Andrew And Alexander Fingelkurts
BM-Science - Brain and Mind Technologies Research Centre
Objective: The value of spontaneous EEG oscillations in distinguishing patients in vegetative and minimally conscious states was studied. Methods: We quantified dynamic repertoire of EEG oscillations in resting condition with closed eyes in patients in vegetative and minimally conscious states (VS and MCS). The exact composition of EEG oscillations was assessed by the probability-classification analysis of short-term EEG spectral patterns. Results: The probability of delta, theta and slow-alpha oscillations occurrence was smaller for patients in MCS than for VS. Additionally, only patients in MCS demonstrated fast-alpha oscillation occurrence. Depending on the type and composition of EEG oscillations, the probability of their occurrence was either aetiology dependent or independent. The probability of EEG oscillations occurrence differentiated brain injuries with different aetiologies. Conclusions: Spontaneous EEG oscillations have a potential value in distinguishing patients in VS and MCS. Significance: This work may have implications for clinical care, rehabilitative programs and medical–legal decisions in patients with impaired consciousness states following coma due to acute brain injuries.
Keywords electroencephalogram (EEG)  disorder of consciousness (DOC)  EEG oscillations  vegetative state (VS)  minimally conscious state (MCS)  short-term EEG spectral patterns  probability-classification analysis  consciousness  awareness  cognition
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References found in this work BETA

Cortical Midline Structures and the Self.Georg Northoff & Felix Bermpohl - 2004 - Trends in Cognitive Sciences 8 (3):102-107.
Neural Correlates of the First-Person Perspective.Kai Vogeley & Gereon R. Fink - 2003 - Trends in Cognitive Sciences 7 (1):38-42.

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When Does Consciousness Matter? Lessons From the Minimally Conscious State.Joseph Vukov - 2018 - American Journal of Bioethics Neuroscience 9 (1):5-15.

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