1 citations · 1 across the 2 of their papers we have counts for
3 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, Amanda F. Mejia
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…