Non-Sushi Science (Publications)
Not all of my science efforts are sushi-based; I also contribute to research on the mechanisms of chronic pain. Here is some of the work I've been a part of so far!
Finan, P.H., Whitton, A.E., Letzen, J.E., Remeniuk, B., Robinson, M.L., Irwin, M.R., Pizzagalli, D.A., & Smith, M.T. (in press). Experimental sleep disruption and reward learning: Moderating role of positive affect responses. Sleep.
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Teixeira da Silva, J., Letzen, J.E., Haythornthwaite, J.A., Finan, P.H., Campbell, C.M., & Seminowicz, D.A. (in press). Do pain and comorbidities affect brain function in sickle cell patients? A systematic review of neuroimaging and treatment approaches. PAIN.
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Letzen, J.E., Boissoneault, J., Sevel, L., & Robinson, M.E. (in press). Altered mesocorticolimbic functional connectivity in chronic low back pain patients at rest and following sad mood induction. Brain Imaging and Behavior.
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Letzen, J.E., Lanzkron, S., Bond, K., Carroll, P.C., Haythornthwaite, J.A., Nance, S., & Campbell, C.M. (accepted). Preliminary evidence that hydroxyurea is associated with attenuated peripheral sensitization in adults with sickle cell disease. PAIN Reports, 4(2), e724.
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Letzen, J. E., Seminowicz, D. A., Campbell, C. M., & Finan, P. H. (2018). Exploring the potential role of mesocorticolimbic circuitry in motivation for and adherence to chronic pain self-management interventions. Neuroscience & Biobehavioral Reviews, 98:10-17.
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Sevel, L. S., Boissoneault, J., Letzen, J. E., Robinson, M. E., & Staud, R. (2018). Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients. Experimental brain research, 1-9.
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Boissoneault, J., Letzen, J., & Robinson, M. (2018). Treating patients rather than their functional neuroimages. Response to: Disambiguating pharmacological mechanisms from placebo in neuropathic pain using functional neuroimaging (Br J Anaesth 2018; 120: 299–307). British Journal of Anaesthesia.
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Boissoneault, J., Sevel, L., Letzen, J., Robinson, M., & Staud, R. (2017). Biomarkers for musculoskeletal pain conditions: Use of brain imaging and machine learning. Current Rheumatology Reports, 19(1), 5.
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Letzen, J. E., & Robinson, M. E. (2017). Negative mood influences default mode network functional connectivity in patients with chronic low back pain: implications for functional neuroimaging biomarkers. PAIN, 158(1), 48-57.
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Boissoneault, J., Letzen, J., Lai, S., Robinson, M. E., & Staud, R. (2016). Static and dynamic functional connectivity in patients with chronic fatigue syndrome: use of arterial spin labelling fMRI. Clinical Physiology and Functional Imaging.
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Sevel, L.S., Letzen, J.E., Staud, R., & Robinson, M.E. (2016). Interhemispheric dorsolateral prefrontal cortex connectivity is associated with individual differences in pain sensitivity in healthy controls. Brain Connectivity, 6(5), 357-364.
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Robinson, M.E., Boissoneault, J., Sevel, L.S., Letzen, J.E., & Staud, R. (2016). The effect of base rate on the predictive value of brain biomarkers. Journal of Pain, 17(6), 637-641.
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Letzen, J.E., Boissoneault, J., Sevel, L.S., & Robinson, M.E. (2016). Reply to: What reliability can and cannot tell us about pain report and pain neuroimaging. PAIN. 157(7), 1575-1576.
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Boissoneault, J., Letzen, J.E., Lai, S., O’Shea, A., Craggs, J., Robinson, M.E. & Staud, R. (2016). Abnormal resting state functional connectivity in patients with chronic fatigue syndrome: An arterial spin-labeling fMRI study. Magnetic Resonance Imaging, 34(4), 603-608.
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Letzen, J.E., Boissoneault, J., Sevel, L.S., & Robinson, M.E. (2016). Test-retest reliability of pain-related functional brain connectivity compared to pain self-report. PAIN, 157, 546-551.
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Robinson, M.E., O’Shea, A.M., Craggs, J.G., Price, D.D., Letzen, J.E., & Staud, R. (2015). Comparison of machine classification algorithms for fibromyalgia: Neuroimages versus self-report. Journal of Pain, 16(5), 472-477.
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Sevel, L.S., O’Shea, A.M. Letzen, J.E., Craggs, J.G., Price, D.D., & Robinson, M.E. (2015). Effective connectivity predicts future placebo analgesic response: A dynamic causal modeling study of pain processing in healthy controls. NeuroImage, 110, 87-94.
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Wandner, L.D., Letzen, J.E., Torres, C.A., Lok, B., & Robinson, M.E. (2014). Using virtual human technology to provide immediate feedback about participants’ use of demographic cues and knowledge of their cue use. Journal of Pain, 15(11), 1141-7.
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Letzen, J.E., Sevel, L.S., Gay, C.W., O’Shea, A.M., Craggs, J.G., Price, D.D., & Robinson, M.E (2014). Test-retest reliability of pain-related brain activity in healthy controls undergoing experimental thermal pain. Journal of Pain, 15(10), 1008-14.
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Letzen, J.E., Craggs, J.G., Perlstein, W. M., Price, D.D., & Robinson, M.E. (2013). Functional connectivity of the default mode network and its association with pain networks in irritable bowel patients assessed via lidocaine treatment. Journal of Pain, 14(10), 1077-1087.
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Parish-Morris, J. M., Chevallier, C., Tonge, N. Letzen, J., Pandey, J. & Schultz, R. T. (2013). Visual attention to dynamic faces and objects: A combined study of children with autism and controls. Frontiers in Psychology, 4(185), 1-7.
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