  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.
