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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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Detalhes bibliográficos
Main Authors: Spetsieris, Phoebe, Ma, Yilong, Peng, Shichun, Ko, Ji Hyun, Dhawan, Vijay, Tang, Chris C., Eidelberg, David
Formato: Artigo
Idioma:Inglês
Publicado em: MyJove Corporation 2013
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Acesso em linha: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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