2 citations · 4 across the 10 of their papers we have counts for
10 papers
A Pipeline for ADNI Resting-State Functional MRI Processing and Quality Control
Saige Rutherford, Zeshawn Zahid, Robert C. Welsh +3
The Alzheimer's Disease Neuroimaging Initiative (ADNI) provides a comprehensive multimodal neuroimaging resource for studying aging and Alzheimer's disease (AD). Since its second w…
Bayesian brain mapping: a population-informed framework for personalized functional network topography and connectivity
Diego Derman, Nohelia Da Silva Sanchez, Damon D. Pham +3
The spatial topography of functional brain organization is increasingly recognized to play an important role in cognition and disease. Accounting for individual differences in func…
Fast Bayesian estimation of brain activation with cortical surface fMRI data using EM
Daniel A. Spencer, David Bolin, Amanda F. Mejia
Task functional magnetic resonance imaging (fMRI) is a type of neuroimaging data used to identify areas of the brain that activate during specific tasks or stimuli. These data are…
Fast Bayesian estimation of brain activation with cortical surface and subcortical fMRI data using EM
Daniel Spencer, David Bolin, Mary Beth Nebel +1
Analysis of brain imaging scans is critical to understanding the way the human brain functions, which can be leveraged to treat injuries and conditions that affect the quality of l…
Longitudinal surface-based spatial Bayesian GLM reveals complex trajectories of motor neurodegeneration in ALS
Amanda F. Mejia, Vincent Koppelmans, Laura Jelsone-Swain +2
Longitudinal fMRI datasets hold great promise for the study of neurodegenerative diseases, but realizing their potential depends on extracting accurate fMRI-based brain measures in…
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…