Overcoming the effects of false positives and threshold bias in graph theoretical analyses of neuroimaging data

Graph theory (GT) is a powerful framework for quantifying topological features of neuroimaging-derived functional and structural networks. However, false positive (FP) connections arise frequently and influence the inferred topology of networks. Thresholding is often used to overcome this problem, b...

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Detalles Bibliográficos
Autores principales: Drakesmith, M., Caeyenberghs, K., Dutt, A., Lewis, G., David, A.S., Jones, D.K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558463/
https://www.ncbi.nlm.nih.gov/pubmed/25982515
http://dx.doi.org/10.1016/j.neuroimage.2015.05.011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558463/
https://www.ncbi.nlm.nih.gov/pubmed/25982515
http://dx.doi.org/10.1016/j.neuroimage.2015.05.011

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