■慢性疼痛水平的波动是由复杂的认知相互作用决定的,情感和感知变量。我们引入了一个由可穿戴神经技术和智能手机应用程序组成的疼痛跟踪平台,用于测量和预测慢性疼痛水平及其与其他体验维度的相互作用。
■我们的方法措施,动态和在家,疼痛强度,用在线工具和低密度脑电图收集的现象和神经时间序列。在这里,我们使用了一位在家中执行注意力任务20天的参与者的数据,以研究对慢性疼痛中不同身体系统的注意力的作用。
■我们展示了情绪和疼痛强度之间的关系,同时将注意力分配给心跳,呼吸,受影响的或未受影响的肢体。我们发现,当参与者专注于呼吸或心跳时,疼痛最大。这些结果提供了有关慢性疼痛中注意力对感觉信号的作用的有趣见解。我们发现了三角洲的能量变化,theta,α和β(但不在γ)带之间的四个注意条件。然而,这些变化与疼痛强度评分无可靠关联.与其他肢体相比,将注意力集中在未受影响的肢体上时,Theta功率更高。Further,疼痛评分,当照顾未受影响的肢体时,与α和θ功率带变化有关。
■总的来说,我们证明,我们的神经生理学和经验跟踪平台可以捕捉身体注意力分配如何改变主观测量的动态及其神经相关。这种研究方法是开发个性化临床评估工具和行为测试平台的概念证明,主观和生物标志物表征。
UNASSIGNED: Fluctuations of chronic pain levels are determined by a complex interplay of cognitive, emotional and perceptual variables. We introduce a pain tracking platform composed of wearable neurotechnology and a smartphone application to measure and predict chronic pain levels and its interplay with other dimensions of experience.
UNASSIGNED: Our method measures, dynamically and at home, pain strength, phenomenal and neural time series collected with an online tool and low-density EEG. Here we used data from a single participant who performed an attention task at home for a period of 20 days to investigate the role of attention to different bodily systems in chronic pain.
UNASSIGNED: We show a relationship between emotions and pain strength while allocating attention to the heartbeat, the breathing, the affected or the unaffected limb. We found that pain was maximal when attending to the affected limb and decreased when the participant focused on his breathing or his heartbeat. These results provide interesting insights regarding the role of attention to interoceptive signals in chronic pain. We found
power changes in the delta, theta, alpha and beta (but not in the gamma) band between the four attention conditions. However, there was no reliable association of these changes to pain intensity ratings. Theta
power was higher when attention was directed to the unaffected limb compared to the others. Further, the pain ratings, when attending to unaffected limb, were associated with alpha and theta
power band changes.
UNASSIGNED: Overall, we demonstrate that our neurophysiology and experience tracking platform can capture how body attention allocation alters the dynamics of subjective measures and its neural correlates. This research approach is proof of concept for the development of personalized clinical assessment tools and a testbed for behavioural, subjective and biomarkers characterization.