A Multi-Dataset Evaluation of Frame Censoring for Motion Correction in Task-Based fMRI

Subject motion during fMRI can affect our ability to accurately measure signals of interest. In recent years, frame censoring—that is, statistically excluding motion-contaminated data within the general linear model using nuisance regressors—has appeared in several task-based fMRI studies as a mitig...

Descripción completa

Detalles Bibliográficos
Autores principales: Jones, Michael S., Zhu, Zhenchen, Bajracharya, Aahana, Luor, Austin, Peelle, Jonathan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506314/
https://www.ncbi.nlm.nih.gov/pubmed/36162001
http://dx.doi.org/10.52294/apertureneuro.2022.2.nxor2026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506314/
https://www.ncbi.nlm.nih.gov/pubmed/36162001
http://dx.doi.org/10.52294/apertureneuro.2022.2.nxor2026

Ejemplares similares