Martin A. Lindquist

51 papers Journal 48Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Statistical Opportunities in Neuroimaging. CoRR Jian Kang, Thomas E. Nichols, Lexin Li, Martin A. Lindquist, Hongtu Zhu
2025	—	`conf`	BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data. MICCAI (12) Arunkumar Kannan, Martin A. Lindquist, Brian Caffo
2025	J	`jnl`	BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data. CoRR Arunkumar Kannan, Martin A. Lindquist, Brian Caffo
2025	J	`jnl`	Expectation generation and its effect on subsequent pain and visual perception. PLoS Comput. Biol. Rotem Botvinik-Nezer, Stephan Geuter, Martin A. Lindquist, Tor D. Wager
2025	J	`jnl`	Graph-constrained analysis for multivariate functional data. J. Multivar. Anal. Debangan Dey, Sudipto Banerjee, Martin A. Lindquist, Abhirup Datta
2024	J	`jnl`	A Tensor Based Varying-Coefficient Model for Multi-Modal Neuroimaging Data Analysis. IEEE Trans. Signal Process. Pratim Guha Niyogi, Martin A. Lindquist, Tapabrata Maiti
2023	J	`jnl`	A machine learning based approach towards high-dimensional mediation analysis. NeuroImage Tanmay Nath, Brian Caffo, Tor D. Wager, Martin A. Lindquist
2022	J	`jnl`	Mode decomposition-based time-varying phase synchronization for fMRI Data. CoRR Hamed Honari, Martin A. Lindquist
2022	J	`jnl`	Mode decomposition-based time-varying phase synchronization for fMRI. NeuroImage Hamed Honari, Martin A. Lindquist
2021	J	`jnl`	Children with attention-deficit/hyperactivity disorder spend more time in hyperconnected network states and less time in segregated network states as revealed by dynamic connectivity analysis. NeuroImage Heather Shappell, Kelly A. Duffy, Keri Rosch, James J. Pekar, Stewart H. Mostofsky, Martin A. Lindquist, Jessica R. Cohen
2021	J	`jnl`	Detecting Task-Dependent Functional Connectivity in Group Iterative Multiple Model Estimation with Person-Specific Hemodynamic Response Functions. Brain Connect. Kelly A. Duffy, Zachary F. Fisher, Cara A. Arizmendi, Peter C. M. Molenaar, Joseph B. Hopfinger, Jessica R. Cohen, Adriene M. Beltz, Martin A. Lindquist, Michael N. Hallquist, Kathleen M. Gates
2021	J	`jnl`	Evaluating phase synchronization methods in fMRI: A comparison study and new approaches. NeuroImage Hamed Honari, Ann S. Choe, Martin A. Lindquist
2021	J	`jnl`	Moderated NeuroImage Guoqing Wang, John Muschelli, Martin A. Lindquist
2020	J	`jnl`	Evaluating phase synchronization methods in fMRI: a comparison study and new approaches. CoRR Hamed Honari, Ann S. Choe, Martin A. Lindquist
2020	J	`jnl`	Sparse principal component based high-dimensional mediation analysis. Comput. Stat. Data Anal. Yi Zhao, Martin A. Lindquist, Brian S. Caffo
2020	—	`conf`	Twin Classification in Resting-State Brain Connectivity. ISBI Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
2019	—	`conf`	Circular Pearson Correlation Using Cosine Series Expansion. ISBI Shih-Gu Huang, Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
2019	J	`jnl`	Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models. NeuroImage Heather Shappell, Brian S. Caffo, James J. Pekar, Martin A. Lindquist
2019	J	`jnl`	Investigating the impact of autocorrelation on time-varying connectivity. NeuroImage Hamed Honari, Ann S. Choe, James J. Pekar, Martin A. Lindquist
2018	J	`jnl`	Connectivity in fMRI: Blind Spots and Breakthroughs. IEEE Trans. Medical Imaging Victor Solo, Jean-Baptiste Poline, Martin A. Lindquist, Sean L. Simpson, F. DuBois Bowman, Moo K. Chung, Ben Cassidy
2018	J	`jnl`	Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI. CoRR Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk, Moo K. Chung
2018	J	`jnl`	Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. NeuroImage Amanda F. Mejia, Mary Beth Nebel, Anita D. Barber, Ann S. Choe, James J. Pekar, Brian S. Caffo, Martin A. Lindquist
2017	J	`jnl`	A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes. NeuroImage Anders Eklund, Martin A. Lindquist, Mattias Villani
2017	J	`jnl`	An M-estimator for reduced-rank system identification. Pattern Recognit. Lett. Shaojie Chen, Kai Liu, Yuguang Yang, Yuting Xu, Seonjoo Lee, Martin A. Lindquist, Brian S. Caffo, Joshua T. Vogelstein
2017	J	`jnl`	Assessing uncertainty in dynamic functional connectivity. NeuroImage Maria Kudela, Jaroslaw Harezlak, Martin A. Lindquist
2017	J	`jnl`	Comparing test-retest reliability of dynamic functional connectivity methods. NeuroImage Ann S. Choe, Mary Beth Nebel, Anita D. Barber, Jessica R. Cohen, Yuting Xu, James J. Pekar, Brian Caffo, Martin A. Lindquist
2017	J	`jnl`	Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance Imaging. Brain Connect. Maleeha F. Syed, Martin A. Lindquist, Jay J. Pillai, Shruti Agarwal, Sachin K. Gujar, Ann S. Choe, Brian Caffo, Haris I. Sair
2017	J	`jnl`	Group-regularized individual prediction: theory and application to pain. NeuroImage Martin A. Lindquist, Anjali Krishnan, Marina López-Solà, Marieke Jepma, Choong-Wan Woo, Leonie Koban, Mathieu Roy, Lauren Y. Atlas, Liane Schmidt, Luke J. Chang, Elizabeth A. Reynolds Losin, Hedwig Eisenbarth, Yoni K. Ashar, Elizabeth Delk, Tor D. Wager
2017	J	`jnl`	Slow-5 dynamic functional connectivity reflects the capacity to sustain cognitive performance during pain. NeuroImage Joshua C. Cheng, Rachael L. Bosma, Kasey S. Hemington, Aaron Kucyi, Martin A. Lindquist, Karen D. Davis
2016	J	`jnl`	Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. Brain Connect. Shruti Agarwal, Haris I. Sair, Raag D. Airan, Jun Hua, Craig K. Jones, Hye-Young Heo, Alessandro Olivi, Martin A. Lindquist, James J. Pekar, Jay J. Pillai
2015	J	`jnl`	Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. NeuroImage Amanda F. Mejia, Mary Beth Nebel, Haochang Shou, Ciprian M. Crainiceanu, James J. Pekar, Stewart H. Mostofsky, Brian Caffo, Martin A. Lindquist
2015	J	`jnl`	fslr: Connecting the FSL Software with R. R J. John Muschelli, Elizabeth M. Sweeney, Martin A. Lindquist, Ciprian M. Crainiceanu
2014	J	`jnl`	A hierarchical model for simultaneous detection and estimation in multi-subject fMRI studies. NeuroImage David Degras, Martin A. Lindquist
2014	J	`jnl`	Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach. NeuroImage Martin A. Lindquist, Yuting Xu, Mary Beth Nebel, Brian S. Caffo
2014	J	`jnl`	Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. NeuroImage Haochang Shou, Ani Eloyan, Mary Beth Nebel, Amanda F. Mejia, James J. Pekar, Stewart H. Mostofsky, Brian S. Caffo, Martin A. Lindquist, Ciprian M. Crainiceanu
2013	J	`jnl`	Cloak and DAG: A response to the comments on our comment. NeuroImage Martin A. Lindquist, Michael E. Sobel
2013	J	`jnl`	Detecting functional connectivity change points for single-subject fMRI data. Frontiers Comput. Neurosci. Ivor Cribben, Tor D. Wager, Martin A. Lindquist
2013	J	`jnl`	Ironing out the statistical wrinkles in "ten ironic rules". NeuroImage Martin A. Lindquist, Brian C. Caffo, Ciprian M. Crainiceanu
2012	J	`jnl`	Dynamic connectivity regression: Determining state-related changes in brain connectivity. NeuroImage Ivor Cribben, Ragnheidur Haraldsdottir, Lauren Y. Atlas, Tor D. Wager, Martin A. Lindquist
2012	J	`jnl`	Estimating and testing variance components in a multi-level GLM. NeuroImage Martin A. Lindquist, Julie Spicer, Iris Asllani, Tor D. Wager
2011	J	`jnl`	Graphical models, potential outcomes and causal inference: Comment on Ramsey, Spirtes and Glymour. NeuroImage Martin A. Lindquist, Michael E. Sobel
2010	J	`jnl`	Change point estimation in multi-subject fMRI studies. NeuroImage Lucy F. Robinson, Tor D. Wager, Martin A. Lindquist
2010	J	`jnl`	The benefits of rapid 3D fMRI. Int. J. Imaging Syst. Technol. Martin A. Lindquist
2009	J	`jnl`	Brain mediators of cardiovascular responses to social threat, Part II: Prefrontal-subcortical pathways and relationship with anxiety. NeuroImage Tor D. Wager, Vanessa A. van Ast, Brent L. Hughes, Matthew L. Davidson, Martin A. Lindquist, Kevin N. Ochsner
2009	J	`jnl`	Brain mediators of cardiovascular responses to social threat: Part I: Reciprocal dorsal and ventral sub-regions of the medial prefrontal cortex and heart-rate reactivity. NeuroImage Tor D. Wager, Christian E. Waugh, Martin A. Lindquist, Douglas C. Noll, Barbara L. Fredrickson, Stephan F. Taylor
2009	J	`jnl`	Evaluating the consistency and specificity of neuroimaging data using meta-analysis. NeuroImage Tor D. Wager, Martin A. Lindquist, Thomas E. Nichols, Hedy Kober, Jared X. Van Snellenberg
2009	J	`jnl`	Modeling the hemodynamic response function in fMRI: Efficiency, bias and mis-modeling. NeuroImage Martin A. Lindquist, Ji Meng Loh, Lauren Y. Atlas, Tor D. Wager
2008	J	`jnl`	Detection of time-varying signals in event-related fMRI designs. NeuroImage Jack Grinband, Tor D. Wager, Martin A. Lindquist, Vincent P. Ferrera, Joy Hirsch
2007	J	`jnl`	Modeling state-related fMRI activity using change-point theory. NeuroImage Martin A. Lindquist, Christian E. Waugh, Tor D. Wager
2006	J	`jnl`	A generalization of the two-dimensional prolate spheroidal wave function method for nonrectilinear MRI data acquisition methods. IEEE Trans. Image Process. Martin A. Lindquist, Cun-Hui Zhang, Gary Glover, Larry Shepp, Qing X. Yang
2003	J	`jnl`	Optimal data acquisition in fMRI using prolate spheroidal wave functions. Int. J. Imaging Syst. Technol. Martin A. Lindquist