578 citations · 608 across the 5 of their papers we have counts for
8 papers · 1 filter
Enhanced hyperalignment via spatial prior information
Angela Andreella, Livio Finos, Martin A Lindquist
Functional alignment between subjects is an important assumption of functional magnetic resonance imaging (fMRI) group-level analysis. However, it is often violated in practice, ev…
Improved fMRI-based Pain Prediction using Bayesian Group-wise Functional Registration
Guoqing Wang, Abhirup Datta, Martin A. Lindquist
In recent years, neuroimaging has undergone a paradigm shift, moving away from the traditional brain mapping approach toward developing integrated, multivariate brain models that c…
Bayesian Functional Registration of fMRI Activation Maps
Guoqing Wang, Abhirup Datta, Martin A. Lindquist
Functional magnetic resonance imaging (fMRI) has provided invaluable insight into our understanding of human behavior. However, large inter-individual differences in both brain ana…
Sparse Principal Component based High-Dimensional Mediation Analysis
Yi Zhao, Martin A. Lindquist, Brian S. Caffo
Causal mediation analysis aims to quantify the intermediate effect of a mediator on the causal pathway from treatment to outcome. With multiple mediators, which are potentially cau…
Functional Mediation Analysis with an Application to Functional Magnetic Resonance Imaging Data
Yi Zhao, Xi Luo, Martin Lindquist +1
Causal mediation analysis is widely utilized to separate the causal effect of treatment into its direct effect on the outcome and its indirect effect through an intermediate variab…
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…