ロード中...
Comparison of multi‐subject ICA methods for analysis of fMRI data
Spatial independent component analysis (ICA) applied to functional magnetic resonance imaging (fMRI) data identifies functionally connected networks by estimating spatially independent patterns from their linearly mixed fMRI signals. Several multi‐subject ICA approaches estimating subject‐specific t...
保存先:
| 主要な著者: | , , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley Subscription Services, Inc., A Wiley Company
2010
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3117074/ https://ncbi.nlm.nih.gov/pubmed/21162045 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.21170 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|