Cargando…
Using SPM 12’s Second-Level Bayesian Inference Procedure for fMRI Analysis: Practical Guidelines for End Users
Recent debates about the conventional traditional threshold used in the fields of neuroscience and psychology, namely P < 0.05, have spurred researchers to consider alternative ways to analyze fMRI data. A group of methodologists and statisticians have considered Bayesian inference as a candidate...
Autores principales: | Han, Hyemin, Park, Joonsuk |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5801291/ https://www.ncbi.nlm.nih.gov/pubmed/29456498 http://dx.doi.org/10.3389/fninf.2018.00001 |
Ejemplares similares
-
Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM
por: Pauli, Ruth, et al.
Publicado: (2016) -
A method to adjust a prior distribution in Bayesian second-level fMRI analysis
por: Han, Hyemin
Publicado: (2021) -
Bayesian Inference for Functional Dynamics Exploring in fMRI Data
por: Guo, Xuan, et al.
Publicado: (2016) -
Evaluation of Second-Level Inference in fMRI Analysis
por: Roels, Sanne P., et al.
Publicado: (2016) -
Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM()
por: López, J.D., et al.
Publicado: (2014)