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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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| 發表在: | Magn Reson Med |
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| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
John Wiley and Sons Inc.
2020
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| 主題: | |
| 在線閱讀: | 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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