Nonlinear Effects of Noxious Thermal Stimulation and Working Memory Demands on Subjective Pain Perception

Sturgeon, John A.; Tieu, Meghan M.; Jastrzab, Laura; McCue, Rebecca; Gandhi, V.; Mackey, Sean

doi:10.1111/pme.12774

Cited by 11 publications

(19 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite the large general effect of task engagement on the attenuation of perceived pain intensity and its moderation by threat value, there remains limitations that we need to consider. First, we did not find an effect of task difficulty or affective content on pain perception as found in previous studies (e.g., [ 3 , 7 , 10 , 12 ]). However, not all studies found that task demand affected pain perception [ 28 – 32 ].…”

Section: Discussionsupporting

confidence: 46%

See 1 more Smart Citation

An incremental dual-task paradigm to investigate pain attenuation by task difficulty, affective content and threat value

et al. 2018

View full text Add to dashboard Cite

There is accumulating evidence that task demands and psychological states can affect perceived pain intensity. Different accounts have been proposed to explain this attenuation based either on how limited attentional resources are allocated to the pain stimulus or on how the threat value of the pain stimulus biases attention. However, the evidence for both proposals remains mixed. Here we introduce an incremental dual-task paradigm in which participants were asked to detect pain on their fingertip without any additional tasks during baseline phases or while concurrently detecting visual targets during task phases. The force applied to participants’ fingertip in all phases increased incrementally until they detected moderate pain. In Experiment 1, we used coloured shapes and in Experiment 2 we used affective images as visual targets. We also manipulated the threat value of the pain stimulus in Experiment 2. For both experiments, we found that a concurrent task attenuated perceived pain intensity: mean force was significantly greater for the same moderate pain during task compared to baseline phases. Furthermore although task difficulty and affective content did not affect pain perception, the threat value of the pain stimulus moderated the magnitude of pain attenuation.

show abstract

Section: Discussionsupporting

confidence: 46%

“…In Experiment 1, we manipulated task difficulty while participants performed a visual working-memory task during the task phase [ 10 , 51 ]. In Experiment 2, we manipulated both affective content and threat value while participants performed a visual-search task during the task phase.…”

Section: Introductionmentioning

confidence: 99%

An incremental dual-task paradigm to investigate pain attenuation by task difficulty, affective content and threat value

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The non-linear relationship between baseline and outcomes may not be surprising given that previous studies reported different non-linear rates of recovery in disability with different baseline NDI scores in individuals with whiplash associated disorders (WAD) 33 . To the authors knowledge, existing prognostic modelling studies in the musculoskeletal literature have only considered linear relationships, which may not accurately reflect for the potential non-linearity of physiological pain processes 34 . The present study found that several local and global neuromuscular indices were predictive of disability, such as balance (Romberg), neck flexor and extensor endurance, "figure of 8" timing, cervical ROM, and cervical proprioceptive acuity.…”

Section: Discussionmentioning

confidence: 99%

Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy: a machine learning approach

Liew

Peolsson

Rügamer

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Prognostic models play an important role in the clinical management of cervical radiculopathy (CR). No study has compared the performance of modern machine learning techniques, against more traditional stepwise regression techniques, when developing prognostic models in individuals with CR. We analysed a prospective cohort dataset of 201 individuals with CR. Four modelling techniques (stepwise regression, least absolute shrinkage and selection operator [LASSO], boosting, and multivariate adaptive regression splines [MuARS]) were each used to form a prognostic model for each of four outcomes obtained at a 12 month follow-up (disability—neck disability index [NDI]), quality of life (EQ5D), present neck pain intensity, and present arm pain intensity). For all four outcomes, the differences in mean performance between all four models were small (difference of NDI < 1 point; EQ5D < 0.1 point; neck and arm pain < 2 points). Given that the predictive accuracy of all four modelling methods were clinically similar, the optimal modelling method may be selected based on the parsimony of predictors. Some of the most parsimonious models were achieved using MuARS, a non-linear technique. Modern machine learning methods may be used to probe relationships along different regions of the predictor space.

show abstract

“…The interactive correlation between pain and attention in pain population has long been highlighted. Behaviorally, while pain interferes with attention, resulting in poorer performance in tasks, attention can modify pain (Bantick et al., 2002; Sturgeon et al., 2015; Valet et al., 2004). Regarding attention, cognitive load is a potential factor.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding attention, cognitive load is a potential factor. Studies using experimental pain models have usually supported higher effects on complex dual‐task performance compared with more simple tasks (Moore, Eccleston, & Keogh, 2017), and that only moderate or high levels of cognitive load suppress subjective pain ratings (Romero, Straube, Nitsch, Miltner, & Weiss, 2013; Sturgeon et al., 2015). In addition, fMRI studies have mostly contributed understanding the neural mechanism.…”

Section: Introductionmentioning

confidence: 99%

Performance of healthy persons under pain in different cognitive load tasks: An event‐related potential study on experimental pain individuals

et al. 2020

View full text Add to dashboard Cite

Objective This study aims to determine how brain activities underlying task with different cognitive load would be modulated by the painful state using electroencephalography. Methods The pain state was established by spraying capsaicin on subjects’ left inner forearm. A total of 20 experimental pain subjects and 20 matched nonpain controls underwent cognitive tasks with electroencephalogram recording. We collected and analyzed behavioral and event‐related potential (ERP) data. Results High cognitive tasks exhibited significantly longer response times and lower accuracies than low‐load tasks. The experimental pain group displayed a significantly lower accuracy than the control group. In addition, the experimental pain group showed no significance between high and low cognitive tasks in early ERP components (amplitude of N1, P2, N2, and early part of late positive potential), whereas the control group exhibited significance between different load tasks. Furthermore, we observed a delay peak energy for delta and theta oscillation in Fz 500–800 ms after the onset for pain persons and high cognitive load tasks. Conclusions Inadequate early attention modulation, along with delayed peak energy for brain oscillation (delta and theta), could be accountable for a worse performance in cognitive tasks in the experimental pain group. Thus, cognitive load is a highly considerable factor. Overall, this study offers more insights into how healthy population works with cognitive tasks under pain neurologically.

show abstract

Nonlinear Effects of Noxious Thermal Stimulation and Working Memory Demands on Subjective Pain Perception

Cited by 11 publications

References 47 publications

An incremental dual-task paradigm to investigate pain attenuation by task difficulty, affective content and threat value

An incremental dual-task paradigm to investigate pain attenuation by task difficulty, affective content and threat value

Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy: a machine learning approach

Performance of healthy persons under pain in different cognitive load tasks: An event‐related potential study on experimental pain individuals

Contact Info

Product

Resources

About