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Research Output 2001 2020

2020

Sparse principal component based high-dimensional mediation analysis

Zhao, Y., Lindquist, M. & Caffo, B. S., Feb 1 2020, In : Computational Statistics and Data Analysis. 142, 106835.

Research output: Contribution to journalArticle

Mediation
Mediator
Principal Components
Principal component analysis
High-dimensional
2019

A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis

Mejia, A. F., Yue, Y. R., Bolin, D., Lindgren, F. & Lindquist, M., Jan 1 2019, In : Journal of the American Statistical Association.

Research output: Contribution to journalArticle

Functional Magnetic Resonance Imaging
Data analysis
Spatial Model
Bayesian Model
Modeling

Circular pearson correlation using cosine series expansion

Huang, S. G., Gritsenko, A., Lindquist, M. A. & Chung, M. K., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1774-1777 4 p. 8759319. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Magnetic Resonance Imaging
Anchors
Brain
Chemical activation

Differential Poststroke Motor Recovery in an Arm Versus Hand Muscle in the Absence of Motor Evoked Potentials

Schambra, H. M., Xu, J., Branscheidt, M., Lindquist, M., Uddin, J., Steiner, L., Hertler, B., Kim, N., Berard, J., Harran, M. D., Cortes, J. C., Kitago, T., Luft, A., Krakauer, J. & Celnik, P. A., Jan 1 2019, In : Neurorehabilitation and neural repair.

Research output: Contribution to journalArticle

Motor Evoked Potentials
Arm
Hand
Upper Extremity
Pyramidal Tracts

Emerging shifts in neuroimaging data analysis in the era of “big data”

Bzdok, D., Schulz, M. A. & Lindquist, M., Jan 1 2019, Personalized Psychiatry: Big Data Analytics in Mental Health. Springer International Publishing, 1 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Neuroimaging
Imaging techniques
Brain
Positron emission tomography
Costs and Cost Analysis

Fatigue induces long-lasting detrimental changes in motor-skill learning

Branscheidt, M., Kassavetis, P., Anaya, M., Rogers, D., Huang, H. D., Lindquist, M. & Celnik, P. A., Mar 5 2019, In : eLife. 8

Research output: Contribution to journalArticle

Open Access
Motor Skills
Fatigue
Learning
Fatigue of materials
Physical Exertion

Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models

Shappell, H., Caffo, B. S., Pekar, J. J. & Lindquist, M., May 1 2019, In : NeuroImage. 191, p. 243-257 15 p.

Research output: Contribution to journalArticle

Magnetic Resonance Imaging
Brain
Connectome
Brain Diseases
Anxiety

Investigating the impact of autocorrelation on time-varying connectivity

Honari, H., Choe, A., Pekar, J. J. & Lindquist, M., Aug 15 2019, In : NeuroImage. 197, p. 37-48 12 p.

Research output: Contribution to journalArticle

Brain
Noise
Magnetic Resonance Imaging

Modular preprocessing pipelines can reintroduce artifacts into fMRI data

Lindquist, M., Geuter, S., Wager, T. D. & Caffo, B. S., Jan 1 2019, (Accepted/In press) In : Human Brain Mapping.

Research output: Contribution to journalArticle

Artifacts
Magnetic Resonance Imaging
Head
Datasets

Pain-related nucleus accumbens function: modulation by reward and sleep disruption

Seminowicz, D. A., Remeniuk, B., Krimmel, S. R., Smith, M. T., Barrett, F., Wulff, A. B., Furman, A. J., Geuter, S., Lindquist, M., Irwin, M. R. & Finan, P. H., May 1 2019, In : Pain. 160, 5, p. 1196-1207 12 p.

Research output: Contribution to journalArticle

Nucleus Accumbens
Reward
Sleep
Pain
Music

Rethinking interhemispheric imbalance as a target for stroke neurorehabilitation

the SMARTS Study Group, Jan 1 2019, In : Annals of neurology.

Research output: Contribution to journalArticle

Stroke
Patient Identification Systems
Individuation
Inhibition (Psychology)
Neurological Rehabilitation

The Pain of Sleep Loss: A Brain Characterization in Humans

Krause, A. J., Prather, A. A., Wager, T. D., Lindquist, M. & Walker, M. P., Mar 20 2019, In : The Journal of neuroscience : the official journal of the Society for Neuroscience. 39, 12, p. 2291-2300 10 p.

Research output: Contribution to journalArticle

Sleep
Pain
Brain
Sleep Deprivation
Somatosensory Cortex
2018

Connectivity in fMRI: Blind Spots and Breakthroughs

Solo, V., Poline, J. B., Lindquist, M., Simpson, S. L., Bowman, F. D. B., Chung, M. K. & Cassidy, B., Apr 27 2018, (Accepted/In press) In : IEEE Transactions on Medical Imaging.

Research output: Contribution to journalArticle

Optic Disk
Brain
Magnetic Resonance Imaging
Electric network analysis
Autocorrelation

Exposure-based therapy changes amygdala and hippocampus resting-state functional connectivity in patients with posttraumatic stress disorder

Zhu, X., Suarez-Jimenez, B., Lazarov, A., Helpman, L., Papini, S., Lowell, A., Durosky, A., Lindquist, M., Markowitz, J. C., Schneier, F., Wager, T. D. & Neria, Y., Jan 1 2018, (Accepted/In press) In : Depression and Anxiety.

Research output: Contribution to journalArticle

Implosive Therapy
Post-Traumatic Stress Disorders
Amygdala
Hippocampus
Wounds and Injuries

High-dimensional multivariate mediation with application to neuroimaging data

Chén, O. Y., Crainiceanu, C. M., Ogburn, E. L., Caffo, B. S., Wager, T. D. & Lindquist, M., Apr 1 2018, In : Biostatistics. 19, 2, p. 121-136 16 p.

Research output: Contribution to journalArticle

Neuroimaging
Mediation
Mediator
High-dimensional
Structural Equation Model

Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage

Mejia, A. F., Nebel, M. B., Barber, A. D., Choe, A., Pekar, J. J., Caffo, B. S. & Lindquist, M., May 15 2018, In : NeuroImage. 172, p. 478-491 14 p.

Research output: Contribution to journalArticle

Bayes Theorem
Connectome
Research Design
Magnetic Resonance Imaging

Multivariate machine learning distinguishes cross-network dynamic functional connectivity patterns in state and trait neuropathic pain

Cheng, J. C., Rogachov, A., Hemington, K. S., Kucyi, A., Bosma, R. L., Lindquist, M., Inman, R. D. & Davis, K. D., Sep 1 2018, In : Pain. 159, 9, p. 1764-1776 13 p.

Research output: Contribution to journalArticle

Neuralgia
Pain
Chronic Pain
Executive Function
Brain
2017

A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes

Eklund, A., Lindquist, M. & Villani, M., Jul 15 2017, In : NeuroImage. 155, p. 354-369 16 p.

Research output: Contribution to journalArticle

Magnetic Resonance Imaging
Noise
Markov Chains
Head
Linear Models

Altered cortical brain activity in end stage liver disease assessed by multi-channel near-infrared spectroscopy: Associations with delirium

Yoshimura, A., Goodson, C., Johns, J. T., Towe, M. M., Irvine, E. S., Rendradjaja, N. A., Max, L. K., Laflam, A., Ledford, E. C., Probert, J., Tieges, Z., Edwin, D. H., MacLullich, A. M. J., Hogue, C. W., Lindquist, M., Gurakar, A., Neufeld, K. J. & Kamiya, A., Dec 1 2017, In : Scientific Reports. 7, 1, 9258.

Research output: Contribution to journalArticle

End Stage Liver Disease
Near-Infrared Spectroscopy
Delirium
Hemoglobins
Brain

An M-estimator for reduced-rank system identification

Chen, S., Liu, K., Yang, Y., Xu, Y., Lee, S., Lindquist, M., Caffo, B. S. & Vogelstein, J. T., Jan 15 2017, In : Pattern Recognition Letters. 86, p. 76-81 6 p.

Research output: Contribution to journalArticle

Time series
Identification (control systems)
Linear algebra
Parameter estimation
Magnetic Resonance Imaging

Assessing uncertainty in dynamic functional connectivity

Kudela, M., Harezlak, J. & Lindquist, M., Apr 1 2017, In : NeuroImage. 149, p. 165-177 13 p.

Research output: Contribution to journalArticle

Uncertainty
Magnetic Resonance Imaging
Noise
Research Personnel
Brain

Big Data and Neuroimaging

Webb-Vargas, Y., Chen, S., Fisher, A., Mejia, A., Xu, Y., Crainiceanu, C. M., Caffo, B. S. & Lindquist, M., May 22 2017, (Accepted/In press) In : Statistics in Biosciences. p. 1-16 16 p.

Research output: Contribution to journalArticle

Neuroimaging
Data analysis
Big data
Cover
Demonstrate

Building better biomarkers: Brain models in translational neuroimaging

Woo, C. W., Chang, L. J., Lindquist, M. & Wager, T. D., Feb 23 2017, In : Nature Neuroscience. 20, 3, p. 365-377 13 p.

Research output: Contribution to journalReview article

Neuroimaging
Biomarkers
Brain
Public Health Practice
Mental Processes

Comparing test-retest reliability of dynamic functional connectivity methods

Choe, A., Nebel, M. B., Barber, A. D., Cohen, J. R., Xu, Y., Pekar, J. J., Caffo, B. S. & Lindquist, M., Sep 1 2017, In : NeuroImage. 158, p. 155-175 21 p.

Research output: Contribution to journalArticle

Reproducibility of Results
Brain
Magnetic Resonance Imaging
Connectome
Signal-To-Noise Ratio

Dynamic Functional Connectivity States Reflecting Psychotic-like Experiences

Barber, A. D., Lindquist, M., DeRosse, P. & Karlsgodt, K. H., 2017, (Accepted/In press) In : Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.

Research output: Contribution to journalArticle

Executive Function
Connectome
Psychotic Disorders
Self Report
Cluster Analysis

Effect size estimation in neuroimaging

Reddan, M. C., Lindquist, M. & Wager, T. D., Mar 1 2017, In : JAMA Psychiatry. 74, 3, p. 207-208 2 p.

Research output: Contribution to journalComment/debate

Neuroimaging

Parallel group independent component analysis for massive fMRI data sets

Chen, S., Huang, L., Qiu, H., Nebel, M. B., Mostofsky, S. H., Pekar, J. J., Lindquist, M., Eloyan, A. & Caffo, B. S., Mar 1 2017, In : PLoS One. 12, 3, e0173496.

Research output: Contribution to journalArticle

Independent component analysis
Magnetic Resonance Imaging
computer techniques
Functional Neuroimaging
Functional neuroimaging

PCA leverage: Outlier detection for high-dimensional functional magnetic resonance imaging data

Mejia, A. F., Nebel, M. B., Eloyan, A., Caffo, B. S. & Lindquist, M., Jul 1 2017, In : Biostatistics. 18, 3, p. 521-536 16 p.

Research output: Contribution to journalArticle

Magnetic Resonance Image
Functional Magnetic Resonance Imaging
Outlier Detection
Leverage
Principal Component Analysis
Brain Mapping
Brain Neoplasms
Magnetic Resonance Imaging
Noise

Quantifying cerebral contributions to pain beyond nociception

Woo, C. W., Schmidt, L., Krishnan, A., Jepma, M., Roy, M., Lindquist, M., Atlas, L. Y. & Wager, T. D., Feb 14 2017, In : Nature Communications. 8, 14211.

Research output: Contribution to journalArticle

Nociception
pain
Pain
Learning systems
Brain

Slow-5 dynamic functional connectivity reflects the capacity to sustain cognitive performance during pain

Cheng, J. C., Bosma, R. L., Hemington, K. S., Kucyi, A., Lindquist, M. & Davis, K. D., Aug 15 2017, In : NeuroImage. 157, p. 61-68 8 p.

Research output: Contribution to journalArticle

Gyrus Cinguli
Pain
Task Performance and Analysis
Prefrontal Cortex
Communication

Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data

Huang, L., Reiss, P. T., Xiao, L., Zipunnikov, V., Lindquist, M. & Crainiceanu, C. M., Apr 1 2017, In : Biostatistics. 18, 2, p. 214-229 16 p.

Research output: Contribution to journalArticle

Functional Magnetic Resonance Imaging
Principal Component Analysis
Magnetic Resonance Imaging
Brain
Neuroimaging
2016

Altered resting state functional connectivity of fear and reward circuitry in comorbid PTSD and major depression

Zhu, X., Helpman, L., Papini, S., Schneier, F., Markowitz, J. C., Van Meter, P. E., Lindquist, M., Wager, T. D. & Neria, Y., 2016, (Accepted/In press) In : Depression and Anxiety.

Research output: Contribution to journalArticle

Post-Traumatic Stress Disorders
Reward
Fear
Depression
Major Depressive Disorder

Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field

Agarwal, S., Sair, H., Airan, R., Hua, J., Jones, C., Heo, H. Y., Olivi, A., Lindquist, M., Pekar, J. J. & Pillai, J., May 1 2016, In : Brain Connectivity. 6, 4, p. 267-272 6 p.

Research output: Contribution to journalArticle

Brain Neoplasms
Magnetic Resonance Imaging
Oxygen
Linear Models
Neoplasms

From CT to fMRI: Larry Shepp's Impact on Medical Imaging

Lindquist, M., Jun 1 2016, In : Annual Review of Statistics and Its Application. 3, p. 1-19 19 p.

Research output: Contribution to journalReview article

Positron Emission Tomography
Functional Magnetic Resonance Imaging
Medical Imaging
Computed Tomography
Statistics

Fundamentals of functional neuroimaging

Geuter, S., Lindquist, M. & Wager, T. D., Jan 1 2016, Handbook of Psychophysiology, Fourth Edition. Cambridge University Press, p. 41-73 33 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Functional Neuroimaging
Neuroimaging
Neurosciences
Psychophysiology
Brain

Generalizability of neuroimaging studies in 5 common psychiatric disorders based on the national epidemiologic survey on alcohol and related conditions (NESARC)

Blanco, C., Wall, M. M., Lindquist, M., Rodruez-Ferndez, J. M., Franco, S., Wang, S. & Olfson, M., Dec 1 2016, In : Journal of Clinical Psychiatry. 77, 12, p. e1618-e1625

Research output: Contribution to journalArticle

Neuroimaging
Psychiatry
Alcohols
Tobacco Use Disorder
Major Depressive Disorder

Group-regularized individual prediction: Theory and application to pain

Lindquist, M., Krishnan, A., López-Solà, M., Jepma, M., Woo, C. W., Koban, L., Roy, M., Atlas, L. Y., Schmidt, L., Chang, L. J., Reynolds Losin, E. A., Eisenbarth, H., Ashar, Y. K., Delk, E. & Wager, T. D., 2016, (Accepted/In press) In : NeuroImage.

Research output: Contribution to journalArticle

Multivariate Analysis
Pain
Biomarkers
Nervous System
Population

Imaging network level language recovery after left PCA stroke

Sebastian, R., Long, C., Purcell, J. J., Faria, A. V., Lindquist, M., Jarso, S., Race, D., Davis, C., Posner, J., Wright, A. & Hillis-Trupe, A., Aug 13 2016, In : Restorative Neurology and Neuroscience. 34, 4, p. 473-489 17 p.

Research output: Contribution to journalArticle

Posterior Cerebral Artery Infarction
Language
Aphasia
Stroke
Magnetic Resonance Imaging

Neural changes in extinction recall following prolonged exposure treatment for PTSD: A longitudinal fMRI study

Helpman, L., Marin, M. F., Papini, S., Zhu, X., Sullivan, G. M., Schneier, F., Neria, M., Shvil, E., Malaga Aragon, M. J., Markowitz, J. C., Lindquist, M., Wager, T., Milad, M. & Neria, Y., 2016, In : NeuroImage: Clinical. 12, p. 715-723 9 p.

Research output: Contribution to journalArticle

Post-Traumatic Stress Disorders
Magnetic Resonance Imaging
Therapeutics
Gyrus Cinguli
Skin

Presurgical brain mapping of the language network in patients with brain tumors using resting-state fMRI: Comparison with task fMRI

Sair, H., Yahyavi-Firouz-Abadi, N., Calhoun, V. D., Airan, R. D., Agarwal, S., Intrapiromkul, J., Choe, A., Gujar, S. K., Caffo, B. S., Lindquist, M. & Pillai, J., Mar 1 2016, In : Human Brain Mapping. 37, 3, p. 913-923 11 p.

Research output: Contribution to journalArticle

Brain Mapping
Brain Neoplasms
Language
Magnetic Resonance Imaging
Noise
Transcranial Direct Current Stimulation
Motor Evoked Potentials
Motor Cortex
Cross-Over Studies
Cortical Excitability
2015

An fMRI-based neural signature of decisions to smoke cannabis

Bedi, G., Lindquist, M. & Haney, M., May 12 2015, In : Neuropsychopharmacology. 40, 12, p. 2657-2665 9 p.

Research output: Contribution to journalArticle

Cannabis
Smoke
Magnetic Resonance Imaging
Decision Making
Gyrus Cinguli
Magnetic Resonance Imaging
Normal Distribution
Brain

Explicit knowledge enhances motor vigor and performance: Motivation versus practice in sequence tasks

Wong, A. L., Lindquist, M., Haith, A. & Krakauer, J., Apr 22 2015, In : Journal of Neurophysiology. 114, 1, p. 219-232 14 p.

Research output: Contribution to journalArticle

Motivation
Motor Skills
Practice (Psychology)
Reward
Cognition

Fslr: Connecting the FSL software with R

Muschelli, J., Sweeney, E., Lindquist, M. & Crainiceanu, C. M., 2015, In : R Journal. 7, 1, p. 163-175 13 p.

Research output: Contribution to journalArticle

Software
Neuroimaging
Magnetic Resonance Image
Open Source Software
Magnetic resonance

Functional Magnetic Resonance Imagery, Analysis of

Lindquist, M., Mar 26 2015, International Encyclopedia of the Social & Behavioral Sciences: Second Edition. Elsevier Inc., p. 525-531 7 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

brain
data acquisition
Disease

Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators

Mejia, A. F., Nebel, M. B., Shou, H., Crainiceanu, C. M., Pekar, J. J., Mostofsky, S. H., Caffo, B. S. & Lindquist, M., May 5 2015, In : NeuroImage. 112, p. 14-29 16 p.

Research output: Contribution to journalArticle

Cluster Analysis
Magnetic Resonance Imaging
Brain
Motor Cortex
Signal-To-Noise Ratio

Meta-Analyses in Functional Neuroimaging

Lindquist, M. & Wager, T. D., Feb 14 2015, Acquisition Methods, Methods and Modeling. Elsevier Inc., Vol. 1. p. 661-665 5 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Functional Neuroimaging
Meta-Analysis