI, functional MRI, and EEG/MEG. RECENT FINDINGS: Recent studies have utilized graph theoretical approaches to investigate the organizational principles of brain networks. These studies have consistently shown many important statistical properties underlying the topological organization of the human brain, including modularity, small-worldness, and the existence of highly connected network hubs. Importantly, these quantifiable network properties were found to change during normal development, aging, and various neurological and neuropsychiatric diseases such as Alzheimer's disease and schizophrenia. Moreover, several studies have also suggested that these network properties correlate with behavioral and genetic factors. SUMMARY: The exciting research regarding graph theoretical analysis of brain connectivity yields truly integrative and comprehensive descriptions of the structural and functional organization of the human brain, which provides important implications for health and disease. Future research will most likely involve integrative models of brain structural and functional connectivity with multimodal neuroimaging data, exploring whether graph-based brain network analysis could yield reliable biomarkers for disease diagnosis and treatment.
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Citations
Cites
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Cited by
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Xia, M., Wang, J., & He, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068910 · Cited by 4,106
Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., & Yeo, B. T. T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx179 · Cited by 3,657
The effects of childhood maltreatment on brain structure, function and connectivity
Teicher, M. H., Samson, J. A., Anderson, C. M., & Ohashi, K. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.111 · Cited by 1,856
Annual research review: enduring neurobiological effects of childhood abuse and neglect
Teicher, M. H., & Samson, J. A. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12507 · Cited by 1,473
Modular and hierarchically modular organization of brain networks
Meunier, D., Lambiotte, R., & Bullmore, E. T. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00200 · Cited by 1,156
Metadata
- Authors
- He, Y., & Evans, A.
- Venue
- Current Opinion in Neurology
- Published
- 2010-08
- Volume
- 23
- Issue
- 4
- Pages
- 341-350
- ISSN
- 1350-7540 (ISSN-L)
- OpenAlex
- W2092655084
- Cited by
- 700
- References
- 13
- FWCI
- 23.17
- Type
- journal article
- Language
- en
- Open access
- closed
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