Joint source based morphometry identifies linked gray and white matter group differences

Abstract

We present a multivariate approach called joint source based morphometry (jSBM), to identify linked gray and white matter regions which differ between groups. In jSBM, joint independent component analysis (jICA) is used to decompose preprocessed gray and white matter images into joint sources and statistical analysis is used to determine the significant… (More)
DOI: 10.1016/j.neuroimage.2008.09.051

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@article{Xu2009JointSB, title={Joint source based morphometry identifies linked gray and white matter group differences}, author={Lai Xu and Godfrey D. Pearlson and Vince D. Calhoun}, journal={NeuroImage}, year={2009}, volume={44 3}, pages={777-89} }