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Characterization of disease‐related covariance topographies with SSMPCA toolbox: Effects of spatial normalization and PET scanners
To generate imaging biomarkers from disease‐specific brain networks, we have implemented a general toolbox to rapidly perform scaled subprofile modeling (SSM) based on principal component analysis (PCA) on brain images of patients and normals. This SSMPCA toolbox can define spatial covariance patter...
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| Hlavní autoři: | , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
John Wiley and Sons Inc.
2013
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3778048/ https://ncbi.nlm.nih.gov/pubmed/23671030 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.22295 |
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