2007
DOI: 10.1016/j.cnr.2007.05.004
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Neural network approaches and their reproducibility in the study of verbal working memory and Alzheimer’s disease

Abstract: As clinical and cognitive neurosciences mature, the need for sophisticated neuroimaging analysis becomes more apparent. Multivariate analysis techniques have recently received increasing attention because they have attractive features that cannot be easily realized by the more commonly used univariate, voxel-wise, techniques. Multivariate approaches evaluate correlation/covariance of activation across brain regions, rather than proceeding on a voxel-by-voxel basis. Thus, their results can be more easily interp… Show more

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Cited by 23 publications
(18 citation statements)
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References 36 publications
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“…We used the scaled subprofile modeling (SSM) (Moeller et al, 1987; Spetsieris and Eidelberg, 2010) approach to calculate physiological brain age (BA) based on regional grey matter volumes from cortical and subcortical locations using the principal components analysis (PCA) toolbox (http://groups.google.-com/group/gcva) (Habeck et al, 2005; Habeck and Stern, 2007). Briefly, the eighty-four grey matter volume regions of interest were subjected to a principal component analysis.…”
Section: Methodsmentioning
confidence: 99%
“…We used the scaled subprofile modeling (SSM) (Moeller et al, 1987; Spetsieris and Eidelberg, 2010) approach to calculate physiological brain age (BA) based on regional grey matter volumes from cortical and subcortical locations using the principal components analysis (PCA) toolbox (http://groups.google.-com/group/gcva) (Habeck et al, 2005; Habeck and Stern, 2007). Briefly, the eighty-four grey matter volume regions of interest were subjected to a principal component analysis.…”
Section: Methodsmentioning
confidence: 99%
“…* The number of MSA subjects in the train set for fold 2 is 13 and total patients are 55. For test sets (2,3) and (1,2) MSA subjects are 27 and total subjects are 111. ** Composite accuracy and PPV values are the same.…”
Section: B Cross Validation Based On Brain Pattern Scoresmentioning
confidence: 99%
“…By contrast, voxelwise effects using mass univariate analysis are not direct representations of functional connectivity and are not as reproducible because they can include more global or cohort dependent non-disease related statistical variance which can overshadow disease related features [1], [3], [4]. Various newer MRI based approaches are still in early stages of development [21].…”
Section: B Cross Validation Based On Brain Pattern Scoresmentioning
confidence: 99%
See 1 more Smart Citation
“…3 This approach is based on principal components analysis and has been described in detail elsewhere. 4,5 In addition to creating the means to identify and validate specific metabolic covariance patterns related to disease, this computational method can be used to quantify these patterns in individual subjects. This application is particularly suitable for the study of novel therapies 6 , and in the investigation of presymptomatic individuals at risk for disease.…”
Section: Introductionmentioning
confidence: 99%