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Functional connectivity and structural covariance between regions of interest can be measured more accurately using multivariate distance correlation
Studies of brain-wide functional connectivity or structural covariance typically use measures like the Pearson correlation coefficient, applied to data that have been averaged across voxels within regions of interest (ROIs). However, averaging across voxels may result in biased connectivity estimate...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Academic Press
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922835/ https://www.ncbi.nlm.nih.gov/pubmed/27114055 http://dx.doi.org/10.1016/j.neuroimage.2016.04.047 |