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Detecting Awareness in the Vegetative State: Electroencephalographic Evidence for Attempted Movements to Command

Overview of attention for article published in PLOS ONE, November 2012
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Title
Detecting Awareness in the Vegetative State: Electroencephalographic Evidence for Attempted Movements to Command
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049933
Pubmed ID
Authors

Damian Cruse, Srivas Chennu, Davinia Fernández-Espejo, William L. Payne, G. Bryan Young, Adrian M. Owen

Abstract

Patients in the Vegetative State (VS) do not produce overt motor behavior to command and are therefore considered to be unaware of themselves and of their environments. However, we recently showed that high-density electroencephalography (EEG) can be used to detect covert command-following in some VS patients. Due to its portability and inexpensiveness, EEG assessments of awareness have the potential to contribute to a standard clinical protocol, thus improving diagnostic accuracy. However, this technique requires refinement and optimization if it is to be used widely as a clinical tool. We asked a patient who had been repeatedly diagnosed as VS for 12-years to try to move his left and right hands, between periods of rest, while EEG was recorded from four scalp electrodes. We identified appropriate and statistically reliable modulations of sensorimotor beta rhythms following commands to try to move, which could be significantly classified at a single-trial level. These reliable effects indicate that the patient attempted to follow the commands, and was therefore aware, but was unable to execute an overtly discernable action. The cognitive demands of this novel task are lower than those used previously and, crucially, allow for awareness to be determined on the basis of a 20-minute EEG recording made with only four electrodes. This approach makes EEG assessments of awareness clinically viable, and therefore has potential for inclusion in a standard assessment of awareness in the VS.

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Geographical breakdown

Country Count As %
France 2 1%
Poland 2 1%
United Kingdom 1 <1%
Hungary 1 <1%
Mexico 1 <1%
Canada 1 <1%
Unknown 147 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 19%
Student > Ph. D. Student 27 17%
Student > Master 25 16%
Student > Bachelor 21 14%
Professor > Associate Professor 11 7%
Other 22 14%
Unknown 20 13%
Readers by discipline Count As %
Psychology 36 23%
Neuroscience 24 15%
Medicine and Dentistry 22 14%
Agricultural and Biological Sciences 14 9%
Engineering 7 5%
Other 17 11%
Unknown 35 23%