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Epidural electrocorticography for monitoring of arousal in locked-in state

Overview of attention for article published in Frontiers in Human Neuroscience, October 2014
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Title
Epidural electrocorticography for monitoring of arousal in locked-in state
Published in
Frontiers in Human Neuroscience, October 2014
DOI 10.3389/fnhum.2014.00861
Pubmed ID
Authors

Suzanne Martens, Michael Bensch, Sebastian Halder, Jeremy Hill, Femke Nijboer, Ander Ramos-Murguialday, Bernhard Schoelkopf, Niels Birbaumer, Alireza Gharabaghi

Abstract

Electroencephalography (EEG) often fails to assess both the level (i.e., arousal) and the content (i.e., awareness) of pathologically altered consciousness in patients without motor responsiveness. This might be related to a decline of awareness, to episodes of low arousal and disturbed sleep patterns, and/or to distorting and attenuating effects of the skull and intermediate tissue on the recorded brain signals. Novel approaches are required to overcome these limitations. We introduced epidural electrocorticography (ECoG) for monitoring of cortical physiology in a late-stage amytrophic lateral sclerosis patient in completely locked-in state (CLIS). Despite long-term application for a period of six months, no implant-related complications occurred. Recordings from the left frontal cortex were sufficient to identify three arousal states. Spectral analysis of the intrinsic oscillatory activity enabled us to extract state-dependent dominant frequencies at <4, ~7 and ~20 Hz, representing sleep-like periods, and phases of low and elevated arousal, respectively. In the absence of other biomarkers, ECoG proved to be a reliable tool for monitoring circadian rhythmicity, i.e., avoiding interference with the patient when he was sleeping and exploiting time windows of responsiveness. Moreover, the effects of interventions addressing the patient's arousal, e.g., amantadine medication, could be evaluated objectively on the basis of physiological markers, even in the absence of behavioral parameters. Epidural ECoG constitutes a feasible trade-off between surgical risk and quality of recorded brain signals to gain information on the patient's present level of arousal. This approach enables us to optimize the timing of interactions and medical interventions, all of which should take place when the patient is in a phase of high arousal. Furthermore, avoiding low-responsiveness periods will facilitate measures to implement alternative communication pathways involving brain-computer interfaces (BCI).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Switzerland 1 2%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 21%
Student > Ph. D. Student 10 15%
Student > Master 9 14%
Student > Doctoral Student 4 6%
Student > Bachelor 4 6%
Other 10 15%
Unknown 15 23%
Readers by discipline Count As %
Neuroscience 9 14%
Agricultural and Biological Sciences 8 12%
Medicine and Dentistry 6 9%
Engineering 6 9%
Psychology 4 6%
Other 11 17%
Unknown 22 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2014.
All research outputs
#18,379,655
of 22,765,347 outputs
Outputs from Frontiers in Human Neuroscience
#6,058
of 7,139 outputs
Outputs of similar age
#185,723
of 259,775 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#208
of 242 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 259,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.