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Human Brain Activity Patterns beyond the Isoelectric Line of Extreme Deep Coma

Overview of attention for article published in PLOS ONE, September 2013
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Title
Human Brain Activity Patterns beyond the Isoelectric Line of Extreme Deep Coma
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0075257
Pubmed ID
Authors

Daniel Kroeger, Bogdan Florea, Florin Amzica

Abstract

The electroencephalogram (EEG) reflects brain electrical activity. A flat (isoelectric) EEG, which is usually recorded during very deep coma, is considered to be a turning point between a living brain and a deceased brain. Therefore the isoelectric EEG constitutes, together with evidence of irreversible structural brain damage, one of the criteria for the assessment of brain death. In this study we use EEG recordings for humans on the one hand, and on the other hand double simultaneous intracellular recordings in the cortex and hippocampus, combined with EEG, in cats. They serve to demonstrate that a novel brain phenomenon is observable in both humans and animals during coma that is deeper than the one reflected by the isoelectric EEG, and that this state is characterized by brain activity generated within the hippocampal formation. This new state was induced either by medication applied to postanoxic coma (in human) or by application of high doses of anesthesia (isoflurane in animals) leading to an EEG activity of quasi-rhythmic sharp waves which henceforth we propose to call ν-complexes (Nu-complexes). Using simultaneous intracellular recordings in vivo in the cortex and hippocampus (especially in the CA3 region) we demonstrate that ν-complexes arise in the hippocampus and are subsequently transmitted to the cortex. The genesis of a hippocampal ν-complex depends upon another hippocampal activity, known as ripple activity, which is not overtly detectable at the cortical level. Based on our observations, we propose a scenario of how self-oscillations in hippocampal neurons can lead to a whole brain phenomenon during coma.

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Geographical breakdown

Country Count As %
United States 2 1%
Germany 1 <1%
Malaysia 1 <1%
Netherlands 1 <1%
France 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Czechia 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 127 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 19%
Researcher 19 14%
Student > Master 15 11%
Professor 11 8%
Student > Bachelor 11 8%
Other 35 25%
Unknown 21 15%
Readers by discipline Count As %
Medicine and Dentistry 30 22%
Neuroscience 28 20%
Agricultural and Biological Sciences 17 12%
Engineering 11 8%
Psychology 8 6%
Other 19 14%
Unknown 25 18%