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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
The scaled subprofile model (SSM)(1-4) is a multivariate PCA-based algorithm that identifies major sources of variation in patient and control group brain image data while rejecting lesser components (Figure 1). Applied directly to voxel-by-voxel covariance data of steady-state multimodality images,...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MyJove Corporation
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3728991/ https://ncbi.nlm.nih.gov/pubmed/23851955 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3791/50319 |
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