29 citations · 31 across the 4 of their papers we have counts for
4 papers
Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups
Daniel Spencer, Yu, Yue +3
The general linear model (GLM) is a widely popular and convenient tool for estimating the functional brain response and identifying areas of significant activation during a task or…
A spatial template independent component analysis model for subject-level brain network estimation and inference
Amanda F. Mejia, David Bolin, Yu Ryan Yue +3
Independent component analysis is commonly applied to functional magnetic resonance imaging (fMRI) data to extract independent components (ICs) representing functional brain networ…
A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
Amanda Mejia, Yu Ryan Yue, David Bolin +2
Cortical surface fMRI (cs-fMRI) has recently grown in popularity versus traditional volumetric fMRI, as it allows for more meaningful spatial smoothing and is more compatible with…
Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression
Yu Ryan Yue, Martin A. Lindquist, Ji Meng Loh
In this work we perform a meta-analysis of neuroimaging data, consisting of locations of peak activations identified in 162 separate studies on emotion. Neuroimaging meta-analyses…