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Neuroimage|December 17, 2008
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modelingMartin A Lindquist, Ji Meng Loh, Lauren Y Atlas, et al.Nature Neuroscience|February 24, 2017
Building better biomarkers: brain models in translational neuroimagingChoong-Wan Woo, Luke J Chang, Martin A Lindquist, et al.Journal of Neurophysiology|April 24, 2015
Explicit knowledge enhances motor vigor and performance: motivation versus practice in sequence tasksAaron L Wong, Martin A Lindquist, Adrian M Haith, et al.Pain|October 14, 2025
Accelerating discovery in pain science: the Acute to Chronic Pain Signatures programTor D Wager, Stephani P Sutherland, Martin A Lindquist, et al.Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|June 24, 2010
Everything you never wanted to know about circular analysis, but were afraid to askNikolaus Kriegeskorte, Martin A Lindquist, Thomas E Nichols, et al.Biostatistics (Oxford, England)|June 29, 2025
Causal functional mediation analysis with an application to functional magnetic resonance imaging dataYi Zhao, Xi Luo, Michael E Sobel, et al.Journal of the American Statistical Association|October 16, 2020
A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data AnalysisAmanda F Mejia, Yu Ryan Yue, David Bolin, et al.Biostatistics (Oxford, England)|March 24, 2017
PCA leverage: outlier detection for high-dimensional functional magnetic resonance imaging dataAmanda F Mejia, Mary Beth Nebel, Ani Eloyan, et al.Neuroimage|April 10, 2012
Dynamic connectivity regression: determining state-related changes in brain connectivityIvor Cribben, Ragnheidur Haraldsdottir, Lauren Y Atlas, et al.IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 5, 2006
A generalization of the two-dimensional prolate spheroidal wave function method for nonrectilinear MRI data acquisition methodsMartin A Lindquist, Cun-Hui Zhang, Gary Glover, et al.Pageof 16