Electroencephalography and amplitude-integrated EEG

Hellström‐Westas, Lena; Rosén, I.

doi:10.1017/cbo9780511711848.016

Cited by 18 publications

(48 citation statements)

References 74 publications

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“…Amplitude variance caused by artifacts is a serious confounder prevalent in many existing approaches, particularly amplitude-integrated EEG (aEEG, a.k.a. Cerebral Function Monitor [CFM]20). The data-driven algorithm employs burst detection via an adaptive threshold, where scaling properties reported were reliable over a range of thresholds (see Supplementary Material).…”

Section: Discussionmentioning

confidence: 99%

Novel features of early burst suppression predict outcome after birth asphyxia

Iyer

Roberts

Metsäranta

et al. 2014

Ann Clin Transl Neurol

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Burst suppression patterns in the electroencephalogram are a reliable marker of recent severe brain insult. Here we analyze statistical properties of bursts occurring in 20 electroencephalographic recordings acquired from hypothermic asphyxic newborns in the hours immediately following birth. We show that the distributions of burst area and duration in these acute data predict later clinical outcome in both structural neuroimaging and neurodevelopment. Our findings indicate the first early electroencephalographic metrics that offer outcome prediction in asphyxic neonates undergoing hypothermia treatment.

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Section: Discussionmentioning

confidence: 99%

Novel features of early burst suppression predict outcome after birth asphyxia

Iyer

Roberts

Metsäranta

et al. 2014

Ann Clin Transl Neurol

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“…Amplitude-integrated EEG (aEEG) recordings are processed EEG signal from one or more channels without the specific measures for eye movement, electrocardiography (ECG), or respiratory data that are usually collected in polysomnography or conventional bedside EEG. aEEG signal is derived from the original EEG signal by processing to digitally amplify, smooth, rectify, and compress raw EEG onto a piece-wise logarithmic display (1). The trended signal representing background EEG is then visually assessed with regard to the shape and amplitude level of the signal for patterns reflecting brain function.…”

Section: Introductionmentioning

confidence: 99%

“…Brain function patterns vary with maturation, sleep/wake state, or injury, and reflect background brain function over time (1, 6). In particular, aEEG captures the two major background brain function patterns of newborns, continuity and discontinuity, and the cycling that represents a transition from one to the other.…”

Section: Introductionmentioning

confidence: 99%

“…Immaturity and medications such as sedatives and anticonvulsants reduce continuity of the signal and resultant lower border amplitude as reflected by the aEEG (7–13). If the lower border of an aEEG trend is consistently above 5microVolts (μV), the pattern is generally defined as continuous (1, 6, 14–16). In contrast, discontinuity consists of mixed amplitudes patterned as bursts of high amplitude EEG signal interspersed with near zero amplitude, quiescent intervals.…”

Section: Introductionmentioning

confidence: 99%

“…When trended by aEEG, the less dense discontinuous EEG signal plots graphically as a lower border below 5μV (commonly 3–5μV) with a simultaneously high upper border. The resulting wide bandwidth between the two borders is a visual classification of discontinuity (1, 6, 14–16). Bursts of amplitude and interrupted signal are hallmarks of premature brain function described for decades (17).…”

Section: Introductionmentioning

confidence: 99%

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Quantification of neonatal amplitude-integrated EEG patterns

Thorngate

Foreman

Thomas

2013

Early Human Development

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Background Amplitude-integrated EEG (aEEG) is increasingly used in research with premature infants; however, comprehensive interpretation is limited by the lack of simple approaches for reliably quantifying and summarizing the data. Aim Explore operational measures for quantifying continuity and discontinuity, measured by aEEG as components of infant brain function. Study design An exploratory naturalistic study of neonates while in the Neonatal Intensive Care Unit (NICU). One single channel aEEG recording per infant was obtained without disruption of nursing care practices. Subjects 24 infants with mean postmenstrual age (PMA) 33.11 weeks (SD 3.49), average age 2.62 weeks (SD 1.35) and mean birth weights 1.39kg (SD 0.73). Outcome Measures Quantification of continuity and discontinuity included bandwidth and lower border of aEEG, calculated proportion of time with signal amplitude below 10μV, and peak counts. Variance of bandwidth and lower border denoted cycling. Results Group mean bandwidth was 52.98 μV (SD 27.62). Median peak count in 60 second epochs averaged 3.63 (SD 1.74), while median proportion <10 μV was 22% (SD 0.20). The group mean of lower border within-subject aggregated medians was 6.20μV (SD 2.13). Group mean lower border standard deviation was 3.96μV. Proportion <10μV showed a strong negative correlation with the natural log of the lower border median (r = −0.906, p<.0001) after controlling for PMA. Conclusions This study introduces a novel quantification process by counting peaks and proportion of time <10 μV. Expanded definitions and analytic techniques will serve to strengthen the application of existing scoring systems for use in naturalistic research settings and clinical practice.

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Amplitude-integrated EEG and range-EEG modulation associated with pneumatic orocutaneous stimulation in preterm infants

et al. 2013

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BackgroundControlled somatosensory stimulation strategies have demonstrated merit in developing oral feeding skills in premature infants who lack a functional suck, however, the effects of orosensory entrainment stimulation on electrocortical dynamics is unknown.ObjectiveTo determine the effects of servo-controlled pneumatic orocutaneous stimulation presented during gavage feedings on the modulation of aEEG and rEEG activity.MethodsTwo-channel EEG recordings were collected during 180 sessions that included orocutaneous stimulation and non-stimulation epochs among 22 preterm infants (mean gestational age = 28.56 weeks) who were randomized to treatment and control ‘sham’ conditions. The study was initiated at around 32 weeks post-menstrual age (PMA). The raw EEG was transformed into amplitude-integrated EEG (aEEG) margins, and range-EEG (rEEG) amplitude bands measured at 1-minute intervals and subjected to a mixed models statistical analysis.ResultsMultiple significant effects were observed in the processed EEG during and immediately following 3-minute periods of orocutaneous stimulation, including modulation of the upper and lower margins of the aEEG, and a reorganization of rEEG with an apparent shift from amplitude bands D and E to band C throughout the 23-minute recording period that followed the first stimulus block when compared to the sham condition. Cortical asymmetry also was apparent in both EEG measures.ConclusionsOrocutaneous stimulation represents a salient trigeminal input which has both short- and long-term effects in modulating electrocortical activity, and thus, is hypothesized to represent a form of neural adaptation or plasticity that may benefit the preterm infant during this critical period of brain maturation.

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Electroencephalography and amplitude-integrated EEG

Cited by 18 publications

References 74 publications

Novel features of early burst suppression predict outcome after birth asphyxia

Novel features of early burst suppression predict outcome after birth asphyxia

Quantification of neonatal amplitude-integrated EEG patterns

Amplitude-integrated EEG and range-EEG modulation associated with pneumatic orocutaneous stimulation in preterm infants

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