The Experts below are selected from a list of 43392 Experts worldwide ranked by ideXlab platform
George D. Shorten - One of the best experts on this subject based on the ideXlab platform.
-
behaviour of spectral entropy spectral edge frequency 90 and alpha and Beta Power parameters during low dose propofol infusion
BJA: British Journal of Anaesthesia, 2008Co-Authors: P. Mahon, B. R. Greene, Ciara M. Greene, G. B. Boylan, George D. ShortenAbstract:Abstract Background In this study we analyse the behaviour, potential clinical application and optimal cortical sampling location of the spectral parameters: (i) relative alpha and Beta Power; (ii) spectral edge frequency 90%; and (iii) spectral entropy as monitors of moderate propofol-induced sedation. Methods Multi-channel EEG recorded from 12 ASA 1 (American Society of Anesthesiologists physical status 1) patients during low-dose, target effect-site controlled propofol infusion was used for this analysis. The initial target effect-site concentration was 0.5 μg ml −1 and increased at 4 min intervals in increments of 0.5 to 2 μg ml −1 . EEG parameters were calculated for 2 s epochs in the frequency ranges 0.5–32 and 0.5–47 Hz. All parameters were calculated in the channels: P4–O2, P3–O1, F4–C4, F3–C3, F3–F4, and Fp1–Fp2. Sedation was assessed clinically using the OAA/S (observer’s assessment of alertness/sedation) scale. Results Relative Beta Power and spectral entropy increased with increasing propofol effect-site concentration in both the 0.5–47 Hz [ F (18, 90) = 3.455, P F (18, 90) = 3.33, P P vs 0.814 ( P >0.05)] or 0.5–47 Hz range [Pk=0.81 vs 0.82 ( P >0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5–47 Hz in the frontal channel F3–F4 (Pk=0.85). Conclusions Relative Beta Power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.
-
Behaviour of spectral entropy, spectral edge frequency 90%, and alpha and Beta Power parameters during low-dose propofol infusion
British journal of anaesthesia, 2008Co-Authors: P. Mahon, B. R. Greene, Ciara M. Greene, G. B. Boylan, George D. ShortenAbstract:Abstract Background In this study we analyse the behaviour, potential clinical application and optimal cortical sampling location of the spectral parameters: (i) relative alpha and Beta Power; (ii) spectral edge frequency 90%; and (iii) spectral entropy as monitors of moderate propofol-induced sedation. Methods Multi-channel EEG recorded from 12 ASA 1 (American Society of Anesthesiologists physical status 1) patients during low-dose, target effect-site controlled propofol infusion was used for this analysis. The initial target effect-site concentration was 0.5 μg ml −1 and increased at 4 min intervals in increments of 0.5 to 2 μg ml −1 . EEG parameters were calculated for 2 s epochs in the frequency ranges 0.5–32 and 0.5–47 Hz. All parameters were calculated in the channels: P4–O2, P3–O1, F4–C4, F3–C3, F3–F4, and Fp1–Fp2. Sedation was assessed clinically using the OAA/S (observer’s assessment of alertness/sedation) scale. Results Relative Beta Power and spectral entropy increased with increasing propofol effect-site concentration in both the 0.5–47 Hz [ F (18, 90) = 3.455, P F (18, 90) = 3.33, P P vs 0.814 ( P >0.05)] or 0.5–47 Hz range [Pk=0.81 vs 0.82 ( P >0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5–47 Hz in the frontal channel F3–F4 (Pk=0.85). Conclusions Relative Beta Power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.
-
NEUROSCIENCES AND NEUROANAESTHESIA Behaviour of spectral entropy, spectral edge frequency 90%, and alpha and Beta Power parameters during low-dose propofol infusion
2008Co-Authors: P. Mahon, B. R. Greene, Ciara M. Greene, G. B. Boylan, George D. ShortenAbstract:Results. Relative Beta Power and spectral entropy increased with increasing propofol effectsite concentration in both the 0.5–47 Hz [F(18, 90) ¼ 3.455, P,0.05 and F(18, 90) ¼ 3.33, P,0.05, respectively] and 0.5–32 Hz frequency range. This effect was significant in each individual channel (P,0.05). No effect was seen of increasing effect-site concentration on relative Power in the alpha band. Averaged across all channels, spectral entropy did not outperform relative Beta Power in either the 0.5–32 Hz [Pk¼0.79 vs 0.814 (P.0.05)] or 0.5–47 Hz range [Pk¼0.81 vs 0.82 (P.0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5–47 Hz in the frontal channel F3–F4 (Pk¼0.85). Conclusions. Relative Beta Power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.
P. Mahon - One of the best experts on this subject based on the ideXlab platform.
-
behaviour of spectral entropy spectral edge frequency 90 and alpha and Beta Power parameters during low dose propofol infusion
BJA: British Journal of Anaesthesia, 2008Co-Authors: P. Mahon, B. R. Greene, Ciara M. Greene, G. B. Boylan, George D. ShortenAbstract:Abstract Background In this study we analyse the behaviour, potential clinical application and optimal cortical sampling location of the spectral parameters: (i) relative alpha and Beta Power; (ii) spectral edge frequency 90%; and (iii) spectral entropy as monitors of moderate propofol-induced sedation. Methods Multi-channel EEG recorded from 12 ASA 1 (American Society of Anesthesiologists physical status 1) patients during low-dose, target effect-site controlled propofol infusion was used for this analysis. The initial target effect-site concentration was 0.5 μg ml −1 and increased at 4 min intervals in increments of 0.5 to 2 μg ml −1 . EEG parameters were calculated for 2 s epochs in the frequency ranges 0.5–32 and 0.5–47 Hz. All parameters were calculated in the channels: P4–O2, P3–O1, F4–C4, F3–C3, F3–F4, and Fp1–Fp2. Sedation was assessed clinically using the OAA/S (observer’s assessment of alertness/sedation) scale. Results Relative Beta Power and spectral entropy increased with increasing propofol effect-site concentration in both the 0.5–47 Hz [ F (18, 90) = 3.455, P F (18, 90) = 3.33, P P vs 0.814 ( P >0.05)] or 0.5–47 Hz range [Pk=0.81 vs 0.82 ( P >0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5–47 Hz in the frontal channel F3–F4 (Pk=0.85). Conclusions Relative Beta Power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.
-
Behaviour of spectral entropy, spectral edge frequency 90%, and alpha and Beta Power parameters during low-dose propofol infusion
British journal of anaesthesia, 2008Co-Authors: P. Mahon, B. R. Greene, Ciara M. Greene, G. B. Boylan, George D. ShortenAbstract:Abstract Background In this study we analyse the behaviour, potential clinical application and optimal cortical sampling location of the spectral parameters: (i) relative alpha and Beta Power; (ii) spectral edge frequency 90%; and (iii) spectral entropy as monitors of moderate propofol-induced sedation. Methods Multi-channel EEG recorded from 12 ASA 1 (American Society of Anesthesiologists physical status 1) patients during low-dose, target effect-site controlled propofol infusion was used for this analysis. The initial target effect-site concentration was 0.5 μg ml −1 and increased at 4 min intervals in increments of 0.5 to 2 μg ml −1 . EEG parameters were calculated for 2 s epochs in the frequency ranges 0.5–32 and 0.5–47 Hz. All parameters were calculated in the channels: P4–O2, P3–O1, F4–C4, F3–C3, F3–F4, and Fp1–Fp2. Sedation was assessed clinically using the OAA/S (observer’s assessment of alertness/sedation) scale. Results Relative Beta Power and spectral entropy increased with increasing propofol effect-site concentration in both the 0.5–47 Hz [ F (18, 90) = 3.455, P F (18, 90) = 3.33, P P vs 0.814 ( P >0.05)] or 0.5–47 Hz range [Pk=0.81 vs 0.82 ( P >0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5–47 Hz in the frontal channel F3–F4 (Pk=0.85). Conclusions Relative Beta Power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.
-
NEUROSCIENCES AND NEUROANAESTHESIA Behaviour of spectral entropy, spectral edge frequency 90%, and alpha and Beta Power parameters during low-dose propofol infusion
2008Co-Authors: P. Mahon, B. R. Greene, Ciara M. Greene, G. B. Boylan, George D. ShortenAbstract:Results. Relative Beta Power and spectral entropy increased with increasing propofol effectsite concentration in both the 0.5–47 Hz [F(18, 90) ¼ 3.455, P,0.05 and F(18, 90) ¼ 3.33, P,0.05, respectively] and 0.5–32 Hz frequency range. This effect was significant in each individual channel (P,0.05). No effect was seen of increasing effect-site concentration on relative Power in the alpha band. Averaged across all channels, spectral entropy did not outperform relative Beta Power in either the 0.5–32 Hz [Pk¼0.79 vs 0.814 (P.0.05)] or 0.5–47 Hz range [Pk¼0.81 vs 0.82 (P.0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5–47 Hz in the frontal channel F3–F4 (Pk¼0.85). Conclusions. Relative Beta Power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.
Leon Amadeus Steine - One of the best experts on this subject based on the ideXlab platform.
-
p 74 subthalamic Beta dynamics mirror parkinsonian bradykinesia months after neurostimulator implantation
Clinical Neurophysiology, 2017Co-Authors: Leon Amadeus Steine, Wolfjulia Neuma, Damia M Herz, Alek Pogosya, F Straub, Andrea A KuhAbstract:Background Exaggerated oscillatory activity in the Beta frequency band in the subthalamic nucleus has been suggested to be related to bradykinesia in Parkinson’s disease (PD). However, past studies have been limited to recordings obtained in the postoperative, stun-effect affected period, and have seldom reported evidence of this effect within, as opposed to across, patients. Methods Here we investigate how Beta Power dynamics in the local field potential relate to changes in kinematic parameters in an upper limb alternating pronation and supination task in PD patients several months after neurostimulator implantation. Local field potentials were recorded from a fully implanted pulse generator (Activa PC+S, Medtronic, Inc.) and motor performance simultaneously tracked. Results While Beta Power was suppressed during repeated movements, this suppression progressively fell off in tandem with a decrement in the frequency and speed of movements over time. This was significant both within and across patients. Discussion These findings provide further evidence that Beta Power may serve as a biomarker for bradykinesia and thus be a suitable feedback input for chronic adaptive deep brain stimulation.
-
subthalamic Beta dynamics mirror parkinsonian bradykinesia months after neurostimulator implantation
Movement Disorders, 2017Co-Authors: Leon Amadeus Steine, Wolfjulia Neuma, Franziska Staubbartel, Damia M Herz, Alek Pogosya, Andrea A KuhAbstract:Background Exaggerated oscillatory activity in the Beta frequency band in the subthalamic nucleus has been suggested to be related to bradykinesia in Parkinson's disease (PD). However, studies seeking correlations between such activity in the local field potential and motor performance have been limited to the immediate postoperative period, which may be confounded by a stun effect that leads to the temporary alleviation of PD deficits. Methods Local field potentials were recorded simultaneously with motor performance in PD patients several months after neurostimulator implantation. This was enabled by the chronic implantation of a pulse generator with the capacity to record and transmit local field potentials from deep brain stimulation electrodes. Specifically, we investigated oscillatory Beta Power dynamics and objective measures of bradykinesia during an upper limb alternating pronation and supination task in 9 patients. Results Although Beta Power was suppressed during continuously repeated movements, this suppression progressively diminished over time in tandem with a progressive decrement in the frequency and amplitude of movements. The relationship between changes within local field potentials and movement parameters was significant across patients, and not present for theta/alpha frequencies (5-12 Hz). Change in movement frequency furthermore related to Beta Power dynamics within patients. Conclusions Changes in Beta Power are linked to changes in movement performance and the sequence effect of bradykinesia months after neurostimulator implantation. These findings provide further evidence that Beta Power may serve as a biomarker for bradykinesia and provide a suitable substrate for feedback control in chronic adaptive deep brain stimulation. © 2017 International Parkinson and Movement Disorder Society
Marc R Nuwer - One of the best experts on this subject based on the ideXlab platform.
-
practice advisory the utility of eeg theta Beta Power ratio in adhd diagnosis report of the guideline development dissemination and implementation subcommittee of the american academy of neurology
Neurology, 2016Co-Authors: David Gloss, Jay Varma, Tamara Pringsheim, Marc R NuwerAbstract:Objective: To evaluate the evidence for EEG theta/Beta Power ratio for diagnosing, or helping to diagnose, attention-deficit/hyperactivity disorder (ADHD). Methods: We identified relevant studies and classified them using American Academy of Neurology criteria. Results: Two Class I studies assessing the ability of EEG theta/Beta Power ratio and EEG frontal Beta Power to identify patients with ADHD correctly identified 166 of 185 participants. Both studies evaluated theta/Beta Power ratio and frontal Beta Power in suspected ADHD or in syndromes typically included in an ADHD differential diagnosis. A bivariate model combining the diagnostic studies shows that the combination of EEG frontal Beta Power and theta/Beta Power ratio has relatively high sensitivity and specificity but is insufficiently accurate. Conclusions: It is unknown whether a combination of standard clinical examination and EEG theta/Beta Power ratio increases diagnostic certainty of ADHD compared with clinical examination alone. Recommendations: Level B: Clinicians should inform patients with suspected ADHD and their families that the combination of EEG theta/Beta Power ratio and frontal Beta Power should not replace a standard clinical evaluation. There is a risk for significant harm to patients from ADHD misdiagnosis because of the unacceptably high false-positive diagnostic rate of EEG theta/Beta Power ratio and frontal Beta Power. Level R: Clinicians should inform patients with suspected ADHD and their families that the EEG theta/Beta Power ratio should not be used to confirm an ADHD diagnosis or to support further testing after a clinical evaluation, unless such diagnostic assessments occur in a research setting.
-
Practice advisory: The utility of EEG theta/Beta Power ratio in ADHD diagnosis Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology
Neurology, 2016Co-Authors: David Gloss, Tamara Pringsheim, Jay K. Varma, Marc R NuwerAbstract:Objective: To evaluate the evidence for EEG theta/Beta Power ratio for diagnosing, or helping to diagnose, attention-deficit/hyperactivity disorder (ADHD). Methods: We identified relevant studies and classified them using American Academy of Neurology criteria. Results: Two Class I studies assessing the ability of EEG theta/Beta Power ratio and EEG frontal Beta Power to identify patients with ADHD correctly identified 166 of 185 participants. Both studies evaluated theta/Beta Power ratio and frontal Beta Power in suspected ADHD or in syndromes typically included in an ADHD differential diagnosis. A bivariate model combining the diagnostic studies shows that the combination of EEG frontal Beta Power and theta/Beta Power ratio has relatively high sensitivity and specificity but is insufficiently accurate. Conclusions: It is unknown whether a combination of standard clinical examination and EEG theta/Beta Power ratio increases diagnostic certainty of ADHD compared with clinical examination alone. Recommendations: Level B: Clinicians should inform patients with suspected ADHD and their families that the combination of EEG theta/Beta Power ratio and frontal Beta Power should not replace a standard clinical evaluation. There is a risk for significant harm to patients from ADHD misdiagnosis because of the unacceptably high false-positive diagnostic rate of EEG theta/Beta Power ratio and frontal Beta Power. Level R: Clinicians should inform patients with suspected ADHD and their families that the EEG theta/Beta Power ratio should not be used to confirm an ADHD diagnosis or to support further testing after a clinical evaluation, unless such diagnostic assessments occur in a research setting.
Ciara M. Greene - One of the best experts on this subject based on the ideXlab platform.
-
behaviour of spectral entropy spectral edge frequency 90 and alpha and Beta Power parameters during low dose propofol infusion
BJA: British Journal of Anaesthesia, 2008Co-Authors: P. Mahon, B. R. Greene, Ciara M. Greene, G. B. Boylan, George D. ShortenAbstract:Abstract Background In this study we analyse the behaviour, potential clinical application and optimal cortical sampling location of the spectral parameters: (i) relative alpha and Beta Power; (ii) spectral edge frequency 90%; and (iii) spectral entropy as monitors of moderate propofol-induced sedation. Methods Multi-channel EEG recorded from 12 ASA 1 (American Society of Anesthesiologists physical status 1) patients during low-dose, target effect-site controlled propofol infusion was used for this analysis. The initial target effect-site concentration was 0.5 μg ml −1 and increased at 4 min intervals in increments of 0.5 to 2 μg ml −1 . EEG parameters were calculated for 2 s epochs in the frequency ranges 0.5–32 and 0.5–47 Hz. All parameters were calculated in the channels: P4–O2, P3–O1, F4–C4, F3–C3, F3–F4, and Fp1–Fp2. Sedation was assessed clinically using the OAA/S (observer’s assessment of alertness/sedation) scale. Results Relative Beta Power and spectral entropy increased with increasing propofol effect-site concentration in both the 0.5–47 Hz [ F (18, 90) = 3.455, P F (18, 90) = 3.33, P P vs 0.814 ( P >0.05)] or 0.5–47 Hz range [Pk=0.81 vs 0.82 ( P >0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5–47 Hz in the frontal channel F3–F4 (Pk=0.85). Conclusions Relative Beta Power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.
-
Behaviour of spectral entropy, spectral edge frequency 90%, and alpha and Beta Power parameters during low-dose propofol infusion
British journal of anaesthesia, 2008Co-Authors: P. Mahon, B. R. Greene, Ciara M. Greene, G. B. Boylan, George D. ShortenAbstract:Abstract Background In this study we analyse the behaviour, potential clinical application and optimal cortical sampling location of the spectral parameters: (i) relative alpha and Beta Power; (ii) spectral edge frequency 90%; and (iii) spectral entropy as monitors of moderate propofol-induced sedation. Methods Multi-channel EEG recorded from 12 ASA 1 (American Society of Anesthesiologists physical status 1) patients during low-dose, target effect-site controlled propofol infusion was used for this analysis. The initial target effect-site concentration was 0.5 μg ml −1 and increased at 4 min intervals in increments of 0.5 to 2 μg ml −1 . EEG parameters were calculated for 2 s epochs in the frequency ranges 0.5–32 and 0.5–47 Hz. All parameters were calculated in the channels: P4–O2, P3–O1, F4–C4, F3–C3, F3–F4, and Fp1–Fp2. Sedation was assessed clinically using the OAA/S (observer’s assessment of alertness/sedation) scale. Results Relative Beta Power and spectral entropy increased with increasing propofol effect-site concentration in both the 0.5–47 Hz [ F (18, 90) = 3.455, P F (18, 90) = 3.33, P P vs 0.814 ( P >0.05)] or 0.5–47 Hz range [Pk=0.81 vs 0.82 ( P >0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5–47 Hz in the frontal channel F3–F4 (Pk=0.85). Conclusions Relative Beta Power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.
-
NEUROSCIENCES AND NEUROANAESTHESIA Behaviour of spectral entropy, spectral edge frequency 90%, and alpha and Beta Power parameters during low-dose propofol infusion
2008Co-Authors: P. Mahon, B. R. Greene, Ciara M. Greene, G. B. Boylan, George D. ShortenAbstract:Results. Relative Beta Power and spectral entropy increased with increasing propofol effectsite concentration in both the 0.5–47 Hz [F(18, 90) ¼ 3.455, P,0.05 and F(18, 90) ¼ 3.33, P,0.05, respectively] and 0.5–32 Hz frequency range. This effect was significant in each individual channel (P,0.05). No effect was seen of increasing effect-site concentration on relative Power in the alpha band. Averaged across all channels, spectral entropy did not outperform relative Beta Power in either the 0.5–32 Hz [Pk¼0.79 vs 0.814 (P.0.05)] or 0.5–47 Hz range [Pk¼0.81 vs 0.82 (P.0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5–47 Hz in the frontal channel F3–F4 (Pk¼0.85). Conclusions. Relative Beta Power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.