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Optimally-Discriminative Voxel-Based Morphometry significantly increases the ability to detect group differences in Schizophrenia, Mild Cognitive Impairment, and Alzheimer’s Disease
Optimally-Discriminative Voxel-Based Analysis (ODVBA) (Zhang and Davatzikos, 2011) is a recently-developed and validated framework of voxel-based group analysis, which transcends limitations of traditional Gaussian smoothing in forms of analysis such as the General Linear Model (GLM). ODVBA estimate...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3715724/ https://ncbi.nlm.nih.gov/pubmed/23631985 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2013.04.063 |
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