Connectivity biomarkers can differentiate patients with different levels of consciousness |
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| Affiliation: | 1. Neuroscience Institute & Centre for Neurocognitive Research, Christian Doppler Klinik, Paracelsus Medical University, Salzburg, Austria;2. Centre for Neurocognitive Research & Department of Psychology, University of Salzburg, Salzburg, Austria;3. Department of Neurology, Christian Doppler Klinik, Paracelsus Medical University, Salzburg, Austria;4. Coma Science Group, Cyclotron Research Centre, University of Liège, Belgium;5. Neurology Department, CHU Sart Tilman Hospital, University of Liège, Belgium;6. Brain and Mind Institute, Physics & Astronomy Department, Western University, London, Ontario, Canada;1. Univ Rennes, LTSI, F-35000 Rennes, France;2. Azm Center for Research in Biotechnology and its Applications, EDST, Lebanese University, Lebanon;3. GIGA Consciousness, University of Liège, Liège, Belgium;4. Coma Science Group, University Hospital of Liège, Liège, Belgium |
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| Abstract: | ObjectiveIn the present study, we searched for resting-EEG biomarkers that distinguish different levels of consciousness on a single subject level with an accuracy that is significantly above chance.MethodsWe assessed 44 biomarkers extracted from the resting EEG with respect to their discriminative value between groups of minimally conscious (MCS, N = 22) patients, vegetative state patients (VS, N = 27), and – for a proof of concept – healthy participants (N = 23). We applied classification with support vector machines.ResultsPartial coherence, directed transfer function, and generalized partial directed coherence yielded accuracies that were significantly above chance for the group distinction of MCS vs. VS (.88, .80, and .78, respectively), as well as healthy participants vs. MCS (.96, .87, and .93, respectively) and VS (.98, .84, and .96, respectively) patients.ConclusionsThe concept of connectivity is crucial for determining the level of consciousness, supporting the view that assessing brain networks in the resting state is the golden way to examine brain functions such as consciousness.SignificanceThe present results directly show that it is possible to distinguish patients with different levels of consciousness on the basis of resting-state EEG. |
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| Keywords: | DOC MCS VS Coherence GPDC DTF Classification |
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