Martin A. Lindquist

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 25

Top Topics

Pearson Correlation

Functional Connectivity

Resting State Fmri

Machine Learning

Top Venues

Publications

Pratim Guha Niyogi, Martin A. Lindquist, Tapabrata Maiti
A Tensor Based Varying-Coefficient Model for Multi-Modal Neuroimaging Data Analysis. IEEE Trans. Signal Process. 72 (2024)
Tanmay Nath, Brian Caffo, Tor D. Wager, Martin A. Lindquist
A machine learning based approach towards high-dimensional mediation analysis. NeuroImage 268 (2023)
Hamed Honari, Martin A. Lindquist
Mode decomposition-based time-varying phase synchronization for fMRI Data. CoRR (2022)
Hamed Honari, Martin A. Lindquist
Mode decomposition-based time-varying phase synchronization for fMRI. NeuroImage 261 (2022)
Heather Shappell, Kelly A. Duffy, Keri Rosch, James J. Pekar, Stewart H. Mostofsky, Martin A. Lindquist, Jessica R. Cohen
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 229 (2021)
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
Detecting Task-Dependent Functional Connectivity in Group Iterative Multiple Model Estimation with Person-Specific Hemodynamic Response Functions. Brain Connect. 11 (6) (2021)
Hamed Honari, Ann S. Choe, Martin A. Lindquist
Evaluating phase synchronization methods in fMRI: A comparison study and new approaches. NeuroImage 228 (2021)
Guoqing Wang, John Muschelli, Martin A. Lindquist
tests for group-level fMRI analysis. NeuroImage 237 (2021)
Yi Zhao, Martin A. Lindquist, Brian S. Caffo
Sparse principal component based high-dimensional mediation analysis. Comput. Stat. Data Anal. 142 (2020)
Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
Twin Classification in Resting-State Brain Connectivity. ISBI (2020)
Hamed Honari, Ann S. Choe, Martin A. Lindquist
Evaluating phase synchronization methods in fMRI: a comparison study and new approaches. CoRR (2020)
Heather Shappell, Brian S. Caffo, James J. Pekar, Martin A. Lindquist
Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models. NeuroImage 191 (2019)
Hamed Honari, Ann S. Choe, James J. Pekar, Martin A. Lindquist
Investigating the impact of autocorrelation on time-varying connectivity. NeuroImage 197 (2019)
Shih-Gu Huang, Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
Circular Pearson Correlation Using Cosine Series Expansion. ISBI (2019)
Amanda F. Mejia, Mary Beth Nebel, Anita D. Barber, Ann S. Choe, James J. Pekar, Brian S. Caffo, Martin A. Lindquist
Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. NeuroImage 172 (2018)
Victor Solo, Jean-Baptiste Poline, Martin A. Lindquist, Sean L. Simpson, F. DuBois Bowman, Moo K. Chung, Ben Cassidy
Connectivity in fMRI: Blind Spots and Breakthroughs. IEEE Trans. Medical Imaging 37 (7) (2018)
Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk, Moo K. Chung
Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI. CoRR (2018)
Joshua C. Cheng, Rachael L. Bosma, Kasey S. Hemington, Aaron Kucyi, Martin A. Lindquist, Karen D. Davis
Slow-5 dynamic functional connectivity reflects the capacity to sustain cognitive performance during pain. NeuroImage 157 (2017)
Shaojie Chen, Kai Liu, Yuguang Yang, Yuting Xu, Seonjoo Lee, Martin A. Lindquist, Brian S. Caffo, Joshua T. Vogelstein
An M-estimator for reduced-rank system identification. Pattern Recognit. Lett. 86 (2017)
Maria Kudela, Jaroslaw Harezlak, Martin A. Lindquist
Assessing uncertainty in dynamic functional connectivity. NeuroImage 149 (2017)
Anders Eklund, Martin A. Lindquist, Mattias Villani
A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes. NeuroImage 155 (2017)
Maleeha F. Syed, Martin A. Lindquist, Jay J. Pillai, Shruti Agarwal, Sachin K. Gujar, Ann S. Choe, Brian Caffo, Haris I. Sair
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. 7 (10) (2017)
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
Group-regularized individual prediction: theory and application to pain. NeuroImage 145 (2017)
Ann S. Choe, Mary Beth Nebel, Anita D. Barber, Jessica R. Cohen, Yuting Xu, James J. Pekar, Brian Caffo, Martin A. Lindquist
Comparing test-retest reliability of dynamic functional connectivity methods. NeuroImage 158 (2017)
Shruti Agarwal, Haris I. Sair, Raag Airan, Jun Hua, Craig K. Jones, Hye-Young Heo, Alessandro Olivi, Martin A. Lindquist, James J. Pekar, Jay J. Pillai
Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. Brain Connect. 6 (4) (2016)
Amanda F. Mejia, Mary Beth Nebel, Haochang Shou, Ciprian M. Crainiceanu, James J. Pekar, Stewart H. Mostofsky, Brian Caffo, Martin A. Lindquist
Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. NeuroImage 112 (2015)
John Muschelli, Elizabeth M. Sweeney, Martin A. Lindquist, Ciprian M. Crainiceanu
fslr: Connecting the FSL Software with R. R J. 7 (1) (2015)
David Degras, Martin A. Lindquist
A hierarchical model for simultaneous detection and estimation in multi-subject fMRI studies. NeuroImage 98 (2014)
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
Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. NeuroImage 102 (2014)
Martin A. Lindquist, Yuting Xu, Mary Beth Nebel, Brian S. Caffo
Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach. NeuroImage 101 (2014)
Martin A. Lindquist, Michael E. Sobel
Cloak and DAG: A response to the comments on our comment. NeuroImage 76 (2013)
Martin A. Lindquist, Brian C. Caffo, Ciprian M. Crainiceanu
Ironing out the statistical wrinkles in "ten ironic rules". NeuroImage 81 (2013)
Ivor Cribben, Tor D. Wager, Martin A. Lindquist
Detecting functional connectivity change points for single-subject fMRI data. Frontiers Comput. Neurosci. 7 (2013)
Martin A. Lindquist, Julie Spicer, Iris Asllani, Tor D. Wager
Estimating and testing variance components in a multi-level GLM. NeuroImage 59 (1) (2012)
Ivor Cribben, Ragnheidur Haraldsdottir, Lauren Y. Atlas, Tor D. Wager, Martin A. Lindquist
Dynamic connectivity regression: Determining state-related changes in brain connectivity. NeuroImage 61 (4) (2012)
Martin A. Lindquist, Michael E. Sobel
Graphical models, potential outcomes and causal inference: Comment on Ramsey, Spirtes and Glymour. NeuroImage 57 (2) (2011)
Lucy F. Robinson, Tor D. Wager, Martin A. Lindquist
Change point estimation in multi-subject fMRI studies. NeuroImage 49 (2) (2010)
Martin A. Lindquist
The benefits of rapid 3D fMRI. Int. J. Imaging Syst. Technol. 20 (1) (2010)
Tor D. Wager, Martin A. Lindquist, Thomas E. Nichols, Hedy Kober, Jared X. Van Snellenberg
Evaluating the consistency and specificity of neuroimaging data using meta-analysis. NeuroImage 45 (1) (2009)
Tor D. Wager, Vanessa A. van Ast, Brent L. Hughes, Matthew L. Davidson, Martin A. Lindquist, Kevin N. Ochsner
Brain mediators of cardiovascular responses to social threat, Part II: Prefrontal-subcortical pathways and relationship with anxiety. NeuroImage 47 (3) (2009)
Martin A. Lindquist, Ji Meng Loh, Lauren Y. Atlas, Tor D. Wager
Modeling the hemodynamic response function in fMRI: Efficiency, bias and mis-modeling. NeuroImage 45 (1) (2009)
Tor D. Wager, Christian E. Waugh, Martin A. Lindquist, Douglas C. Noll, Barbara L. Fredrickson, Stephan F. Taylor
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 47 (3) (2009)
Jack Grinband, Tor D. Wager, Martin A. Lindquist, Vincent P. Ferrera, Joy Hirsch
Detection of time-varying signals in event-related fMRI designs. NeuroImage 43 (3) (2008)
Martin A. Lindquist, Christian E. Waugh, Tor D. Wager
Modeling state-related fMRI activity using change-point theory. NeuroImage 35 (3) (2007)
Martin A. Lindquist, Cun-Hui Zhang, Gary Glover, Larry Shepp, Qing X. Yang
A generalization of the two-dimensional prolate spheroidal wave function method for nonrectilinear MRI data acquisition methods. IEEE Trans. Image Process. 15 (9) (2006)
Martin A. Lindquist
Optimal data acquisition in fMRI using prolate spheroidal wave functions. Int. J. Imaging Syst. Technol. 13 (2) (2003)