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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.