Use of Graph Theory to Evaluate Brain Networks: A Clinical Tool for a Small World?
2011; Radiological Society of North America; Volume: 259; Issue: 2 Linguagem: Inglês
10.1148/radiol.11110380
ISSN1527-1315
Autores Tópico(s)Advanced Neuroimaging Techniques and Applications
ResumoHomeRadiologyVol. 259, No. 2 PreviousNext Reviews and CommentaryEditorialsUse of Graph Theory to Evaluate Brain Networks: A Clinical Tool for a Small World?Jeffrey R. PetrellaJeffrey R. PetrellaAuthor AffiliationsFrom the Division of Neuroradiology, and Alzheimer Disease Imaging Research Laboratory, Department of Radiology, Duke University Medical Center, Box 3808, Durham, NC 27710-3808.Address correspondence to the author (e-mail: [email protected]).Jeffrey R. PetrellaPublished Online:May 1 2011https://doi.org/10.1148/radiol.11110380MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In AbstractThe application of graph theory principles to neuroimaging data offers a powerful approach with which to characterize and quantify the large-scale structural and functional networks of the brain, thereby enabling assessment of both the efficiency of information transfer between different brain regions and the implications of widespread damage or local damage to specific anatomic regions.References1 Whitlow CT, Casanova R, Maldjian JA. Effect of resting-state functional MR imaging duration on stability of graph theory metrics of brain network connectivity. Radiology 2011;259(2):516–524. Link, Google Scholar2 Euler L. Solutio problematis ad geometriam situs pertinentis. Commentarii Academiae Scientiarum Imperialis Petropolitanae 1736;8:128–140. Google Scholar3 Watts DJ, Strogatz SH. 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