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Optimizing the performance of local canonical correlation analysis in fMRI using spatial constraints
The benefits of locally adaptive statistical methods for fMRI research have been shown in recent years, as these methods are more proficient in detecting brain activations in a noisy environment. One such method is local canonical correlation analysis (CCA), which investigates a group of neighboring...
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| Опубликовано в: : | Hum Brain Mapp |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wiley Subscription Services, Inc., A Wiley Company
2011
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5551496/ https://ncbi.nlm.nih.gov/pubmed/23074078 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.21388 |
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