scholarly journals Analysis of the EEG bispectrum, auditory evoked potentials and the EEG power spectrum during repeated transitions from consciousness to unconsciousness

1998 ◽  
Vol 80 (1) ◽  
pp. 46-52 ◽  
Author(s):  
R J Gajraj ◽  
M Doi ◽  
H Mantzaridis ◽  
G N Kenny
Keyword(s):  
Power Spectrum ◽  
Evoked Potentials ◽  
Auditory Evoked Potentials ◽  
Eeg Power Spectrum ◽  
Eeg Power

scholarly journals Monitoring Severe Head Injury: a Comparison of EEG and Somatosensory Evoked Potentials

1998 ◽  
Vol 25 (S1) ◽  
pp. S7-S11 ◽  
Author(s):  
Richard J. Moulton ◽  
Jennifer I.M. Brown ◽  
Stefan J. Konasiewicz
Keyword(s):  
Head Injury ◽  
Power Spectrum ◽  
Evoked Potentials ◽  
Somatosensory Evoked Potentials ◽  
Closed Head Injury ◽  
Total Power ◽  
Post Injury ◽  
Eeg Power Spectrum ◽  
Delta Activity ◽  
Eeg Power

AbstractWe report on our experience with long-term monitoring of the EEG power spectrum and somatosensory evoked potentials (SSEPs) in 103 patients with severe closed head injury (Glasgow Coma Scale - GCS ≤ 8). Patients were monitored for an average of 5 days post injury and monitoring was terminated when they died, regained consciousness or their intracranial physiologic parameters (primarily intracranial pressure - ICP) were stable for 2-3 days. Patients were treated according to a standard protocol that included mechanical ventilation, sedation, and neuromuscular blockade. At 7 of 9 twelve hour time intervals post injury, SSEPs were significantly (p < .05) different between outcome groups using the Glasgow Outcome Score collapsed to 3 categories. The percent slow (delta) activity in the EEG was not significantly different between outcome groups at any time point, post injury. The total power in the EEG power spectrum differed only at the last time epoch post injury (108 hr.). Based on the superior prognostic capabilities of the SSEP, we routinely base critical management decisions on SSEP values. We have not been able to rely on EEG parameters for these same decisions due to the lack of clear distinction between good and poor prognosis groups based on common EEG parameters.

EEG power spectrum typical of vascular dementia in a subgroup of Alzheimer patients

1996 ◽  
Vol 23 (2) ◽  
pp. 139-151 ◽  
Author(s):  
Mario Signorino ◽  
Eugenio Pucci ◽  
Enrico Brizioli ◽  
Gabriella Cacchio ◽  
Giuseppe Nolfe ◽  
...  
Keyword(s):  
Power Spectrum ◽  
Vascular Dementia ◽  
Eeg Power Spectrum ◽  
Eeg Power

scholarly journals EEG Theta Power Activity Reflects Workload among Army Combat Drivers: An Experimental Study

2020 ◽  
Vol 10 (4) ◽  
pp. 199 ◽  
Author(s):  
Carolina Diaz-Piedra ◽  
María Victoria Sebastián ◽  
Leandro L. Di Stasi
Keyword(s):  
Power Spectrum ◽  
Mental Workload ◽  
Brain Activity ◽  
Subjective Data ◽  
Eeg Activity ◽  
The Road ◽  
Task Load ◽  
Eeg Power Spectrum ◽  
Dynamic Simulator ◽  
Eeg Power

We aimed to evaluate the effects of mental workload variations, as a function of the road environment, on the brain activity of army drivers performing combat and non-combat scenarios in a light multirole vehicle dynamic simulator. Forty-one non-commissioned officers completed three standardized driving exercises with different terrain complexities (low, medium, and high) while we recorded their electroencephalographic (EEG) activity. We focused on variations in the theta EEG power spectrum, a well-known index of mental workload. We also assessed performance and subjective ratings of task load. The theta EEG power spectrum in the frontal, temporal, and occipital areas were higher during the most complex scenarios. Performance (number of engine stops) and subjective data supported these findings. Our findings strengthen previous results found in civilians on the relationship between driver mental workload and the theta EEG power spectrum. This suggests that EEG activity can give relevant insight into mental workload variations in an objective, unbiased fashion, even during real training and/or operations. The continuous monitoring of the warfighter not only allows instantaneous detection of over/underload but also might provide online feedback to the system (either automated equipment or the crew) to take countermeasures and prevent fatal errors.

The hypnospectrogram: An EEG power spectrum based means to concurrently overview the macroscopic and microscopic architecture of human sleep

2009 ◽  
Vol 185 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Vasileios Kokkinos ◽  
Andreas Koupparis ◽  
Maria L. Stavrinou ◽  
George K. Kostopoulos
Keyword(s):  
Power Spectrum ◽  
Eeg Power Spectrum ◽  
Human Sleep ◽  
Eeg Power

Sleep and EEG power spectrum effects of the 5-HT1A antagonist NAN-190 alone and in combination with citalopram

1996 ◽  
Vol 75 (1-2) ◽  
pp. 159-168 ◽  
Author(s):  
D. Neckelmann ◽  
A.A. Bjørkum ◽  
B. Bjorvatn ◽  
R. Ursin
Keyword(s):  
Power Spectrum ◽  
Eeg Power Spectrum ◽  
Eeg Power
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