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1. Systems and circuits linking chronic pain and circadian rhythms

   https://doi.org/10.3389/fnins.2021.705173  

   Warfield AE; Prather JF; Todd WD (January 2021, Frontiers in neuroscience)
2. Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset

   Ordun, C. (January 2021, Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track)
3. The association between the problem list and chronic pain management

   https://doi.org/10.1007/s44250-022-00016-4  

   Rylee, Tina L; Copenhaver, David; Drake, Christiana; Joseph, Jill (December 2023, Discover Health Systems)

   Abstract BackgroundRoughly a quarter of the US population suffers from moderate to severe chronic pain for at least six months in any given year. The complexity of managing chronic pain has encouraged providers to use innovative methods to address it. Research has shown that problem lists are potential tools that support the care of patients with diabetes and chronic kidney disease. ObjectivesTo examine the extent to which the inclusion of chronic pain in a problem list is associated with follow-up specialty pain care. MethodsThe association between chronic pain documentation on the problem list and specialty pain care was investigated in this retrospective cohort study using 4531 patient records. ResultsChronic pain documentation in the problem list was associated with higher odds of receiving specialty pain care. The most common diagnosis was chronic pain (69.7%). A migraine diagnosis was associated with decreased odds of receiving specialty care, and chronic pain syndrome was associated with increased odds of receiving specialty care compared with the other chronic pain groups. ConclusionDocumenting chronic pain on the problem list was associated with a higher likelihood of patients receiving specialty pain care. 

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4. Sleep spindles as a diagnostic and therapeutic target for chronic pain

   https://doi.org/10.1177/1744806920902350  

   Caravan, Bassir; Hu, Lizbeth; Veyg, Daniel; Kulkarni, Prathamesh; Zhang, Qiaosheng; Chen, Zhe_S; Wang, Jing (January 2020, Molecular Pain)

   Pain is known to disrupt sleep patterns, and disturbances in sleep can further worsen pain symptoms. Sleep spindles occur during slow wave sleep and have established effects on sensory and affective processing in mammals. A number of chronic neuropsychiatric conditions, meanwhile, are known to alter sleep spindle density. The effect of persistent pain on sleep spindle waves, however, remains unknown, and studies of sleep spindles are challenging due to long period of monitoring and data analysis. Utilizing automated sleep spindle detection algorithms built on deep learning, we can monitor the effect of pain states on sleep spindle activity. In this study, we show that in a chronic pain model in rodents, there is a significant decrease in sleep spindle activity compared to controls. Meanwhile, methods to restore sleep spindles are associated with decreased pain symptoms. These results suggest that sleep spindle density correlates with chronic pain and may be both a potential biomarker for chronic pain and a target for neuromodulation therapy. 

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5. Applying NeuroIS to Chronic Pain: Using Heatmaps to Understand Contextual Factors

   Sankar, Gaayathri; Djamasbi, Soussan; Strong, Diane (February 2025, SIGHCI 2024)