41 citations · 47 across the 6 of their papers we have counts for
6 papers
Excessive data censoring in fMRI undermines individual precision and weakens brain-behavior associations
Amanda Mejia, Joanne Hwang, Damon Pham +4
Censoring high-motion volumes in fMRI is common practice to reduce effects of head motion on functional connectivity (FC). Although aggressive censoring removes more noise, it caus…
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…
A robust multivariate, non-parametric outlier identification method for scrubbing in fMRI
Fatma Parlak, Damon D. Pham, Zeshawn Zahid +1
Functional magnetic resonance imaging (fMRI) data contain high levels of noise and artifacts. To avoid contamination of downstream analyses, fMRI-based studies must identify and re…
Sources of residual autocorrelation in multiband task fMRI and strategies for effective mitigation
Fatma Parlak, Damon D. Pham, Daniel A. Spencer +2
In task fMRI analysis, OLS is typically used to estimate task-induced activation in the brain. Since task fMRI residuals often exhibit temporal autocorrelation, it is common practi…
Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing
Damon Pham, Daniel McDonald, Lei Ding +2
Artifacts in functional MRI (fMRI) data cause deviations from common distributional assumptions, introduce spatial and temporal outliers, and reduce the signal-to-noise ratio of th…
ciftiTools: A package for reading, writing, visualizing and manipulating CIFTI files in R
Damon Pham, John Muschelli, Amanda Mejia
There is significant interest in adopting surface- and grayordinate-based analysis of MR data for a number of reasons, including improved whole-cortex visualization, the ability to…