St. Mauritius Therapieklinik GmbH, Strümper Str. 111, 40670, Meerbusch, Germany.
Department of Epileptology, University of Bonn Medical Centre, Venusberg Campus 1, 53127, Bonn, Germany.
Sci Rep. 2022 Jul 8;12(1):11586. doi: 10.1038/s41598-022-15803-5.
Recent advances in neurophysiological brain network analysis have demonstrated novel potential for diagnosis and prognosis of disorders of consciousness. While most progress has been achieved on the population-sample level, time-economic and easy-to-apply personalized solutions are missing. This prospective controlled study combined EEG recordings, basal stimulation, and daily behavioral assessment as applied routinely during complex early rehabilitation treatment. We investigated global characteristics of EEG-derived evolving functional brain networks during the repeated (3-6 weeks apart) evaluation of brain dynamics at rest as well as during and after multisensory stimulation in ten patients who were diagnosed with an unresponsive wakefulness syndrome (UWS). The age-corrected average clustering coefficient C* allowed to discriminate between individual patients at first (three patients) and second assessment (all patients). Clinically, only two patients changed from UWS to minimally conscious state. Of note, most patients presented with significant changes of C* due to stimulations, along with treatment, and with an increasing temporal distance to injury. These changes tended towards the levels of nine healthy controls. Our approach allowed to monitor both, short-term effects of individual therapy sessions and possibly long-term recovery. Future studies will need to assess its full potential for disease monitoring and control of individualized treatment decisions.
神经生理脑网络分析的最新进展表明,其在意识障碍的诊断和预后方面具有新的潜力。尽管大多数进展都是在人群样本水平上取得的,但缺乏经济高效且易于应用的个性化解决方案。这项前瞻性对照研究结合了 EEG 记录、基础刺激和日常行为评估,这些都在复杂的早期康复治疗中常规应用。我们研究了 10 名被诊断为无反应性觉醒综合征(UWS)的患者,在重复(间隔 3-6 周)评估休息时大脑动力学以及在多感官刺激期间和之后,EEG 衍生的演化功能脑网络的全局特征。经过年龄校正的平均聚类系数 C可用于在第一次(三名患者)和第二次评估(所有患者)中区分个体患者。临床上,只有两名患者从 UWS 转变为最小意识状态。值得注意的是,大多数患者由于刺激、治疗以及与损伤的时间间隔增加而导致 C显著变化。这些变化趋势接近 9 名健康对照者的水平。我们的方法可用于监测个体治疗方案的短期效果和可能的长期恢复。未来的研究将需要评估其在疾病监测和个体化治疗决策控制方面的全部潜力。