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Neuroscience

D-Index
60
Citations
18008
World Ranking
3775
National Ranking
1728

Research.com Recognitions

  • 2016 - Fellow of the American Statistical Association (ASA)

Overview

Martin A. Lindquist is a researcher affiliated with Johns Hopkins University in the United States. Their work spans extensively across the fields of Medicine and Neuroscience, with a particular emphasis on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, Pharmacology, and Physiology.

The primary topics investigated by Lindquist include Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Neural dynamics and brain function, Advanced MRI Techniques and Applications, Musculoskeletal pain and rehabilitation, Pain Management and Placebo Effect, and EEG and Brain-Computer Interfaces.

Lindquist's publication record is marked by contributions in several prominent academic venues. Frequent publication outlets include bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Pain, NeuroImage, and Human Brain Mapping. These platforms reflect a focus on both preprint dissemination and peer-reviewed journals related to pain research and neuroimaging.

Some of the recent papers authored or coauthored by Lindquist are:

  • Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures, 2023, Pain
  • A human colliculus-pulvinar-amygdala pathway encodes negative emotion, 2021, Neuron
  • 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, 2021, NeuroImage
  • Genetic risk shared across 24 chronic pain conditions: identification and characterization with genomic structural equation modeling, 2023, Pain
  • A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination, 2023, Nature Communications

The research network of Martin A. Lindquist includes frequent collaborations with several coauthors, such as Tor D. Wager, Brian Caffo, James J. Pekar, Hamed Honari, and Patrick Sadil. These collaborations suggest a multidisciplinary approach involving varied expertise.

Lindquist's work is recognized through awards such as the Fellow of the American Statistical Association (ASA) in 2016, indicating a standing in statistical methodology relevant to their research domains.

Best Publications

  • Prefrontal-subcortical pathways mediating successful emotion regulation.

    Tor D. Wager;Matthew L. Davidson;Brent L. Hughes;Martin A. Lindquist

  • Fmri-based neurologic signature of physical pain

    Tor Wager;Martin Lindquist

  • Building better biomarkers: brain models in translational neuroimaging

    Choong Wan Woo;Luke J. Chang;Martin A. Lindquist;Tor D. Wager

  • The Statistical Analysis of fMRI Data.

    Martin A. Lindquist

  • Modeling the Hemodynamic Response Function in fMRI: Efficiency, Bias and Mis-modeling

    Martin A. Lindquist;Ji Meng Loh;Lauren Y. Atlas;Tor D. Wager

  • Questions and controversies in the study of time-varying functional connectivity in resting fMRI

    Daniel J. Lurie;Daniel Kessler;Danielle S. Bassett;Richard F. Betzel

  • Meta-analysis of functional neuroimaging data: current and future directions

    Tor D. Wager;Martin Lindquist;Lauren Kaplan

  • Brain mediators of predictive cue effects on perceived pain

    Lauren Y. Atlas;Niall Bolger;Martin A. Lindquist;Tor D. Wager

  • 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.

    Tor D. Wager;Christian E. Waugh;Martin A. Lindquist;Douglas C. Noll

  • Evaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approach.

    Martin A. Lindquist;Yuting Xu;Mary Beth Nebel;Brain S. Caffo

  • Spin-echo fMRI in humans using high spatial resolutions and high magnetic fields.

    Essa Yacoub;Timothy Q. Duong;Pierre-Francois Van de Moortele;Martin Lindquist

  • Separate neural representations for physical pain and social rejection

    Choong Wan Woo;Leonie Koban;Ethan Kross;Martin A. Lindquist

  • Dynamic connectivity regression: determining state-related changes in brain connectivity.

    Ivor Cribben;Ragnheidur Haraldsdottir;Lauren Y. Atlas;Tor D. Wager

  • Detection of time-varying signals in event-related fMRI designs.

    Jack Grinband;Tor D. Wager;Martin A. Lindquist;Vincent P. Ferrera

  • Brain mediators of cardiovascular responses to social threat, Part II: Prefrontal-subcortical pathways and relationship with anxiety

    Tor D. Wager;Vanessa A. van Ast;Brent L. Hughes;Matthew L. Davidson

  • Evaluating the consistency and specificity of neuroimaging data using meta-analysis.

    Tor D. Wager;Martin A. Lindquist;Thomas E. Nichols;Thomas E. Nichols;Hedy Kober

  • Quantifying cerebral contributions to pain beyond nociception.

    Choong Wan Woo;Liane Schmidt;Anjali Krishnan;Marieke Jepma

  • Modular preprocessing pipelines can reintroduce artifacts into fMRI data

    Martin A. Lindquist;Stephan Geuter;Stephan Geuter;Tor D. Wager;Brian S. Caffo

  • Everything You Never Wanted to Know about Circular Analysis, but Were Afraid to Ask

    Nikolaus Kriegeskorte;Martin A Lindquist;Thomas E Nichols;Thomas E Nichols;Thomas E Nichols;Russell A Poldrack

  • Comparing test-retest reliability of dynamic functional connectivity methods

    Ann S. Choe;Mary Beth Nebel;Anita D. Barber;Jessica R. Cohen

  • Validity and Power in Hemodynamic Response Modeling: A Comparison Study and a New Approach

    Martin A. Lindquist;Tor D. Wager

Frequent Co-Authors

Tor D. Wager
Tor D. Wager Dartmouth College
James J. Pekar
James J. Pekar Kennedy Krieger Institute
Stewart H. Mostofsky
Stewart H. Mostofsky Johns Hopkins University School of Medicine
Wesley K. Thompson
Wesley K. Thompson University of California, San Diego
Pablo Celnik
Pablo Celnik Johns Hopkins University
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Gary H. Glover
Gary H. Glover Stanford University
Yuval Neria
Yuval Neria Columbia University
Vince D. Calhoun
Vince D. Calhoun Georgia State University
John C. Markowitz
John C. Markowitz Columbia University

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