Heart Rate Variability and Sensitivity to Experimentally Induced Pain: A Replication

Tracy, Lincoln M.; Jarczok, Marc N.; Ellis, Robert J.; Bach, Claudia; Hillecke, Thomas K.; Thayer, Julian F.; Koenig, Julian

doi:10.1111/papr.12652

Cited by 7 publications

(9 citation statements)

References 21 publications

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“…Cold pain was elicited using mostly the cold pressor task [ 32 , 39 , 43 , 51 , 52 , 56 , 61 , 67 , 78 , 93 ], but it was also induced using a cold plate [ 13 , 88 ], a thermal aluminum cylinder device [ 83 ], the immersion of a hand [ 41 , 57 , 87 , 94 ] or a foot [ 72 , 73 ] in cold water, facial cooling [ 62 ], thermal stimulation devices [ 60 , 72 , 91 , 98 ], the cold cup test [ 50 ], and holding a plastic bottle with iced water [ 68 , 92 ].…”

Section: Resultsmentioning

confidence: 99%

“…Pain thresholds were assessed by adopting different methods. Regarding heat stimuli, pain thresholds were assessed by increasing the temperature of the device until the subject perceived the stimulus as painful [ 24 , 29 , 45 , 58 , 63 , 65 , 72 , 73 , 74 , 85 , 88 , 91 , 94 , 95 , 96 , 98 ] or considered the temperature estimated as painful at a specific point on a VAS. Then, the results were averaged for the number of trials [ 13 , 47 , 53 , 77 ] with the calculated thresholds being the average temperature (in °C) at which each participant indicated experiencing noticeable pain and moderate pain during each of the three exposures.…”

Section: Resultsmentioning

confidence: 99%

“…Pain tolerance was assessed by considering when the level of heat [ 45 , 58 , 85 , 96 ], cold [ 87 , 94 ], pressure [ 76 , 78 , 81 , 82 ], or visceral pain [ 8 , 76 ] became unbearable for the participant. Another method to assess cold pain tolerance was calculating the total time in seconds that the participant’s hand was completely submerged in the water [ 52 , 67 ].…”

Section: Resultsmentioning

confidence: 99%

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Heart Rate Variability and Pain: A Systematic Review

et al. 2022

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Background and Objective: Heart rate variability (HRV) as an index of the autonomic nervous system appears to be related to reactivity to experimental pain stimuli. HRV could better explain the contributions of sympathetic and parasympathetic activity response to nociceptive stimulation. The aim of this study was to systematically review and synthesize the current evidence on HRV in relation to the experience of pain in experimental tasks. Databases and Data Treatment: Studies indexed in the PubMed, PsycINFO, MEDLINE, WebOfScience, and Scopus databases were reviewed for eligibility. Studies on the autonomic response (i.e., HRV) to experimentally induced pain in healthy adults were included. Different methods of pain induction were considered (e.g., thermal, pressure, and electrical). Data were synthesized considering the association between HRV and both pain induction and subjective measures of pain. Results: Seventy-one studies were included. The results underline significant change in both the sympathetic and parasympathetic autonomic nervous systems during the painful stimulation independent of the pain induction method. The autonomic reaction to pain could be affected by several factors, such as sex, age, body mass index, breathing patterns, the intensity of the stimulation, and the affective state. Moreover, an association between the autonomic nervous system and the subjective experience of pain was found. Higher parasympathetic activity was associated with better self-regulation capacities and, accordingly, a higher pain inhibition capacity. Conclusions: HRV appears to be a helpful marker to evaluate nociceptive response in experimentally induced pain. Future studies are also needed in clinical samples to understand better the interindividual changes of autonomic response due to pain stimuli.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Heart Rate Variability and Pain: A Systematic Review

et al. 2022

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“…However, other studies show no association between baseline SDNN and laboratory pain responses to the subsequent heat pain test (Meeuse et al, 2013) and baseline HF‐HRV and CPT (Appelhans & Luecken, 2008). Furthermore, several investigators have found a link between other measures of HRV, such as low‐frequency HRV (LF‐HRV), and laboratory pain responses, such that the baseline LF‐HRV is inversely associated with pain ratings to the subsequent CPT (Appelhans & Luecken, 2008; Tracy, Jarczok, et al, 2018a), whereas LF‐HRV is positively associated with pain thresholds to the subsequent heat pain test (Tracy, Koenig, et al, 2018b) and CPT (Appelhans & Luecken, 2008). The results on LF‐HRV and laboratory pain responses are somewhat difficult to interpret because there has been an ongoing discussion in the literature regarding what physiological functions LF‐HRV represents (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to clinical research that shows the consistent link between baseline HRV that reflects PNS activity and clinical pain, there is only a limited amount of evidence from experimental studies examining the relationship between baseline HRV and laboratory pain sensitivity in healthy adults, and results from this research are currently mixed. Studies show that baseline HF-HRV is inversely associated with pain ratings to the subsequent cold pressor test (CPT) consisting of immersing the participants' hand into a cold-water bath for several minutes (Tracy, Jarczok, et al, 2018a), and positively associated with pain thresholds to the subsequent heat pain test (Tracy, Koenig, et al, 2018b). However, other studies show no association between baseline SDNN and laboratory pain responses to the subsequent heat pain test (Meeuse et al, 2013) and baseline HF-HRV and CPT (Appelhans & Luecken, 2008).…”

Section: Introductionmentioning

confidence: 99%

Prediction of pain responses to subsequent cold pressor test via baseline heart rate variability in healthy adults

Umeda

Okifuji

2022

European Journal of Pain

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Background: Baseline heart rate variability (HRV) that reflects parasympathetic nervous system (PNS) activity may serve as an objective, physiological index of pain assessment, but more research is warranted to examine the link between HRV and laboratory pain responses. This study examined whether baseline HRV would predict pain responses to subsequent cold pressor test (CPT) in healthy adults.Methods: One hundred twenty-three participants completed resting HRV assessment and CPT consisting of immersing their right hand into a cold-water bath for a maximum of 2 min. Pain threshold and pain rating were assessed during CPT. Completion status of CPT, defined as completing CPT or terminating CPT before 2 min, was recorded as an additional laboratory pain measure. Pearson's correlation analysis was performed to examine the link between HRV and pain responses, whereas regression analysis was performed to test the prediction of pain responses via baseline HRV.Results: HF-HRV log , which reflects PNS activity, was significantly associated with the CPT completion status (r = 0.23, p = 0.01), but not significantly associated with pain threshold (r = 0.17, p = 0.06) or pain rating (r = −0.11, p = 0.24). HF-HRV log was found to be a significant predictor of CPT completion status (B = 0.53, p = 0.013). Conclusions: Baseline HF-HRV log may serve as an objective, physiological index to predict laboratory pain responses, and the completion status of laboratory pain tests, such as CPT, may be used as a laboratory pain measure to capture important individual differences in pain processing.Significance: A better understanding of how psychophysiology relates to human pain is important. We examined the association of baseline heart rate variability (HRV) with pain response to subsequently-administered cold pressor test (CPT) in healthy adults. We found that HF-HRV log , which reflects parasympathetic nervous system activity, predicted the completion status (completion or termination) of CPT. Baseline HF-HRV log may serve as an objective, physiological index of pain and the completion status of CPT may help assess the important individual differences in pain processing.How to cite this article: Umeda, M., & Okifuji, A. (2022). Prediction of pain responses to subsequent cold pressor test via baseline heart rate variability in healthy adults.

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Prediction of pain using electrocardiographic‐derived autonomic measures: A systematic review

Wegeberg,

Sejersgaard‐Jacobsen,

Brock

et al. 2023

European Journal of Pain

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Background and ObjectivePain is a major clinical challenge, and understanding the pathophysiology is critical for optimal management. The autonomic nervous system reacts to pain stimuli, and autonomic dysfunction may predict pain sensation. The most used assessment of autonomic function is based on electrocardiographic measures, and the ability of such measures to predict pain was investigated.Databases and Data TreatmentEnglish articles indexed in PubMed and EMBASE were reviewed for eligibility and included when they reported electrocardiographic‐derived measures’ ability to predict pain response. The quality in prognostic studies (QUIPS) tool was used to assess the quality of the included articles.ResultsThe search revealed 15 publications, five on experimental pain, five on postoperative pain, and five on longitudinal clinical pain changes, investigating a total of 1069 patients. All studies used electrocardiographically derived parameters to predict pain assessed with pain thresholds using quantitative sensory testing or different scales. Across all study modalities, electrocardiographic measures were able to predict pain. Higher parasympathetic activity predicted decreased experimental, postoperative, and long‐term pain in most cases while changes in sympathetic activity did not consistently predict pain.ConclusionsMost studies demonstrated that parasympathetic activity could predict acute and chronic pain intensity. In the clinic, this may be used to identify which patients need more intensive care to prevent, for example postoperative pain and develop personalized chronic pain management.SignificancePain is a debilitating problem, and the ability to predict occurrence and severity would be a useful clinical tool. Basal autonomic tone has been suggested to influence pain perception. This systematic review investigated electrocardiographic‐derived autonomic tone and found that increased parasympathetic tone could predict pain reduction in different types of pain.

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Heart Rate Variability and Sensitivity to Experimentally Induced Pain: A Replication

Cited by 7 publications

References 21 publications

Heart Rate Variability and Pain: A Systematic Review

Heart Rate Variability and Pain: A Systematic Review

Prediction of pain responses to subsequent cold pressor test via baseline heart rate variability in healthy adults

Prediction of pain using electrocardiographic‐derived autonomic measures: A systematic review

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