research
∙
04/28/2023
A robust multivariate, non-parametric outlier identification method for scrubbing in fMRI
Functional magnetic resonance imaging (fMRI) data contain high levels of...
share
research
∙
11/02/2022
Fast Bayesian estimation of brain activation with cortical surface fMRI data using EM
Task functional magnetic resonance imaging (fMRI) is a type of neuroimag...
research
∙
09/14/2022
Sources of residual autocorrelation in multiband task fMRI and strategies for effective mitigation
In task fMRI analysis, OLS is typically used to estimate task-induced ac...
research
∙
10/04/2021
Longitudinal surface-based spatial Bayesian GLM reveals complex trajectories of motor neurodegeneration in ALS
Longitudinal fMRI datasets hold great promise for the study of neurodege...
research
∙
06/12/2021
Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups
The general linear model (GLM) is a popular and convenient tool for esti...
research
∙
05/27/2020
A spatial template independent component analysis model for subject-level brain network estimation and inference
ICA is commonly applied to fMRI data to extract independent components (...
research
∙
06/17/2019