About

Malinda Lindquist is an Associate Professor in the Department of History at the University of Minnesota. The department emphasizes a diverse and interdisciplinary approach to historical research and teaching, drawing upon faculty with varied academic backgrounds and expertise. While specific details about her research focus and contributions are not provided in the page text, her role as an associate professor indicates her involvement in scholarly activities, teaching, and departmental service within the field of history.

Research topics

• Neuroscience
• Psychology
• Biology
• Psychiatry
• Bioinformatics
• Clinical psychology
• Physical therapy
• Medicine
• Cognitive psychology
• Intensive care medicine

Selected publications

• Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures

  Pain · 2023 · 101 citations

  • Medicine
  • Bioinformatics
  • Intensive care medicine

  ABSTRACT: Chronic pain affects more than 50 million Americans. Treatments remain inadequate, in large part, because the pathophysiological mechanisms underlying the development of chronic pain remain poorly understood. Pain biomarkers could potentially identify and measure biological pathways and phenotypical expressions that are altered by pain, provide insight into biological treatment targets, and help identify at-risk patients who might benefit from early intervention. Biomarkers are used to diagnose, track, and treat other diseases, but no validated clinical biomarkers exist yet for chronic pain. To address this problem, the National Institutes of Health Common Fund launched the Acute to Chronic Pain Signatures (A2CPS) program to evaluate candidate biomarkers, develop them into biosignatures, and discover novel biomarkers for chronification of pain after surgery. This article discusses candidate biomarkers identified by A2CPS for evaluation, including genomic, proteomic, metabolomic, lipidomic, neuroimaging, psychophysical, psychological, and behavioral measures. Acute to Chronic Pain Signatures will provide the most comprehensive investigation of biomarkers for the transition to chronic postsurgical pain undertaken to date. Data and analytic resources generatedby A2CPS will be shared with the scientific community in hopes that other investigators will extract valuable insights beyond A2CPS's initial findings. This article will review the identified biomarkers and rationale for including them, the current state of the science on biomarkers of the transition from acute to chronic pain, gaps in the literature, and how A2CPS will address these gaps.

  DOI

• A human colliculus-pulvinar-amygdala pathway encodes negative emotion

  Neuron · 2021 · 82 citations

  • Neuroscience
  • Psychology
  DOI

• 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 · 2021 · 65 citations

  • Psychology
  • Cognitive psychology
  • Neuroscience

  Previous studies in children with attention-deficit/hyperactivity disorder (ADHD) have observed functional brain network disruption on a whole-brain level, as well as on a sub-network level, particularly as related to the default mode network, attention-related networks, and cognitive control-related networks. Given behavioral findings that children with ADHD have more difficulty sustaining attention and more extreme moment-to-moment fluctuations in behavior than typically developing (TD) children, recently developed methods to assess changes in connectivity over shorter time periods (i.e., "dynamic functional connectivity"), may provide unique insight into dysfunctional network organization in ADHD. Thus, we performed a dynamic functional connectivity (FC) analysis on resting state fMRI data from 38 children with ADHD and 79 TD children. We used Hidden semi-Markov models (HSMMs) to estimate six network states, as well as the most probable sequence of states for each participant. We quantified the dwell time, sojourn time, and transition probabilities across states. We found that children with ADHD spent less total time in, and switched more quickly out of, anticorrelated states involving the default mode network and task-relevant networks as compared to TD children. Moreover, children with ADHD spent more time in a hyperconnected state as compared to TD children. These results provide novel evidence that underlying dynamics may drive the differences in static FC patterns that have been observed in ADHD and imply that disrupted FC dynamics may be a mechanism underlying the behavioral symptoms and cognitive deficits commonly observed in children with ADHD.

  DOI

Recent grants

• Individualized spatial topology in functional neuroimaging

  NIH · $4.5M · 2018–2028

• Causal Inference for Neuroimaging

  NIH · $2.3M · 2013–2022

• Collaborative Research: Fast Functional MRI

  NSF · $55k · 2008–2011

Frequent coauthors

• Tor D. Wager

  Dartmouth College

  100 shared

• Brian Caffo

  Johns Hopkins University

  70 shared

• James J. Pekar

  Kennedy Krieger Institute

  45 shared

• Ciprian M. Crainiceanu

  Johns Hopkins University

  41 shared

• Andrew Leroux

  University of Colorado Anschutz Medical Campus

  29 shared

• Mary Beth Nebel

  28 shared

• Erjia Cui

  University of Minnesota

  28 shared

• Ann S. Choe

  Johns Hopkins University

  27 shared

Awards & honors

• Fellowship of Woodrow Wilson Scholars, Princeton University,…
• Dissertation Fellow, Ford Foundation, 2003 - 2004
• NEH Postdoctoral Fellow, Schomburg Center for Research in Bl…

Similar researchers at University of Minnesota

• David Jacobsh-223
• Eamonn Maherh-172
• Robert Kruegerh-132
• Paul Robbinsh-126
• Matt McGueh-125