Neurocognitive Mechanisms Underlying Attention Bias Towards Pain: Evidence From a Drift-Diffusion Model and Event-Related Potentials

Zhang，Yinhua1; Ye，Qian1; He，Hao1; Jin，Richu2,3; Peng，Weiwei1

2023

10.1016/j.jpain.2023.03.003

Journal of Pain   影响因子和分区

1526-5900

1528-8447

Although combining computational modeling with event-related potentials (ERPs) can precisely characterize neurocognitive processes involved in attention bias, it has yet to be applied in the context of pain. Here, a hierarchical drift-diffusion model (DDM) along with ERPs was used to characterize the neurocognitive mechanisms underlying attention bias towards pain. A spatial cueing paradigm was adopted, in which the locations of targets were either validly or invalidly predicted by spatial cues related to pain or nonpain signals. DDM-derived nondecision time was shorter for targets validly cued by pain signals than by nonpain signals, thus indicating speeded attention engagement towards pain; drift rate was slower for targets invalidly cued by pain signals than by nonpain signals, reflecting slower attention disengagement from pain. The facilitated engagement towards pain was partially mediated by the enhanced lateralization of cue-evoked N1 amplitudes, which relate to the bottom-up, stimulus-driven processes of detecting threatening signals. On the other hand, the retarded disengagement from pain was partially mediated by the enhanced target-evoked anterior N2 amplitudes, which relate to the top-down, goal-driven processes of conflict monitoring and behavior regulating. These results demonstrated that engagement and disengagement components of pain-related attention bias are governed by distinct neurocognitive mechanisms. However, it remains possible that the findings are not pain-specific, but rather, are related to threat or aversiveness in general. This deserves to be further examined by adding a control stimulus modality. Perspective: This study characterized the neurocognitive processes involved in attention bias towards pain through combining a hierarchical DDM and ERPs. Our results revealed distinctive neurocognitive mechanisms underlying engagement and disengagement components of attention bias. Future studies are warranted to examine whether our findings are pain-specific or not.

attention bias drift-diffusion model event-related potentials Pain spatial cueing paradigm

SCI

英语

其他

National Natural Science Foundation of China[32271105];National Natural Science Foundation of China[62101236];Shenzhen Fundamental Research Program[JCYJ20190808154413592];

Neurosciences & Neurology

Clinical Neurology ; Neurosciences

WOS:001032493200001

CHURCHILL LIVINGSTONE

NEUROSCIENCE & BEHAVIOR

2-s2.0-85153487956

Scopus

1.School of Psychology,Shenzhen University,Shenzhen,China
2.Research Institute of Trustworthy Autonomous Systems,Southern University of Science and Technology,Shenzhen,China
3.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,China

Zhang，Yinhua,Ye，Qian,He，Hao,et al. Neurocognitive Mechanisms Underlying Attention Bias Towards Pain: Evidence From a Drift-Diffusion Model and Event-Related Potentials[J]. Journal of Pain,2023,24(7).

Zhang，Yinhua,Ye，Qian,He，Hao,Jin，Richu,&Peng，Weiwei.(2023).Neurocognitive Mechanisms Underlying Attention Bias Towards Pain: Evidence From a Drift-Diffusion Model and Event-Related Potentials.Journal of Pain,24(7).

Zhang，Yinhua,et al."Neurocognitive Mechanisms Underlying Attention Bias Towards Pain: Evidence From a Drift-Diffusion Model and Event-Related Potentials".Journal of Pain 24.7(2023).