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Update to the dataset of cerebral ischemia in juvenile pigs with evoked potentials
We expand from a spontaneous to an evoked potentials (EP) data set of brain electrical activities as electrocorticogram (ECoG) and electrothalamogram (EThG) in juvenile pig under various sedation, ischemia and recovery states. This EP data set includes three stimulation paradigms: auditory (AEP, 40...
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Published in: | Scientific data 2021-09, Vol.8 (1), p.248-248, Article 248 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We expand from a spontaneous to an evoked potentials (EP) data set of brain electrical activities as electrocorticogram (ECoG) and electrothalamogram (EThG) in juvenile pig under various sedation, ischemia and recovery states. This EP data set includes three stimulation paradigms: auditory (AEP, 40 and 2000 Hz), sensory (SEP, left and right maxillary nerve) and high-frequency oscillations (HFO) SEP. This permits derivation of electroencephalogram (EEG) biomarkers of corticothalamic communication under these conditions. The data set is presented in full band sampled at 2000 Hz. We provide technical validation of the evoked responses for the states of sedation, ischemia and recovery. This extended data set now permits mutual inferences between spontaneous and evoked activities across the recorded modalities. 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)
Abnormal auditory evoked potentials • Abnormality of somatosensory evoked potentials • high frequency oscillations • brain activity
Technology Type(s)
Electrocorticography • electrothalamography
Factor Type(s)
anesthesia • analgosedation • sedation • cerebral ischemia
Sample Characteristic - Organism
Sus scrofa
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.16462875 |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-021-01029-z |