文章基本信息

标题：Multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs
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作者：Frasch, Martin G. ; Walter, Bernd ; Herry, Christophe L. 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2021
卷号：8
期号：1
页码：1-12
DOI：10.1038/s41597-020-00781-y
语种：English
出版社：Nature Publishing Group
摘要：Ischemic brain injuries are frequent and difficult to detect reliably or early. We present the multi-modal data set containing cardiovascular (blood pressure, blood flow, electrocardiogram) and brain electrical activities to derive electroencephalogram (EEG) biomarkers of corticothalamic communication under normal, sedation, and hypoxic/ischemic conditions with ensuing recovery. We provide technical validation using EEGLAB. We also delineate the corresponding changes in the electrocardiogram (ECG)-derived heart rate variability (HRV) with the potential for future in-depth analyses of joint EEG-ECG dynamics. We review an open-source methodology to derive signatures of coupling between the ECoG and electrothalamogram (EThG) signals contained in the presented data set to better characterize the dynamics of thalamocortical communication during these clinically relevant states. The data set is presented in full band sampled at 2000 Hz, so the additional potential exists for insights from the full-band EEG and high-frequency oscillations under the bespoke experimental conditions. Future studies on the dataset may contribute to the development of new brain monitoring technologies, which will facilitate the prevention of neurological injuries.