The journal of pain : official journal of the American Pain Society
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Clinicians often ask people with chronic pain about their perceived benefit from interventions designed to improve their pain. The aim of this study is to identify factors that contribute to underestimating or overestimating perceived changes in daily pain intensity over a month of daily assessments. We examined data from individuals with chronic pain who provided at least 28 daily assessments using a pain app as secondary analyses. ⋯ This longitudinal study suggests that those who report greater levels of catastrophizing and anxiety and depression are more likely to underestimate any improvements in their pain over time but seem to engage more with a pain app. Future research will help in our understanding of what magnitude of perceived change in pain ratings is clinically meaningful. PERSPECTIVE: Those who report greater levels of pain, disability, anxiety, depression, and catastrophizing are most prone to underestimate improvements of their pain over time.
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The human brain is a dynamic system that shows frequency-specific features. Neuroimaging studies have shown that both healthy individuals and those with chronic pain disorders experience pain influenced by various processes that fluctuate over time. Primary dysmenorrhea (PDM) is a chronic visceral pain that disrupts the coordinated activity of brain's functional network. ⋯ Our findings provide preliminary evidence that atypical dynamics in the functional network may serve as a potential key feature and biological marker of patients with PDM during the pain-free phase. PERSPECTIVE: We applied energy landscape analysis on brain-imaging data to identify relatively stable and dominant brain activity patterns for patients with PDM. More atypical brain dynamics were found in the slow-4 band and were related to the strength of functional segregation, providing new insights into the dysfunction brain dynamics.
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Contemporary pain models highlight cognitive-processing biases (ie, attention bias [AB], interpretation bias [IB], and memory bias [MB]) as key processes that contribute to poor pain outcomes. However, existing research has yielded inconsistent findings regarding the presence and impact of these biases on pain outcomes. Recognizing the need to explore these biases simultaneously, contemporary pain models suggest that cognitive biases (CBs) are interrelated, and may have a combined impact upon pain problems. ⋯ PERSPECTIVE: The current study provides insight into the associations between pain-related CBs (AB, IB, and MB) using ecologically valid (ambiguous) pain cues. The results indicated an inverse association between pain-related AB and IB, while a positive association was found between AB and MB. CBs did however not predict experimental pain outcomes.
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The attentional bias literature has consistently failed to take context into account. We developed a novel paradigm in immersive virtual reality (VR) with pain stimuli where it would be adaptive or nonadaptive to attend to the stimuli. Participants had to indicate the location of the stimuli. ⋯ It was attentional alignment, but not overall attentional bias, that predicted pain tolerance and threshold. PERSPECTIVE: The study explored attentional processes in pain through a novel paradigm designed in VR. The results found that positive attentional alignment, or the tendency to attend to pain more in adaptive contexts rather than nonadaptive contexts, predicted pain outcomes.
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Numerous, and often largely overlapping, observational pain assessment tools have been developed specifically to assess pain in older adults with dementia under the assumption that a specialized approach is necessary to evaluate pain in this population. However, this assumption has never been tested empirically. As an empirical test of this implicit assumption, our goal was to compare existing tools for people living with dementia (with respect to psychometric properties), not only against each other, but also against a tool developed for a different population with cognitive impairments. ⋯ Given that all tools under study showed satisfactory psychometric properties when tested on persons with dementia, this study suggests that the assumption that different tools are necessary for different populations with cognitive impairments cannot be taken for granted. PERSPECTIVE: This article challenges an implicitly held assumption that specialized tools are needed to assess pain in different populations with cognitive impairments. Given commonalities in pain expression across populations, further research is needed to determine whether population-specific tools are needed.