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

ABSTRACT: 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 t

SUBMITTER: Frasch MG 

PROVIDER: S-EPMC7791136 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature