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Martin A. Lindquist

Johns Hopkins University · US
Area of research
Cognitive Neuroscience · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Functional Brain Connectivity Studies, Advanced MRI Techniques and Applications, Neural dynamics and brain function, and Advanced Neuroimaging Techniques and Applications.
h-index
56
citations
16,741
works
279
NIH funding
primary concept
email

Recent publications

Causal inference on human behaviour
Nature Human Behaviour 2024cited by 42position: middledoi
Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain
Nature Communications 2024cited by 32position: middledoi
ENIGMA-Chronic Pain: a worldwide initiative to identify brain correlates of chronic pain
Pain 2024cited by 24position: middledoi
Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures
Pain 2023cited by 101position: middledoi
Genetic risk shared across 24 chronic pain conditions: identification and characterization with genomic structural equation modeling
Pain 2023cited by 67position: middledoi
A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination
Nature Communications 2023cited by 65position: middledoi
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 2022cited by 17position: middledoi
A human colliculus-pulvinar-amygdala pathway encodes negative emotion
Neuron 2021cited by 83position: middledoi
Questions and controversies in the study of time-varying functional connectivity in resting fMRI
Network Neuroscience 2019cited by 675position: middledoi
Modular preprocessing pipelines can reintroduce artifacts into fMRI data
Human Brain Mapping 2019cited by 239position: firstdoi
The Pain of Sleep Loss: A Brain Characterization in Humans
Journal of Neuroscience 2019cited by 162position: middledoi
Neuroimaging-based biomarkers for pain: state of the field and current directions
PAIN Reports 2019cited by 136position: middledoi
Rethinking interhemispheric imbalance as a target for stroke neurorehabilitation
Annals of Neurology 2019cited by 129position: middledoi
Fatigue induces long-lasting detrimental changes in motor-skill learning
eLife 2019cited by 76position: middledoi
Differential Poststroke Motor Recovery in an Arm Versus Hand Muscle in the Absence of Motor Evoked Potentials
Neurorehabilitation and neural repair 2019cited by 54position: middledoi
On the nature of time-varying functional connectivity in resting fMRI
2018cited by 28position: middledoi
Building better biomarkers: brain models in translational neuroimaging
Nature Neuroscience 2017cited by 1,092position: middledoi
Quantifying cerebral contributions to pain beyond nociception
Nature Communications 2017cited by 231position: middledoi
Comparing test-retest reliability of dynamic functional connectivity methods
NeuroImage 2017cited by 223position: lastdoi
Effect Size Estimation in Neuroimaging
JAMA Psychiatry 2017cited by 134position: middledoi
Dynamic Functional Connectivity States Reflecting Psychotic-like Experiences
Biological Psychiatry Cognitive Neuroscience and Neuroimaging 2017cited by 51position: middledoi
Resting brain activity in disorders of consciousness
Neurology 2015cited by 173position: middledoi
Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 Years
PLoS ONE 2015cited by 121position: middledoi
Group-regularized individual prediction: theory and application to pain
NeuroImage 2015cited by 70position: firstdoi
Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach
NeuroImage 2014cited by 399position: firstdoi
Separate neural representations for physical pain and social rejection
Nature Communications 2014cited by 319position: middledoi
Brain mediators of the effects of noxious heat on pain
Pain 2014cited by 124position: middledoi
An fMRI-Based Neurologic Signature of Physical Pain
New England Journal of Medicine 2013cited by 1,645position: middledoi
Detecting functional connectivity change points for single-subject fMRI data
Frontiers in Computational Neuroscience 2013cited by 129position: lastdoi
Dynamic connectivity regression: Determining state-related changes in brain connectivity
NeuroImage 2012cited by 297position: lastdoi

Grants

Conference on 'Imaging, Communications and Finance: Stochastic Modeling of Real-world Problems'
NSF1129626$12,0002011–2012PIRePORTER
Collaborative Research: Fast Functional MRI
NSF0804198$54,6102008–2011PIRePORTER

Frequent collaborators

Lauren Y. Atlas · New York University6 papers (2012–2017)Choong‐Wan Woo · Institute for Basic Science6 papers (2013–2023)Brian Caffo · Johns Hopkins University4 papers (2015–2019)Pablo Celnik · Shirley Ryan AbilityLab3 papers (2019–2019)Adeel Razi · Canadian Institute for Advanced Research3 papers (2018–2024)Meret Branscheidt · Johns Hopkins Medicine3 papers (2019–2019)Marta Čeko · University of Colorado Boulder3 papers (2021–2024)Jing Xu · University of Georgia2 papers (2019–2019)Lorenzo Pasquini · University of California, San Francisco2 papers (2018–2019)Raphaël Liégeois · University of Geneva2 papers (2018–2019)Heidi M. Schambra · New York University2 papers (2019–2019)Robyn L. Miller · Georgia Institute of Technology2 papers (2018–2019)Andreas R. Luft · University of Zurich2 papers (2019–2019)Marieke Jepma · University of Colorado Boulder2 papers (2015–2017)Diego Vidaurre · Aarhus University2 papers (2018–2019) · 2 papers (2018–2019)Muthuraman Muthuraman · Johannes Gutenberg University Mainz2 papers (2018–2019)Ivor Cribben · Columbia University2 papers (2012–2013)Mary Beth Nebel · Kennedy Krieger Institute2 papers (2014–2017)Daniel Kessler · University of Michigan–Ann Arbor2 papers (2018–2019)