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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Academic Press
2015
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| Materias: | |
| 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 |