OBJECTIVE: Clinical assessments that rely on behavioral responses to differentiate @entity1662 are at times inapt because of some @entity1 ' motor disabilities. To objectify @entity1 ' conditions of reduced @entity1662 the present study evaluated the use of electroencephalography to measure residual brain activity. METHODS: We analyzed entropy values of 18 scalp EEG channels of 15 severely brain-damaged @entity1 with clinically diagnosed Minimally-Conscious-State (MCS) or @entity1442 ( @entity1442 ) and compared the results to a sample of 24 control subjects. Permutation entropy (PeEn) and symbolic transfer entropy (STEn), reflecting information processes in the EEG, were calculated for all subjects. @entity1 were tested on a modified active own-name paradigm to identify correlates of active instruction following. RESULTS: PeEn showed reduced local information content in the EEG in @entity1 , that was most pronounced in @entity1442 . STEn analysis revealed altered directed information flow in the EEG of @entity1 , indicating impaired feed-backward connectivity. Responses to auditory stimulation yielded differences in entropy measures, indicating reduced information processing in MCS and @entity1442 . CONCLUSIONS: Local EEG information content and information flow are affected in @entity1662 . This suggests local cortical information capacity and feedback information transfer as neural correlates of @entity1662 . SIGNIFICANCE: The utilized EEG entropy analyses were able to relate to @entity1 groups with different @entity1662 .

EEG entropy measures indicate decrease of cortical information processing in XXXX .

@entity1 :: ('9606', 'Species') :: ['patients', 'patient', 'Participants'] @entity1662 :: ('MESH:D003244', 'Disease') :: ['consciousness', 'Disorders of Consciousness'] @entity1442 :: ('MESH:D020178', 'Disease') :: ['Unresponsive-Wakefulness-Syndrome', 'UWS']
@entity1662 :: (MESH:D003244,Disease) :: ['Disorders of Consciousness']
