Multivariate voxel-based morphometry successfully differentiates schizophrenia patients from healthy controls.

@article{Kawasaki2007MultivariateVM,
  title={Multivariate voxel-based morphometry successfully differentiates schizophrenia patients from healthy controls.},
  author={Yasuhiro Kawasaki and Michio Suzuki and Ferath Kherif and Tsutomu Takahashi and Shi-Yu Zhou and Kazue Nakamura and Mi{\'e} Matsui and Tomiki Sumiyoshi and Hikaru Seto and Masayoshi Kurachi},
  journal={NeuroImage},
  year={2007},
  volume={34 1},
  pages={235-42}
}
Currently available laboratory procedures might provide additional information to psychiatric diagnostic systems for more valid classifications of mental disorders. To identify the correlative pattern of gray matter distribution that best discriminates schizophrenia patients from healthy subjects, we applied discriminant function analysis techniques using the multivariate linear model and the voxel-based morphometry. The first analysis was conducted to obtain a statistical model that classified… CONTINUE READING
Highly Influential
This paper has highly influenced 10 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
94 Extracted Citations
0 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 94 extracted citations

Similar Papers

Loading similar papers…