Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors?
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- 作者：Alix Bouchona ; a.bouchon@unistra.fr" class="auth_mail" title="E-mail the corresponding author ; Vincent Nobleta ; Fabrice Heitza ; Julien Lamya ; Fré ; dé ; ric Blanca ; b ; Jean-Paul Armspacha
- 关键词：Diffusion tensor imaging ; General linear model ; Group comparison ; Tensor-based regression ; Euclidean ; Log-Euclidean and Riemannian manifolds
- 刊名：NeuroImage
- 出版年：2016
- 出版时间：15 November 2016
- 年：2016
- 卷：142
- 期：Complete
- 页码：99-112
- 全文大小：2728 K
文摘
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Comparison of several strategies for voxel-based group study on diffusion tensors
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Added value of tensor-based over scalar-based statistical tests
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Tensor-based General Linear Model provides an efficient way to account for covariates
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Euclidean, Log-Euclidean and Riemannian manifold show similar performance
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Interpretation of the detections through a characterization procedure