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Improved autoregressive model for correction of noise serial correlation in fast fMRI
PURPOSE: In rapidly acquired functional MRI (fast fMRI) data, the noise serial correlations (SC) can produce problematically overestimated T‐statistics which lead to invalid statistical inferences. This study aims to evaluate and improve the accuracy of high‐order autoregressive model (AR(p), where...
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| Publicat a: | Magn Reson Med |
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| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
John Wiley and Sons Inc.
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7263980/ https://ncbi.nlm.nih.gov/pubmed/32060948 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.28203 |
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