Martin A. Lindquist, Ph.D.

2001 Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Biostatistics Biology, Radiology
"Martin Lindquist"


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Cun-Hui Zhang grad student 2001 Rutgers, New Brunswick
 (Fast functional MRI using two-dimensional prolate spheroidal wave functions.)


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Stephan Geuter post-doc 2016- Johns Hopkins (Neurotree)
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van der Miesen MM, Lindquist MA, Wager TD. (2019) Neuroimaging-based biomarkers for pain: state of the field and current directions. Pain Reports. 4: e751
Honari H, Choe AS, Pekar JJ, et al. (2019) Investigating the impact of autocorrelation on time-varying connectivity. Neuroimage
Shappell H, Caffo BS, Pekar JJ, et al. (2019) Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models. Neuroimage
Seminowicz DA, Remeniuk B, Krimmel SR, et al. (2019) Pain-Related Nucleus Accumbens Function: Modulation by Reward and Sleep Disruption. Pain
Krause AJ, Prather AA, Wager TD, et al. (2019) The pain of sleep loss: A brain characterization in humans. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Lindquist MA, Geuter S, Wager TD, et al. (2019) Modular preprocessing pipelines can reintroduce artifacts into fMRI data. Human Brain Mapping
Zhu X, Suarez-Jimenez B, Lazarov A, et al. (2018) Exposure-based therapy changes amygdala and hippocampus resting-state functional connectivity in patients with posttraumatic stress disorder. Depression and Anxiety
Mejia AF, Nebel MB, Barber AD, et al. (2018) Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. Neuroimage
Webb-Vargas Y, Chen S, Fisher A, et al. (2017) Big Data and Neuroimaging. Statistics in Biosciences. 9: 543-558
Syed MF, Lindquist M, Pillai JJ, et al. (2017) Dynamic functional connectivity states between the dorsal and ventral sensorimotor networks revealed by Dynamic Conditional Correlation analysis of resting state functional MRI. Brain Connectivity
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