41 citations · 47 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…