TY - JOUR
T1 - Large-scale brain dynamics in disorders of consciousness
AU - Schiff, Nicholas D.
AU - Nauvel, Tanya
AU - Victor, Jonathan D.
N1 - Funding Information:
This work was supported by NIH-NICHD HD51912 and the James S. McDonnell Foundation (NDS, PI). Some of the conceptual framework in this review was presented at the Society for Neuroscience Annual Meeting (2011), Drover, J.D., Conte, M.M., Goldfine, A.M., Voss, H.U., Victor, J.D., and Schiff, N.D. (2011). Are low frequency oscillations in the EEG of severely injured brains a marker for functional reserve of cortical neurons? (Abstract) Program No. 675.07. 2011.
PY - 2014/4
Y1 - 2014/4
N2 - Brain injury profoundly affects global brain dynamics, and these changes are manifest in the electroencephalogram (EEG). Despite the heterogeneity of injury mechanisms and the modularity of brain function, there is a commonality of dynamical features that characterize the EEG along the gamut from coma to recovery. After severest injury, EEG activity is concentrated below 1. Hz. In minimally conscious state during wakefulness, there is a peak of activity in the 3-7. Hz range, often coherent across the brain, and often also activity in the beta (15-30. Hz) range. These spectral changes likely result from varying degrees of functional deafferentation at thalamic and cortical levels. EEG-based indices of brain dynamics that go beyond these simple spectral measures may provide further diagnostic information and physiologic insights.
AB - Brain injury profoundly affects global brain dynamics, and these changes are manifest in the electroencephalogram (EEG). Despite the heterogeneity of injury mechanisms and the modularity of brain function, there is a commonality of dynamical features that characterize the EEG along the gamut from coma to recovery. After severest injury, EEG activity is concentrated below 1. Hz. In minimally conscious state during wakefulness, there is a peak of activity in the 3-7. Hz range, often coherent across the brain, and often also activity in the beta (15-30. Hz) range. These spectral changes likely result from varying degrees of functional deafferentation at thalamic and cortical levels. EEG-based indices of brain dynamics that go beyond these simple spectral measures may provide further diagnostic information and physiologic insights.
UR - http://www.scopus.com/inward/record.url?scp=84888095498&partnerID=8YFLogxK
U2 - 10.1016/j.conb.2013.10.007
DO - 10.1016/j.conb.2013.10.007
M3 - Review article
C2 - 24709594
AN - SCOPUS:84888095498
SN - 0959-4388
VL - 25
SP - 7
EP - 14
JO - Current Opinion in Neurobiology
JF - Current Opinion in Neurobiology
ER -