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Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis
In this work, we apply a novel statistical method, multiset canonical correlation analysis (M-CCA), to study a group of functional magnetic resonance imaging (fMRI) datasets acquired during simulated driving task. The M-CCA method jointly decomposes fMRI datasets from different subjects/sessions int...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Springer US
2011
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3673747/ https://ncbi.nlm.nih.gov/pubmed/23750290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11265-010-0572-8 |
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