autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data
The analysis of task-related fMRI data at the level of individual participants is commonly based on general linear modeling (GLM), which allows us to estimate the extent to which the BOLD signal can be explained by the task response predictors specified in the event model. The predictors are constru...
Main Authors: | Nina Purg, Jure Demšar, Alan Anticevic, Grega Repovš |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-12-01
|
Series: | Frontiers in Neuroimaging |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnimg.2022.983324/full |
Similar Items
-
Corrigendum: autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data
by: Nina Purg, et al.
Published: (2023-02-01) -
bayes4psy—An Open Source R Package for Bayesian Statistics in Psychology
by: Jure Demšar, et al.
Published: (2020-05-01) -
The impact of vasomotion on analysis of rodent fMRI data
by: Henriette Lambers, et al.
Published: (2023-02-01) -
The art and science of using quality control to understand and improve fMRI data
by: Joshua B. Teves, et al.
Published: (2023-04-01) -
Enhanced design matrix for task-related fMRI data analysis
by: Manuel Morante, et al.
Published: (2021-12-01)