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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Detalles Bibliográficos
Autores principales: Luo, Qingfei, Misaki, Masaya, Mulyana, Ben, Wong, Chung‐Ki, Bodurka, Jerzy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Full Papers—Imaging Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263980/
https://www.ncbi.nlm.nih.gov/pubmed/32060948
http://dx.doi.org/10.1002/mrm.28203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263980/
https://www.ncbi.nlm.nih.gov/pubmed/32060948
http://dx.doi.org/10.1002/mrm.28203

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