Infraclinical detection of voluntary attention in coma and post-coma patients using electrophysiology
- PMID: 36328928
- DOI: 10.1016/j.clinph.2022.09.019
Infraclinical detection of voluntary attention in coma and post-coma patients using electrophysiology
Abstract
Objective: Early functional evaluation and prognosis of patients with disorders of consciousness is a major challenge that clinical assessments alone cannot solve. Objective measures of brain activity could help resolve this uncertainty. We used electroencephalogram at bedside to detect voluntary attention with a paradigm previously validated in healthy subjects.
Methods: Using auditory-oddball sequences, our approach rests on detecting known attentional modulations of Event Related Potentials that reflect compliance with verbal instructions. Sixty-eight unresponsive patients were tested in their first year after coma onset (37 coma and 31 first year post-coma patients). Their evolution 6 months after the test was considered.
Results: Fourteen of the 68 patients, showed a positive response. Nine were in a coma and 5 in a minimally conscious state (MCS). Except for one who died early, all responders evolved to exit-MCS within 6 months (93%), while 35 (65%) among non-responders only.
Conclusions: Among those patients for whom the outcome is highly uncertain, 21% responded positively to this simple but cognitively demanding test. Strikingly, some coma patients were among responders.
Significance: The proposed paradigm revealed cognitive-motor dissociation in some coma patients. This ability to sustain attention on demand predicted awakening within 6 months and represents an immediately useful information for relatives and caregivers.
Keywords: Active paradigm; Coma; Consciousness disorders; Electroencephalography; Event related potentials; Outcome.
Copyright © 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.
Conflict of interest statement
Conflict of Interest Statement None of the authors have potential conflicts of interest to be disclosed.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical

