Joo Pangyu, Kim Minkyung, Kish Brianna, Nair Vidhya Vijayakrishnan, Tong Yunjie, Harte Steven E, Harris Richard E, Lee UnCheol, Wang Ying
medRxiv. 2023 Oct 9:2023.10.08.23296715. doi: 10.1101/2023.10.08.23296715.
Sickle cell disease (SCD) is a genetic disorder causing blood vessel blockages and painful Vaso-occlusive crises (VOCs). VOCs, characterized by severe pain due to blocked blood flow, are recurrent and unpredictable, posing challenges for preventive strategies. In this study we propose explosive synchronization (ES), a phenomenon characterized by abrupt brain network phase transitions, as a novel approach to address this challenge. We hypothesized that the accumulated disruptions in the brain network induced by SCD might lead to strengthened ES and hypersensitivity. We explored ES's relationship with patient reported outcome measures (PROMs) and VOCs by analyzing EEG data from 25 SCD patients and 18 matched controls. SCD patients exhibited significantly lower alpha wave frequency than controls. SCD patients under painful pressure stimulation showed correlation between frequency disassortativity (FDA), an ES condition, and three important PROMs. Furthermore, patients who had a higher frequency of VOCs in the preceding 12 months presented with stronger FDA. The timing of VOC occurrence relative to EEG recordings was significantly associated to FDA. We also conducted computational modeling on SCD brain network to study FDA's role in network sensitivity. Stronger FDA correlated with higher responsivity and complexity in our model. Simulation under noisy environment showed that higher FDA could be linked to increased occurrence frequency of crisis. This study establishes connections between SCD pain and the universal network mechanism, ES, offering a strong theoretical foundation. This understanding will aid predicting VOCs and refining pain management for SCD patients.
镰状细胞病(SCD)是一种遗传性疾病,会导致血管阻塞和疼痛性血管闭塞危象(VOCs)。VOCs的特征是由于血流受阻而引起严重疼痛,具有复发性和不可预测性,这给预防策略带来了挑战。在本研究中,我们提出了爆发性同步(ES),这是一种以大脑网络相位突然转变为特征的现象,作为应对这一挑战的新方法。我们假设SCD引起的大脑网络累积破坏可能导致ES增强和超敏反应。我们通过分析25名SCD患者和18名匹配对照的脑电图数据,探索了ES与患者报告结局指标(PROMs)和VOCs之间的关系。SCD患者的α波频率显著低于对照组。在疼痛压力刺激下,SCD患者的频率非关联性(FDA,一种ES状态)与三个重要的PROMs之间存在相关性。此外,在过去12个月中VOCs发作频率较高的患者表现出更强的FDA。VOC发作时间相对于脑电图记录与FDA显著相关。我们还对SCD大脑网络进行了计算建模,以研究FDA在网络敏感性中的作用。在我们的模型中,更强的FDA与更高的反应性和复杂性相关。在噪声环境下的模拟表明,更高的FDA可能与危机发生频率增加有关。本研究建立了SCD疼痛与通用网络机制ES之间的联系,提供了坚实的理论基础。这种认识将有助于预测VOCs并优化SCD患者的疼痛管理。