Cargando…
Moderated t-tests for group-level fMRI analysis
In recent years, there has been significant criticism of functional magnetic resonance imaging (fMRI) studies with small sample sizes. The argument is that such studies have low statistical power, as well as reduced likelihood for statistically significant results to be true effects. The prevalence...
Autores principales: | Wang, Guoqing, Muschelli, John, Lindquist, Martin A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295929/ https://www.ncbi.nlm.nih.gov/pubmed/33962000 http://dx.doi.org/10.1016/j.neuroimage.2021.118141 |
Ejemplares similares
-
Parallel group independent component analysis for massive fMRI data sets
por: Chen, Shaojie, et al.
Publicado: (2017) -
Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 Years
por: Choe, Ann S., et al.
Publicado: (2015) -
Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R
por: Eloyan, Ani, et al.
Publicado: (2014) -
Sliding windows analysis can undo the effects of preprocessing when applied to fMRI data
por: Lindquist, Martin A.
Publicado: (2023) -
Mode decomposition-based time-varying phase synchronization for fMRI
por: Honari, Hamed, et al.
Publicado: (2022)