Multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs

• Published in: Scientific data Vol. 8; no. 1; p. 4
• Main Authors: Frasch, Martin G., Walter, Bernd, Herry, Christophe L., Bauer, Reinhard
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 07.01.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/1647/1453/1448; 631/1647/1453/1450; 631/443/376; 692/617/375/1345; Animals; Blood flow; Blood Pressure; Brain - physiopathology; Brain injury; Brain Ischemia - physiopathology; Cerebral blood flow; Data Descriptor; Datasets; EEG; EKG; Electrocardiography; Electroencephalography; Electrophysiology; Heart Rate; Humanities and Social Sciences; Hypoxia; Ischemia; Metabolic rate; multidisciplinary; Oscillations; Perfusion; Regional Blood Flow; Rhythms; Science; Science (multidisciplinary); Swine; Thalamus
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-020-00781-y

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. Measurement(s) EEG with persistent abnormal rhythmic activity • electrocardiogram • Electrothalamogram • cerebral blood flow measurement • positive regulation of heart rate involved in baroreceptor response to decreased systemic arterial blood pressure • cerebral metabolic rate of oxygen • cerebral perfusion pressure Technology Type(s) electrophysiology assay • extracellular electrophysiology recording assay • fluorescent colormicrospheres • Electrophysiology Factor Type(s) sedation • cerebral ischemia • recovery Sample Characteristic - Organism Sus scrofa Sample Characteristic - Environment laboratory environment Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13251176