| Year |
Citation |
Score |
| 2023 |
Smith BB, Zhao Y, Lindquist MA, Caffo B. Regression models for partially localized fMRI connectivity analyses. Frontiers in Neuroimaging. 2: 1178359. PMID 38025311 DOI: 10.3389/fnimg.2023.1178359 |
0.312 |
|
| 2023 |
Wang G, Datta A, Lindquist MA. Improved fMRI-based pain prediction using Bayesian group-wise functional registration. Biostatistics (Oxford, England). PMID 37805937 DOI: 10.1093/biostatistics/kxad026 |
0.342 |
|
| 2023 |
Botvinik-Nezer R, Petre B, Ceko M, Lindquist MA, Friedman NP, Wager TD. Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain. Biorxiv : the Preprint Server For Biology. PMID 37790543 DOI: 10.1101/2023.09.21.558825 |
0.531 |
|
| 2023 |
Bogaerts K, Van Den Houte M, Jongen D, Ly HG, Coppens E, Schruers K, Van Diest I, Jan T, Van Wambeke P, Petre B, Kragel PA, Lindquist MA, Wager TD, Van Oudenhove L, Van den Bergh O. Brain mediators of negative affect-induced physical symptom reporting in patients with functional somatic syndromes. Translational Psychiatry. 13: 285. PMID 37604880 DOI: 10.1038/s41398-023-02567-3 |
0.455 |
|
| 2023 |
Sluka KA, Wager TD, Sutherland SP, Labosky PA, Balach T, Bayman EO, Berardi G, Brummett CM, Burns J, Buvanendran A, Caffo B, Calhoun VD, Clauw D, Chang A, Coffey CS, ... ... Lindquist MA, et al. Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures. Pain. PMID 37326643 DOI: 10.1097/j.pain.0000000000002938 |
0.486 |
|
| 2023 |
Kim J, Andrews-Hanna JR, Eisenbarth H, Lux BK, Kim HJ, Lee E, Lindquist MA, Losin EAR, Wager TD, Woo CW. A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination. Nature Communications. 14: 3540. PMID 37321986 DOI: 10.1038/s41467-023-39142-9 |
0.48 |
|
| 2023 |
Zorina-Lichtenwalter K, Bango CI, Van Oudenhove L, Čeko M, Lindquist MA, Grotzinger AD, Keller MC, Friedman NP, Wager TD. Genetic risk shared across 24 chronic pain conditions: identification and characterization with genomic structural equation modeling. Pain. PMID 37219871 DOI: 10.1097/j.pain.0000000000002922 |
0.487 |
|
| 2022 |
Wang G, Datta A, Lindquist MA. BAYESIAN FUNCTIONAL REGISTRATION OF FMRI ACTIVATION MAPS. The Annals of Applied Statistics. 16: 1676-1699. PMID 37396344 DOI: 10.1214/21-aoas1562 |
0.317 |
|
| 2022 |
Nath T, Caffo B, Wager T, Lindquist MA. A machine learning based approach towards high-dimensional mediation analysis. Neuroimage. 268: 119843. PMID 36586543 DOI: 10.1016/j.neuroimage.2022.119843 |
0.538 |
|
| 2022 |
Zhu X, Suarez-Jimenez B, Lazarov A, Such S, Marohasy C, Small SS, Wager TD, Lindquist MA, Lissek S, Neria Y. Sequential fear generalization and network connectivity in trauma exposed humans with and without psychopathology. Communications Biology. 5: 1275. PMID 36414703 DOI: 10.1038/s42003-022-04228-5 |
0.446 |
|
| 2022 |
Berardi G, Frey-Law L, Sluka KA, Bayman EO, Coffey CS, Ecklund D, Vance CGT, Dailey DL, Burns J, Buvanendran A, McCarthy RJ, Jacobs J, Zhou XJ, Wixson R, Balach T, ... ... Lindquist M, et al. Multi-Site Observational Study to Assess Biomarkers for Susceptibility or Resilience to Chronic Pain: The Acute to Chronic Pain Signatures (A2CPS) Study Protocol. Frontiers in Medicine. 9: 849214. PMID 35547202 DOI: 10.3389/fmed.2022.849214 |
0.494 |
|
| 2021 |
Kragel PA, Čeko M, Theriault J, Chen D, Satpute AB, Wald LW, Lindquist MA, Feldman Barrett L, Wager TD. A human colliculus-pulvinar-amygdala pathway encodes negative emotion. Neuron. PMID 34166604 DOI: 10.1016/j.neuron.2021.06.001 |
0.491 |
|
| 2020 |
Sobel ME, Lindquist MA. Estimating causal effects in studies of human brain function: New models, methods and estimands The Annals of Applied Statistics. 14: 452-472. PMID 33912268 DOI: 10.1214/19-Aoas1316 |
0.341 |
|
| 2020 |
Mejia AF, Yue YR, Bolin D, Lindgren F, Lindquist MA. A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis. Journal of the American Statistical Association. 115: 501-520. PMID 33060871 DOI: 10.1080/01621459.2019.1611582 |
0.366 |
|
| 2020 |
Zhao Y, Lindquist MA, Caffo BS. Sparse Principal Component based High-Dimensional Mediation Analysis. Computational Statistics & Data Analysis. 142. PMID 32863492 DOI: 10.1016/J.Csda.2019.106835 |
0.322 |
|
| 2020 |
Lindquist M. Neuroimaging results altered by varying analysis pipelines Nature. 582: 36-37. PMID 32433631 DOI: 10.1038/D41586-020-01282-Z |
0.312 |
|
| 2020 |
Geuter S, Reynolds Losin EA, Roy M, Atlas LY, Schmidt L, Krishnan A, Koban L, Wager TD, Lindquist MA. Multiple Brain Networks Mediating Stimulus-Pain Relationships in Humans. Cerebral Cortex (New York, N.Y. : 1991). PMID 32219311 DOI: 10.1093/Cercor/Bhaa048 |
0.776 |
|
| 2019 |
Ma W, Xiao L, Liu B, Lindquist MA. A functional mixed model for scalar on function regression with application to a functional MRI study. Biostatistics (Oxford, England). PMID 31631222 DOI: 10.1093/Biostatistics/Kxz046 |
0.413 |
|
| 2019 |
van der Miesen MM, Lindquist MA, Wager TD. Neuroimaging-based biomarkers for pain: state of the field and current directions. Pain Reports. 4: e751. PMID 31579847 DOI: 10.1097/PR9.0000000000000751 |
0.541 |
|
| 2019 |
Honari H, Choe AS, Pekar JJ, Lindquist MA. Investigating the impact of autocorrelation on time-varying connectivity. Neuroimage. PMID 31022568 DOI: 10.1016/J.Neuroimage.2019.04.042 |
0.361 |
|
| 2019 |
Shappell H, Caffo BS, Pekar JJ, Lindquist MA. Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models. Neuroimage. PMID 30753927 DOI: 10.1016/J.Neuroimage.2019.02.013 |
0.391 |
|
| 2019 |
Seminowicz DA, Remeniuk B, Krimmel SR, Smith MT, Barrett FS, Wulff AB, Furman AJ, Geuter S, Lindquist MA, Irwin MR, Finan PH. Pain-Related Nucleus Accumbens Function: Modulation by Reward and Sleep Disruption. Pain. PMID 30753171 DOI: 10.1097/J.Pain.0000000000001498 |
0.726 |
|
| 2019 |
Krause AJ, Prather AA, Wager TD, Lindquist MA, Walker MP. The pain of sleep loss: A brain characterization in humans. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 30692228 DOI: 10.1523/Jneurosci.2408-18.2018 |
0.54 |
|
| 2019 |
Lindquist MA, Geuter S, Wager TD, Caffo BS. Modular preprocessing pipelines can reintroduce artifacts into fMRI data. Human Brain Mapping. PMID 30666750 DOI: 10.1002/Hbm.24528 |
0.74 |
|
| 2018 |
Zhu X, Suarez-Jimenez B, Lazarov A, Helpman L, Papini S, Lowell A, Durosky A, Lindquist MA, Markowitz JC, Schneier F, Wager TD, Neria Y. Exposure-based therapy changes amygdala and hippocampus resting-state functional connectivity in patients with posttraumatic stress disorder. Depression and Anxiety. PMID 30260530 DOI: 10.1002/Da.22816 |
0.504 |
|
| 2018 |
Solo V, Poline JB, Lindquist MA, Simpson SL, Bowman FD, Chung MK, Cassidy B. Connectivity in fMRI: Blind Spots and Breakthroughs. Ieee Transactions On Medical Imaging. 37: 1537-1550. PMID 29969406 DOI: 10.1109/Tmi.2018.2831261 |
0.353 |
|
| 2018 |
Cheng JC, Rogachov A, Hemington KS, Kucyi A, Bosma RL, Lindquist MA, Inman RD, Davis KD. Multivariate machine learning distinguishes cross-network dynamic functional connectivity patterns in state and trait neuropathic pain. Pain. PMID 29708944 DOI: 10.1097/J.Pain.0000000000001264 |
0.383 |
|
| 2018 |
Mejia AF, Nebel MB, Barber AD, Choe AS, Pekar JJ, Caffo BS, Lindquist MA. Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. Neuroimage. PMID 29391241 DOI: 10.1016/J.Neuroimage.2018.01.029 |
0.32 |
|
| 2017 |
Chen S, Liu K, Yang Y, Xu Y, Lee S, Lindquist M, Caffo BS, Vogelstein JT. An M-estimator for reduced-rank system identification. Pattern Recognition Letters. 86: 76-81. PMID 29391659 DOI: 10.1016/J.Patrec.2016.12.012 |
0.332 |
|
| 2017 |
Webb-Vargas Y, Chen S, Fisher A, Mejia A, Xu Y, Crainiceanu C, Caffo B, Lindquist MA. Big Data and Neuroimaging. Statistics in Biosciences. 9: 543-558. PMID 29335670 DOI: 10.1007/S12561-017-9195-Y |
0.303 |
|
| 2017 |
Syed MF, Lindquist M, Pillai JJ, Agarwal S, Gujar SK, Choe AS, Caffo BS, Sair HI. Dynamic functional connectivity states between the dorsal and ventral sensorimotor networks revealed by Dynamic Conditional Correlation analysis of resting state functional MRI. Brain Connectivity. PMID 28969437 DOI: 10.1089/Brain.2017.0533 |
0.357 |
|
| 2017 |
Yoshimura A, Goodson C, Johns JT, Towe MM, Irvine ES, Rendradjaja NA, Max LK, LaFlam A, Ledford EC, Probert J, Tieges Z, Edwin DH, MacLullich AMJ, Hogue CW, Lindquist MA, et al. Altered cortical brain activity in end stage liver disease assessed by multi-channel near-infrared spectroscopy: Associations with delirium. Scientific Reports. 7: 9258. PMID 28835678 DOI: 10.1038/S41598-017-10024-7 |
0.313 |
|
| 2017 |
Choe AS, Nebel MB, Barber AD, Cohen JR, Xu Y, Pekar JJ, Caffo B, Lindquist MA. Comparing test-retest reliability of dynamic functional connectivity methods. Neuroimage. PMID 28687517 DOI: 10.1016/J.Neuroimage.2017.07.005 |
0.365 |
|
| 2017 |
Chén OY, Crainiceanu C, Ogburn EL, Caffo BS, Wager TD, Lindquist MA. High-dimensional multivariate mediation with application to neuroimaging data. Biostatistics (Oxford, England). PMID 28637279 DOI: 10.1093/Biostatistics/Kxx027 |
0.572 |
|
| 2017 |
Cheng JC, Bosma RL, Hemington KS, Kucyi A, Lindquist MA, Davis KD. Slow-5 dynamic functional connectivity reflects the capacity to sustain cognitive performance during pain. Neuroimage. PMID 28583880 DOI: 10.1016/J.Neuroimage.2017.06.005 |
0.391 |
|
| 2017 |
Eklund A, Lindquist MA, Villani M. A Bayesian Heteroscedastic GLM with Application to fMRI Data with Motion Spikes. Neuroimage. PMID 28473287 DOI: 10.1016/J.Neuroimage.2017.04.069 |
0.341 |
|
| 2017 |
Yahyavi-Firouz-Abadi N, Pillai JJ, Lindquist MA, Calhoun VD, Agarwal S, Airan RD, Caffo B, Gujar B, Sair HI. Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI. Ajnr. American Journal of Neuroradiology. PMID 28364005 DOI: 10.3174/Ajnr.A5132 |
0.348 |
|
| 2017 |
Mejia AF, Nebel MB, Eloyan A, Caffo B, Lindquist MA. PCA leverage: outlier detection for high-dimensional functional magnetic resonance imaging data. Biostatistics (Oxford, England). PMID 28334131 DOI: 10.1093/Biostatistics/Kxw050 |
0.389 |
|
| 2017 |
Chen S, Huang L, Qiu H, Nebel MB, Mostofsky SH, Pekar JJ, Lindquist MA, Eloyan A, Caffo BS. Parallel group independent component analysis for massive fMRI data sets. Plos One. 12: e0173496. PMID 28278208 DOI: 10.1371/Journal.Pone.0173496 |
0.328 |
|
| 2017 |
Woo CW, Chang LJ, Lindquist MA, Wager TD. Building better biomarkers: brain models in translational neuroimaging. Nature Neuroscience. 20: 365-377. PMID 28230847 DOI: 10.1038/Nn.4478 |
0.531 |
|
| 2017 |
Woo CW, Schmidt L, Krishnan A, Jepma M, Roy M, Lindquist MA, Atlas LY, Wager TD. Quantifying cerebral contributions to pain beyond nociception. Nature Communications. 8: 14211. PMID 28195170 DOI: 10.1038/Ncomms14211 |
0.581 |
|
| 2017 |
Kudela M, Harezlak J, Lindquist MA. Assessing uncertainty in dynamic functional connectivity. Neuroimage. PMID 28132931 DOI: 10.1016/J.Neuroimage.2017.01.056 |
0.365 |
|
| 2017 |
Reddan MC, Lindquist MA, Wager TD. Effect Size Estimation in Neuroimaging. Jama Psychiatry. PMID 28099973 DOI: 10.1001/Jamapsychiatry.2016.3356 |
0.463 |
|
| 2017 |
Ammann C, Lindquist M, Celnik P. P169 Does anodal transcranial direct current stimulation elicit consistent effects? Clinical Neurophysiology. 128: e100. DOI: 10.1016/J.Clinph.2016.10.290 |
0.305 |
|
| 2017 |
Zhu X, Suarez-Jimenez B, Helpman L, Markowitz J, Papini S, Durosky A, Hilburn A, Schneier F, Lindquist M, Wager T, Neria Y. 237. PTSD Exposure-Based Treatment Changes Amygdala and Hippocampus Resting State Functional Connectivity in PTSD Biological Psychiatry. 81: S97-S98. DOI: 10.1016/J.Biopsych.2017.02.251 |
0.495 |
|
| 2016 |
Zhu X, Helpman L, Papini S, Schneier F, Markowitz JC, Van Meter PE, Lindquist MA, Wager TD, Neria Y. Altered resting state functional connectivity of fear and reward circuitry in comorbid PTSD and major depression. Depression and Anxiety. PMID 28030757 DOI: 10.1002/Da.22594 |
0.49 |
|
| 2016 |
Helpman L, Marin MF, Papini S, Zhu X, Sullivan GM, Schneier F, Neria M, Shvil E, Malaga Aragon MJ, Markowitz JC, Lindquist MA, Wager T, Milad M, Neria Y. Neural changes in extinction recall following prolonged exposure treatment for PTSD: A longitudinal fMRI study. Neuroimage. Clinical. 12: 715-723. PMID 27761402 DOI: 10.1016/J.Nicl.2016.10.007 |
0.5 |
|
| 2016 |
Huang L, Reiss PT, Xiao L, Zipunnikov V, Lindquist MA, Crainiceanu CM. Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data. Biostatistics (Oxford, England). PMID 27578805 DOI: 10.1093/Biostatistics/Kxw040 |
0.407 |
|
| 2016 |
Agarwal S, Sair HI, Airan R, Hua J, Jones CK, Heo HY, Olivi A, Lindquist MA, Pekar JJ, Pillai JJ. Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. Brain Connectivity. PMID 26918887 DOI: 10.1089/Brain.2015.0402 |
0.307 |
|
| 2015 |
Sair HI, Yahyavi-Firouz-Abadi N, Calhoun VD, Airan RD, Agarwal S, Intrapiromkul J, Choe AS, Gujar SK, Caffo B, Lindquist MA, Pillai JJ. Presurgical brain mapping of the language network in patients with brain tumors using resting-state fMRI: Comparison with task fMRI. Human Brain Mapping. PMID 26663615 DOI: 10.1002/Hbm.23075 |
0.341 |
|
| 2015 |
Lindquist MA, Krishnan A, Lopez-Sola M, Jepma M, Woo CW, Koban L, Roy M, Atlas LY, Chang LJ, Losin L, Eisenbarth H, Ashar YK, Delk Z, Wager TD. Group-regularized individual prediction: theory and application to pain. Neuroimage. PMID 26592808 DOI: 10.1016/J.Neuroimage.2015.10.074 |
0.538 |
|
| 2015 |
Choe AS, Jones CK, Joel SE, Muschelli J, Belegu V, Caffo BS, Lindquist MA, van Zijl PC, Pekar JJ. Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 Years. Plos One. 10: e0140134. PMID 26517540 DOI: 10.1371/Journal.Pone.0140134 |
0.332 |
|
| 2015 |
Xu Y, Lindquist MA. Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data. Frontiers in Neuroscience. 9: 285. PMID 26388711 DOI: 10.3389/Fnins.2015.00285 |
0.371 |
|
| 2015 |
Mejia AF, Nebel MB, Shou H, Crainiceanu CM, Pekar JJ, Mostofsky S, Caffo B, Lindquist MA. Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. Neuroimage. 112: 14-29. PMID 25731998 DOI: 10.1016/J.Neuroimage.2015.02.042 |
0.362 |
|
| 2015 |
Hannawi Y, Lindquist MA, Caffo BS, Sair HI, Stevens RD. Resting brain activity in disorders of consciousness: a systematic review and meta-analysis. Neurology. 84: 1272-80. PMID 25713001 DOI: 10.1212/Wnl.0000000000001404 |
0.314 |
|
| 2015 |
Lindquist MA, Wager TD. Meta-Analyses in Functional Neuroimaging Brain Mapping: An Encyclopedic Reference. 1: 661-665. DOI: 10.1016/B978-0-12-397025-1.00348-1 |
0.453 |
|
| 2014 |
Sobel ME, Lindquist MA. Causal Inference for fMRI Time Series Data with Systematic Errors of Measurement in a Balanced On/Off Study of Social Evaluative Threat. Journal of the American Statistical Association. 109: 967-976. PMID 25506108 DOI: 10.1080/01621459.2014.922886 |
0.344 |
|
| 2014 |
Woo CW, Koban L, Kross E, Lindquist MA, Banich MT, Ruzic L, Andrews-Hanna JR, Wager TD. Separate neural representations for physical pain and social rejection. Nature Communications. 5: 5380. PMID 25400102 DOI: 10.1038/Ncomms6380 |
0.581 |
|
| 2014 |
Lindquist MA, Xu Y, Nebel MB, Caffo BS. Evaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approach. Neuroimage. 101: 531-46. PMID 24993894 DOI: 10.1016/J.Neuroimage.2014.06.052 |
0.403 |
|
| 2014 |
Shou H, Eloyan A, Nebel MB, Mejia A, Pekar JJ, Mostofsky S, Caffo B, Lindquist MA, Crainiceanu CM. Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. Neuroimage. 102: 938-44. PMID 24879924 DOI: 10.1016/J.Neuroimage.2014.05.043 |
0.397 |
|
| 2014 |
Atlas LY, Lindquist MA, Bolger N, Wager TD. Brain mediators of the effects of noxious heat on pain. Pain. 155: 1632-48. PMID 24845572 DOI: 10.1016/J.Pain.2014.05.015 |
0.593 |
|
| 2014 |
Degras D, Lindquist MA. A hierarchical model for simultaneous detection and estimation in multi-subject fMRI studies. Neuroimage. 98: 61-72. PMID 24793829 DOI: 10.1016/J.Neuroimage.2014.04.052 |
0.384 |
|
| 2013 |
Cribben I, Wager TD, Lindquist MA. Detecting functional connectivity change points for single-subject fMRI data. Frontiers in Computational Neuroscience. 7: 143. PMID 24198781 DOI: 10.3389/Fncom.2013.00143 |
0.57 |
|
| 2013 |
Shou H, Eloyan A, Lee S, Zipunnikov V, Crainiceanu AN, Nebel MB, Caffo B, Lindquist MA, Crainiceanu CM. Quantifying the reliability of image replication studies: The image intraclass correlation coefficient (I2C2) Cognitive, Affective and Behavioral Neuroscience. 13: 714-724. PMID 24022791 DOI: 10.3758/S13415-013-0196-0 |
0.333 |
|
| 2013 |
Leigh R, Oishi K, Hsu J, Lindquist M, Gottesman RF, Jarso S, Crainiceanu C, Mori S, Hillis AE. Acute lesions that impair affective empathy. Brain : a Journal of Neurology. 136: 2539-49. PMID 23824490 DOI: 10.1093/Brain/Awt177 |
0.313 |
|
| 2013 |
Wager TD, Atlas LY, Lindquist MA, Roy M, Woo CW, Kross E. An fMRI-based neurologic signature of physical pain. The New England Journal of Medicine. 368: 1388-97. PMID 23574118 DOI: 10.1056/Nejmoa1204471 |
0.576 |
|
| 2013 |
Cribben I, Wager TD, Lindquist MA. Detecting state related changes for single-subject fMRI data F1000research. 4. DOI: 10.7490/F1000Research.1093653.1 |
0.508 |
|
| 2012 |
Lindquist MA. Functional Causal Mediation Analysis With an Application to Brain Connectivity. Journal of the American Statistical Association. 107: 1297-1309. PMID 25076802 DOI: 10.1080/01621459.2012.695640 |
0.434 |
|
| 2012 |
Atlas LY, Whittington RA, Lindquist MA, Wielgosz J, Sonty N, Wager TD. Dissociable influences of opiates and expectations on pain. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 8053-64. PMID 22674280 DOI: 10.1523/Jneurosci.0383-12.2012 |
0.548 |
|
| 2012 |
Cribben I, Haraldsdottir R, Atlas LY, Wager TD, Lindquist MA. Dynamic connectivity regression: determining state-related changes in brain connectivity. Neuroimage. 61: 907-20. PMID 22484408 DOI: 10.1016/J.Neuroimage.2012.03.070 |
0.572 |
|
| 2012 |
Lindquist MA, Spicer J, Asllani I, Wager TD. Estimating and testing variance components in a multi-level GLM. Neuroimage. 59: 490-501. PMID 21835242 DOI: 10.1016/J.Neuroimage.2011.07.077 |
0.542 |
|
| 2012 |
Yue YR, Lindquist MA, Loh JM. Meta-analysis of functional neuroimaging data using bayesian nonparametric binary regression Annals of Applied Statistics. 6: 697-718. DOI: 10.1214/11-Aoas523 |
0.381 |
|
| 2011 |
Lindquist MA, Sobel ME. Graphical models, potential outcomes and causal inference: comment on Ramsey, Spirtes and Glymour. Neuroimage. 57: 334-6. PMID 20970507 DOI: 10.1016/J.Neuroimage.2010.10.020 |
0.305 |
|
| 2010 |
Atlas LY, Bolger N, Lindquist MA, Wager TD. Brain mediators of predictive cue effects on perceived pain. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 12964-77. PMID 20881115 DOI: 10.1523/Jneurosci.0057-10.2010 |
0.587 |
|
| 2010 |
Kriegeskorte N, Lindquist MA, Nichols TE, Poldrack RA, Vul E. Everything you never wanted to know about circular analysis, but were afraid to ask. Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism. 30: 1551-7. PMID 20571517 DOI: 10.1038/Jcbfm.2010.86 |
0.303 |
|
| 2010 |
Robinson LF, Wager TD, Lindquist MA. Change point estimation in multi-subject fMRI studies. Neuroimage. 49: 1581-92. PMID 19733671 DOI: 10.1016/J.Neuroimage.2009.08.061 |
0.559 |
|
| 2010 |
Loh JM, Lindquist MA. Adaptive spatial smoothing of fMRI images Statistics and Its Interface. 3: 3-13. DOI: 10.4310/Sii.2010.V3.N1.A1 |
0.378 |
|
| 2010 |
Lindquist MA. The benefits of rapid 3D fMRI International Journal of Imaging Systems and Technology. 20: 14-22. DOI: 10.1002/Ima.V20:1 |
0.364 |
|
| 2009 |
Wager TD, Waugh CE, Lindquist M, Noll DC, Fredrickson BL, Taylor SF. 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: 821-35. PMID 19465137 DOI: 10.1016/J.Neuroimage.2009.05.043 |
0.557 |
|
| 2009 |
Wager TD, van Ast VA, Hughes BL, Davidson ML, Lindquist MA, Ochsner KN. Brain mediators of cardiovascular responses to social threat, part II: Prefrontal-subcortical pathways and relationship with anxiety. Neuroimage. 47: 836-51. PMID 19465135 DOI: 10.1016/J.Neuroimage.2009.05.044 |
0.544 |
|
| 2009 |
Lindquist MA, Meng Loh J, Atlas LY, Wager TD. Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling. Neuroimage. 45: S187-98. PMID 19084070 DOI: 10.1016/J.Neuroimage.2008.10.065 |
0.547 |
|
| 2009 |
Wager TD, Lindquist MA, Nichols TE, Kober H, Van Snellenberg JX. Evaluating the consistency and specificity of neuroimaging data using meta-analysis. Neuroimage. 45: S210-21. PMID 19063980 DOI: 10.1016/J.Neuroimage.2008.10.061 |
0.555 |
|
| 2009 |
Lindquist MA, Mckeague IW. Logistic regression with brownian-like predictors Journal of the American Statistical Association. 104: 1575-1585. DOI: 10.1198/Jasa.2009.Tm08496 |
0.355 |
|
| 2009 |
Spicer J, Leotti L, Asllani I, Borogovac A, Lindquist M, Wager T. Using Perfusion fMRI to Identify Brain Mechanisms of Social Evaluative Threat Neuroimage. 47: S193. DOI: 10.1016/S1053-8119(09)72172-X |
0.513 |
|
| 2009 |
Lindquist M, Haraldsdottir R, Atlas L, Wager T. Modeling Brain Pathways using Functional Mediation Analysis Neuroimage. 47: S170. DOI: 10.1016/S1053-8119(09)71827-0 |
0.543 |
|
| 2009 |
Lindquist M, Spicer J, Leotti L, Asllani I, Wager T. Localizing areas with significant inter-individual variation: Testing Variance Components in a Multi-level GLM Neuroimage. 47: S125. DOI: 10.1016/S1053-8119(09)71204-2 |
0.473 |
|
| 2009 |
Robinson L, Wager T, Atlas L, Lindquist M. Spatial Clustering of Response Curves Neuroimage. 47: S102. DOI: 10.1016/S1053-8119(09)70885-7 |
0.449 |
|
| 2009 |
Atlas L, Bolger N, Lindquist M, Wager T. Multiple Brain Pathways Mediate Expectancy Effects on Pain Neuroimage. 47: S84. DOI: 10.1016/S1053-8119(09)70619-6 |
0.568 |
|
| 2008 |
Ottowitz WE, Siedlecki KL, Lindquist MA, Dougherty DD, Fischman AJ, Hall JE. Evaluation of prefrontal-hippocampal effective connectivity following 24 hours of estrogen infusion: an FDG-PET study. Psychoneuroendocrinology. 33: 1419-25. PMID 18977091 DOI: 10.1016/J.Psyneuen.2008.09.013 |
0.307 |
|
| 2008 |
Wager TD, Davidson ML, Hughes BL, Lindquist MA, Ochsner KN. Prefrontal-subcortical pathways mediating successful emotion regulation. Neuron. 59: 1037-50. PMID 18817740 DOI: 10.1016/J.Neuron.2008.09.006 |
0.496 |
|
| 2008 |
Grinband J, Wager TD, Lindquist M, Ferrera VP, Hirsch J. Detection of time-varying signals in event-related fMRI designs. Neuroimage. 43: 509-20. PMID 18775784 DOI: 10.1016/J.Neuroimage.2008.07.065 |
0.541 |
|
| 2008 |
Lindquist MA, Zhang CH, Glover G, Shepp L. Rapid three-dimensional functional magnetic resonance imaging of the initial negative BOLD response. Journal of Magnetic Resonance (San Diego, Calif. : 1997). 191: 100-11. PMID 18207441 DOI: 10.1016/J.Jmr.2007.12.016 |
0.578 |
|
| 2008 |
Lindquist MA, Wager TD. Spatial smoothing in fMRI using prolate spheroidal wave functions. Human Brain Mapping. 29: 1276-87. PMID 17979120 DOI: 10.1002/Hbm.20475 |
0.529 |
|
| 2008 |
Cho Z, Glover G, Lindquist MA, Shepp L, Zhang C. Fast functional magnetic resonance imaging—a new approach towards neuroimaging Statistics and Its Interface. 1: 13-21. DOI: 10.4310/Sii.2008.V1.N1.A2 |
0.555 |
|
| 2008 |
Lindquist MA. The Statistical Analysis of fMRI Data Statistical Science. 23: 439-464. DOI: 10.1214/09-Sts282 |
0.401 |
|
| 2008 |
Loh JM, Lindquist MA, Wager TD. Residual analysis for detecting mis-modeling in fMRI Statistica Sinica. 18: 1421-1448. |
0.426 |
|
| 2007 |
Wager TD, Lindquist M, Kaplan L. Meta-analysis of functional neuroimaging data: current and future directions. Social Cognitive and Affective Neuroscience. 2: 150-8. PMID 18985131 DOI: 10.1093/Scan/Nsm015 |
0.573 |
|
| 2007 |
Lindquist MA, Waugh C, Wager TD. Modeling state-related fMRI activity using change-point theory. Neuroimage. 35: 1125-41. PMID 17360198 DOI: 10.1016/J.Neuroimage.2007.01.004 |
0.592 |
|
| 2007 |
Lindquist MA, Wager TD. Validity and power in hemodynamic response modeling: a comparison study and a new approach. Human Brain Mapping. 28: 764-84. PMID 17094118 DOI: 10.1002/Hbm.20310 |
0.514 |
|
| 2006 |
Lindquist MA, Zhang CH, Glover G, Shepp L, Yang QX. A generalization of the two-dimensional prolate spheroidal wave function method for nonrectilinear MRI data acquisition methods. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 15: 2792-804. PMID 16948323 DOI: 10.1109/Tip.2006.877314 |
0.524 |
|
| 2003 |
Lindquist MA. Optimal data acquisition in fMRI using prolate spheroidal wave functions International Journal of Imaging Systems and Technology. 13: 126-132. DOI: 10.1002/Ima.10051 |
0.375 |
|
| 2002 |
Yang QX, Lindquist MA, Shepp L, Zhang CH, Wang J, Smith MB. Two dimensional prolate spheroidal wave functions for MRI. Journal of Magnetic Resonance (San Diego, Calif. : 1997). 158: 43-51. PMID 12419670 DOI: 10.1016/S1090-7807(02)00058-7 |
0.517 |
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