Afyouni, S. & Nichols, T. E. Insight and inference for DVARS. NeuroImage 172, 291–312 (2018).
Di Martino, A. et al. The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Mol Psychiatry 19, 659–667 (2014).
Kim, S.-J., Koh, K., Boyd, S. & Gorinevsky, D. $\ell_1$ Trend Filtering. SIAM Rev. 51, 339–360 (2009).
Mejia, A. F., Nebel, M. B., Eloyan, A., Caffo, B. & Lindquist, M. A. PCA leverage: outlier detection for high-dimensional functional magnetic resonance imaging data. Biostatistics 18, 521–536 (2017).
Pham, D., McDonald, D., Ding, L., Nebel, M. B., & Mejia, A. Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing. NeuroImage, 119972 (2023).
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L. & Petersen, S. E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59, 2142–2154 (2012).
Tibshirani, R. J. Adaptive piecewise polynomial estimation via trend filtering. The Annals of Statistics 42, 285–323 (2014).
Sobczyk, P., Bogdan, M. & Josse, J. Bayesian Dimensionality Reduction With PCA Using Penalized Semi-Integrated Likelihood. Journal of Computational and Graphical Statistics 26, 826–839 (2017).
