Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig

Brain injuries and ensuing neurological abnormalities due to chronic hypoxia are among the most frequent causes and difficult to detect reliably. Prevention strategies require novel accurate methods. We showed that electrocorticogram's mutual information properties (ECoG) contain information about corticothalamic communication, which can be quantified without invasive insertion of the thalamic electrodes.Here we present the method and the data set to derive ECoG/EEG biomarkers of corticothalamic communication under normal, sedation and hypoxic/ischemic conditions.We hypothesize that the proposed biomarkers of corticothalamic communication derived from EEG alone will signal increased risk for or an imminent brain injury from short periods of data (less than 10 min).We present signal-analytical approaches to derive a signature of coupling between the ECoG and electrothalamogram (EThG) signals that were recorded under conditions of gradual ischemia in juvenile pigs.We hope this data set will contribute to development of new brain monitoring technologies to improve prevention of neurological injuries.All experiments have been approved by the responsible animal ethics committee.

慢性缺氧引发的脑损伤及后续神经功能异常，是最为常见的致病因素之一，且难以实现可靠检测。此类病症的防控策略亟需新颖且精准的检测方法。本研究证实，脑皮层电图（electrocorticogram, ECoG）的互信息属性中蕴含了皮层-丘脑通信相关的信息，且无需侵入式植入丘脑电极即可完成量化分析。本研究在此公开了一套方法与数据集，可用于在正常状态、镇静状态以及缺氧/缺血状态下，提取皮层-丘脑通信相关的脑皮层电图（ECoG）/脑电图（electroencephalogram, EEG）生物标志物。本研究提出假设：仅基于脑电图（EEG）提取的皮层-丘脑通信生物标志物，可通过短时长（不足10分钟）的数据信号，提示脑损伤风险升高或即将发生脑损伤。本研究还提供了信号分析方法，用于提取幼年猪在渐进性缺血状态下记录的脑皮层电图（ECoG）与丘脑电图（electrothalamogram, EThG）信号间的耦合特征。本数据集旨在助力新型脑监测技术的研发，以提升神经损伤的防控水平。本研究所有实验均已通过相关动物伦理委员会的审批。