The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Preservation of electroencephalographic organization in patients with impaired consciousness and imaging‐based evidence of command‐following
Open accessAbstract
Objective: Standard clinical characterization of patients with disorders of consciousness (DOC) relies on observation of motor output and may therefore lead to the misdiagnosis of vegetative state or minimally conscious state in patients with preserved cognition. We used conventional electroencephalographic (EEG) measures to assess a cohort of DOC patients with and without functional magnetic resonance imaging (fMRI)‐based evidence of command‐following, and correlated the findings with standard clinical behavioral evaluation and brain metabolic activity. Methods: We enrolled 44 patients with severe brain injury. Behavioral diagnosis was established using standardized clinical assessments. Long‐term EEG recordings were analyzed to determine wakeful background organization and presence of elements of sleep architecture. A subset of patients had fMRI testing of command‐following using motor imagery paradigms (26 patients) and resting brain metabolism measurement using 18 fluorodeoxyglucose positron emission tomography (31 patients). Results: All 4 patients with fMRI evidence of covert command‐following consistently demonstrated well‐organized EEG background during wakefulness, spindling activity during sleep, and relative preservation of cortical metabolic activity. In the entire cohort, EEG organization and overall brain metabolism showed no significant association with bedside behavioral testing, except in a few cases when EEG was severely abnormal. Interpretation: These findings suggest that conventional EEG is a simple strategy that complements behavioral and imaging characterization of DOC patients. Preservation of specific EEG features may be used to assess the likelihood of unrecognized cognitive abilities in severely brain‐injured patients with very limited or no motor responses. Ann Neurol 2014;76:869–879
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A theoretically based index of consciousness independent of sensory processing and behavior
Casali, A. G., Gosseries, O., Rosanova, M., Boly, M., Sarasso, S., Casali, K. R., Casarotto, S., Bruno, M.-A., Laureys, S., Tononi, G., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3006294 · Cited by 1,246
Sitt, J. D., King, J.-R., El Karoui, I., Rohaut, B., Faugeras, F., Gramfort, A., Cohen, L., Sigman, M., Dehaene, S., & Naccache, L. (2014) · Brain · doi:10.1093/brain/awu141 · Cited by 608
Stender, J., Gosseries, O., Bruno, M.-A., Charland-Verville, V., Vanhaudenhuyse, A., Demertzi, A., Chatelle, C., Thonnard, M., Thibaut, A., Heine, L., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60042-8 · Cited by 550
Fridman, E. A., Beattie, B. J., Broft, A., Laureys, S., & Schiff, N. D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320969111 · Cited by 147
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Cited by
Neural correlates of consciousness: progress and problems
Koch, C., Massimini, M., Boly, M., & Tononi, G. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.22 · Cited by 1,600
Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies
Edlow, B. L., Claassen, J., Schiff, N. D., & Greer, D. M. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-020-00428-x · Cited by 731
Self-citationStratification of unresponsive patients by an independently validated index of brain complexity
Casarotto, S., Comanducci, A., Rosanova, M., Sarasso, S., Fecchio, M., Napolitani, M., Pigorini, A., G. Casali, A., Trimarchi, P. D., Boly, M., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24779 · Cited by 487
“Besides quantitative analysis, the clinical qualitative assessment of the EEG background offers a practical tool at the bedside that, if properly interpreted, may outperform some of the above indices.(26) In the present data set, a cutoff between severely and moderately abnormal EEG patterns reached a remarkable sensi…”
MethodCognitive Motor Dissociation Following Severe Brain Injuries
Schiff, N. D. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.2899 · Cited by 477
Self-citationChennu, S., Annen, J., Wannez, S., Thibaut, A., Chatelle, C., Cassol, H., Martens, G., Schnakers, C., Gosseries, O., Menon, D., et al. (2017) · Brain · doi:10.1093/brain/awx163 · Cited by 339
Metadata
- Authors
- Forgacs, P. B., Conte, M. M., Fridman, E. A., Voss, H. U., Victor, J. D., & Schiff, N. D.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2014-10-24
- Volume
- 76
- Issue
- 6
- Pages
- 869-879
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W1958363885
- Cited by
- 165
- References
- 4
- FWCI
- 11.24
- Type
- journal article
- Language
- en
- Open access
- green
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