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Comparing functional connectivity via thresholding correlations and singular value decomposition

We compare two common methods for detecting functional connectivity: thresholding correlations and singular value decomposition (SVD). We find that thresholding correlations are better at detecting focal regions of correlated voxels, whereas SVD is better at detecting extensive regions of correlated...

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Autors principals: Worsley, Keith J, Chen, Jen-I, Lerch, Jason, Evans, Alan C
Format: Artigo
Idioma:Inglês
Publicat: The Royal Society 2005
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC1854921/
https://ncbi.nlm.nih.gov/pubmed/16087436
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rstb.2005.1637
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