2022
DOI: 10.1038/s41582-022-00753-3
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Functional brain networks in the evaluation of patients with neurodegenerative disorders

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Cited by 38 publications
(41 citation statements)
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“…Metabolic covariance patterns associated with XDP were identified using scaled subprofile modeling and principal component analysis (SSM/PCA) implemented using Scanvp software (available at https:// feinsteinneuroscience.org/). 26,27 Briefly, FDG PET scans from the derivation sample, which consisted of 15 patients with XDP and 15 HCs selected randomly from the total sample, were double-centered following natural logtransformation. This method produced a set of principal component (PC) images and corresponding expression values (subject scores) computed for each scan.…”
Section: Image Processingmentioning
confidence: 99%
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“…Metabolic covariance patterns associated with XDP were identified using scaled subprofile modeling and principal component analysis (SSM/PCA) implemented using Scanvp software (available at https:// feinsteinneuroscience.org/). 26,27 Briefly, FDG PET scans from the derivation sample, which consisted of 15 patients with XDP and 15 HCs selected randomly from the total sample, were double-centered following natural logtransformation. This method produced a set of principal component (PC) images and corresponding expression values (subject scores) computed for each scan.…”
Section: Image Processingmentioning
confidence: 99%
“…All network scores were standardized (z-scored) with respect to distribution of values from the HC sample used in pattern derivation. 26,27 In addition, the relationship between pattern expression and age was evaluated in each group and an age correction was applied based on the correlation observed in the HC sample.…”
Section: Image Processingmentioning
confidence: 99%
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