Journal List > Anesth Pain Med > v.20(4) > 1516093140

Song: Age-specific electroencephalography dynamics during anesthesia: monitoring and neurocognitive implications

Abstract

Electroencephalography (EEG) reflects thalamocortical activity during anesthesia, but its signatures vary markedly with age. Alpha oscillations emerge in late infancy, peak in childhood, and decline with aging, producing substantial bias in processed EEG (pEEG) indices derived mainly from adult data. This narrative review summarizes age-specific EEG dynamics under γ-aminobutyric acid (GABA)-ergic anesthesia, highlighting developmental and aging trajectories, age effects on pEEG reliability, and associations with postoperative delirium (POD), emergence agitation (EA), and recovery outcomes. In infants and toddlers, immature alpha activity may lead to less reliable or incompletely suppressed index values even during deep anesthesia, whereas in children up to 6–7 years, indices remain variable and poorly correlated with anesthetic concentration. In older adults, alpha attenuation and spectral flattening elevate pEEG values despite EEG suppression, increasing overdose risk. Age-related EEG differences could influence the interpretation of outcome studies. Although results are mixed, meta-analyses suggest that pEEG-guided or lighter anesthesia may modestly reduce POD incidence but not consistently decrease EA in children. EEG features such as reduced alpha power and increased burst suppression are reliable predictors of POD in adults, while pediatric evidence remains limited. Randomized trials on spectrogram- or raw EEG-guided titration have shown variable neurocognitive outcomes and inconsistent anesthetic-sparing effects. Overall, pEEG reliability declines in both young and older patients. Age-adjusted interpretation—incorporating raw EEG and spectrogram analysis—is essential for accurate anesthetic titration and safer neurocognitive outcomes across the lifespan.

INTRODUCTION

General anesthesia induces unconsciousness by modulating thalamocortical and cortical networks. These effects are readily reflected in electroencephalography (EEG). EEG signals are conventionally divided into frequency bands, including slow–delta (0.1–4 Hz), theta (4–8 Hz), alpha (8–12 Hz), beta (13–30 Hz), and gamma (> 30 Hz), each associated with characteristic brain states [1]. Under γ-aminobutyric acid (GABA)-ergic agents such as sevoflurane and propofol, a characteristic frontal EEG pattern emerges, with coherent alpha oscillations superimposed on slow–delta activity; this “alpha–slow” pattern is a recognized neurophysiologic signature of anesthetic-induced unconsciousness [2]. Burst suppression (BS) is alternating high-amplitude bursts and isoelectric suppression and indicate profound cortical inactivation. Mechanistically, BS reflects profound synaptic quiescence with reduced cerebral metabolic rate [3,4]. Vulnerable brains reach the suppression threshold at lower anesthetic concentrations and dwell longer in isoelectric epochs, plausibly disrupting thalamocortical information flow and arousal system responsiveness in the early postoperative period [4,5].
These signatures vary across the lifespan. In children, ongoing brain maturation yields evolving EEG patterns, while spectral power and coherence attenuate and spectral features shift with aging [6-9]. Despite these differences, most commercially available processed EEG (pEEG) monitors, such as the bispectral index (BIS), entropy, and patient state index (PSI), have been developed primarily from healthy adult datasets and often do not account for age-specific variations. These differences have practical implications for anesthetic titration and underscore the need for age-adjusted interpretations of intraoperative EEG.
This review provides a lifespan synthesis of intraoperative EEG under GABAergic anesthesia, (1) delineating spectral trajectories from birth to old age; (2) quantifying how age alters the outputs of widely used pEEG monitors and the implications for anesthetic titration; (3) appraising evidence that specific raw EEG features relate to postoperative delirium (POD) in older adults and emergence agitation (EA) in children; and (4) evaluating randomized trials of EEG-guided management and their neurocognitive outcomes.
This review is narrative in nature and not based on a systematic database search. Pivotal randomized controlled trials (RCTs), major meta-analyses, and representative observational studies relevant to age-specific EEG dynamics during anesthesia, pEEG monitoring, and postoperative neurocognitive outcomes were selected for inclusion.

AGE-RELATED CHANGES IN EEG POWER SPECTRA AND COHERENCE

Under GABAergic general anesthesia, EEG features evolve systematically across the lifespan, with the alpha band showing the most distinctive age sensitivity. In neonates and young infants, sevoflurane produces spectra dominated by slow–delta activity, whereas theta and alpha activities are minimal or absent [6,7]. Beginning at 3–4 months of age, alpha oscillations emerge and strengthen during late infancy and toddlerhood. By 10–11 months, frontal alpha coherence becomes clearly detectable, consistent with maturing thalamocortical and corticocortical connectivity [6,7]. During early childhood, alpha power and frontal coherence continue to increase, with the overall spectral power peaking approximately 5–8 years before stabilizing in adolescence [6].
In adolescents and young adults, the canonical anesthetic pattern consists of a coherent frontal alpha rhythm superimposed on slow–delta oscillations [6]. With advancing age, broadband power declines, and alpha power shows the steepest and most consistent attenuation, accompanied by diminished frontal alpha coherence, slower peak frequency, and a prominent decrease in slow–delta power [6,9]. Older patients are also more likely to exhibit intraoperative BS, underscoring the age-related vulnerability of thalamocortical circuits [9].
Figs. 1, 2 illustrate these age-dependent dynamics under sevoflurane anesthesia: Fig. 1 shows frontal spectrograms from birth to 3 years, highlighting the emergence and stabilization of the alpha band with development [7]. Fig. 2 displays the adult spectra from 18 to 90 years of age, with a scatterplot demonstrating a negative association between alpha power and age [9]. Table 1 summarizes the corresponding age-specific spectral and coherence features across the lifespan. Power denotes oscillatory strength, whereas coherence reflects synchrony across regions. Notably, developmental studies have shown that alpha power emerges months before frontal alpha coherence becomes robust.

AGE-RELATED CHALLENGES IN pEEG MONITORING

Commercially available pEEG monitors are widely used to assess the anesthetic depth in adults and children. However, as most of these indices were originally developed using adult EEG datasets, their accuracy may be compromised in pediatric and older patients. This chapter reviews the age-dependent limitations in interpreting pEEG indices, with key findings summarized in Table 2. It is notable that regulatory approval ages differ between monitors; BIS is U.S. Food and Drug Administration (FDA)-cleared for adults and children aged 4 years and older. However, its algorithm was developed from adult EEG data without pediatric-specific modifications. In contrast, PSI has been FDA-cleared for patients aged 1 year and older, with pediatric algorithm adjustments incorporated in recent years. However, most clinical studies do not specify whether these were applied.

Older population

Age-related alterations in the EEG spectral composition can bias the outputs of pEEG algorithms. The earliest study, by Kratzer et al. [10], examined propofol-induced BS and showed that aging is characterized by diminished alpha power and elevated permutation entropy (PE), which is indicative of greater temporal complexity. This result implies that complexity-based pEEG measures such as PE can paradoxically increase with age despite deep anesthesia, potentially complicating the detection of BS in older patients. Obert et al. [11] analyzed EEG data from 180 adults (aged 18–90 years) under sevoflurane anesthesia using multiple commercial algorithms. BIS, quantitative consciousness index (qCON), state entropy (SE), and response entropy (RE) increased linearly with age (approximately 2 index units/decade), spectral edge frequency (SEF) rose by approximately 0.5 Hz/decade, Treaton decreased, and Narcotrend showed no age effect. Obert et al. [12] further reported that PSI increased by approximately 2 index points/decade regardless of the anesthetic agent, with SEF showing a similar upward trend. Biggs et al. [13] compared EEG parameters in younger and older adults during propofol induction and noted a higher BIS, Lempel–Ziv complexity, and SEF in older adults, accompanied by reduced alpha power. More recently, Ebensperger et al. [14] conducted a large-scale analysis of over 14,000 adult cases and confirmed that SE and RE increase with age during steady-state anesthesia, despite equivalent or higher age-adjusted minimum alveolar concentration (MAC) values. Even within the “adequate” SE range (40–60), older patients frequently exhibited BS, and the likelihood of this mismatch rose sharply with age (ρ = 0.90), highlighting the risk of inadvertent anesthetic overdose if age-related EEG changes are not considered.
Collectively, these studies suggest that age-related changes in EEG, characterized by marked attenuation of alpha and slow–delta activity with relative preservation of higher frequencies and increased temporal irregularity, are expressed differently across pEEG metrics depending on their underlying algorithms. The spectral entropy indices (SE and RE) primarily increase owing to a flatter power spectrum and even spectral distribution [11,14]. Complexity metrics (PE and Lempel–Ziv complexity) rise with greater temporal pattern variability and reduced rhythmicity [10,13]. Composite indices (BIS, PSI, and qCON) also tend to increase with age, most likely reflecting spectral redistribution [11-13].

Pediatric population

In pediatric patients, the reliability of pEEG indices varies markedly with age, reflecting the rapid and nonlinear maturation of EEG features in early childhood (Table 1, Fig. 1A). The late emergence and gradual maturation of frontal alpha oscillations, a crucial component of many pEEG algorithms, indicate that before full development, indices such as the BIS and PSI do not accurately reflect anesthetic depth, particularly in infants and toddlers. Unlike the BIS, which is based solely on adult EEG data, the PSI incorporates pediatric-specific algorithms; however, its reliability in infants and young children remains uncertain.
Tokuwaka et al. [15] examined MACBIS50 (end-tidal sevoflurane at which BIS would be 50), but were unable to determine it in 1-year-old children, as BIS never decreased below 50, even at concentrations up to 4.8% sevoflurane. In a prospective trial of 111 children aged 1–18 years, Ricci et al. [16] found that children aged < 2 years consistently exhibited higher PSI values than older children, despite similar age-adjusted dosing. Sciusco et al. [17] analyzed 48 children across three age groups (infants, toddlers, and school-aged children) and demonstrated that the concentration–index coupling strengthened as they grew, with BIS and SE values being lowest in infants and highest in toddlers.
In children aged 2–6 years, alpha power increased; however, spectral variability remained high. In a cohort of children aged 6 months to 12 years, Kim et al. [18] reported that the BIS and PSI correlated only fairly (r = 0.43), with both indices being weakly associated with age-adjusted end-tidal sevoflurane concentrations, particularly in children aged 2–7 years. Jang et al. [19] further demonstrated that while the BIS and PSI could discriminate state transitions (maintenance vs. emergence), absolute values correlated poorly with sevoflurane concentration.
Overall, in children, especially those aged < 6–7 years, absolute pEEG thresholds should not be used in isolation. Because age-specific calibration is lacking and interindividual variability is large, interpretation is intrinsically challenging. Hence, trend tracking, along with raw EEG and spectrogram reviews, is essential for accurate depth assessment.

EFFECT OF pEEG-GUIDED ANESTHESIA ON POD AND EA: EVIDENCE FROM INTERVENTIONAL TRIALS

Older population

The concept of pEEG-guided anesthesia as a strategy to reduce POD in older surgical patients has been extensively tested. The ENGAGES trial enrolled 1,232 adults aged ≥ 60 years undergoing major noncardiac surgery to test whether BIS-guided anesthesia with targeting BIS ≥ 40 and minimizing BS would reduce POD [20]. Although the intervention group received lower end-tidal anesthetic concentrations and had a shorter BS duration, the incidence of POD was not significantly reduced. In contrast, a BALANCED trial substudy involving 515 patients aged ≥ 60 years compared light anesthesia (target BIS 50) with deep anesthesia (target BIS 35). They found that the light anesthesia group had a significantly lower incidence of POD and less cognitive decline 1 year postoperatively, suggesting potential long-term benefits of avoiding excessive anesthetic depth [21]. A meta-analysis of nine RCTs, including these large multicenter trials, concluded that pEEG-guided anesthesia or intentionally lighter depth management modestly reduces POD risk compared with standard care [22]. The incidence of POD in the pEEG-guided or lighter-target group was 19.0% (440/2,310) compared with 23.3% (545/2,338) in usual care or deeper targets (pooled odds ratio = 0.78; 95% confidence interval, 0.60–1.00; P = 0.054). Although the effect size was small, accumulating evidence suggests that pEEG index-guided anesthesia contributes to reducing POD by avoiding unnecessary deep anesthesia and prolonged BS in older patients.

Pediatric population

In children, randomized evaluations of pEEG-guided anesthesia have produced inconsistent effects on the emergence phenomena, even when dosing becomes more disciplined under guidance. The earliest trial, reported in 2010, randomized children aged 2–12 years undergoing propofol total intravenous anesthesia (TIVA) to either BIS-guided care (targeting 45–60) or routine practice. They found no reduction in EA or improvement in the recovery profile without a difference in propofol amount [23]. In a subsequent trial of children aged 2–8 years undergoing ophthalmic surgery under sevoflurane anesthesia, BIS targets of 40–45 (deep) and 55–60 (light) were compared [24]. The study found that lighter targeting did not significantly reduce EA, underscoring that merely driving a higher index does not translate into better emergent behavior. In a randomized trial of 375 children aged 1–3 years undergoing propofol–remifentanil TIVA, BIS-guided care (target 45–60) did not shorten extubation time or post-anesthesia care unit (PACU) stay compared with standard practice, and propofol consumption was higher [25]. In contrast, a randomized, double-blind trial in 163 preschool children aged 3–8 years undergoing endoscopic adenoidectomy with sevoflurane found that BIS-guided anesthesia (target 40–60) reduced the incidence of emergence delirium (ED) and produced lower pediatric anesthesia emergence delirium (PAED) scores with lower volatile exposure than standard care with maintenance of 1–1.2 MAC [26]. The most recent randomized trial in children aged 4–18 years comparing BIS-guided anesthesia (target 45–60) with standard care without pEEG monitoring showed a lower incidence of EA, greater readiness for discharge, and consistently lower volatile anesthetic exposure [27].
Overall, the effects of BIS-guided anesthesia in children are inconsistent. A reduction in EA was reported in a single-center trial, whereas several RCTs, including a recent multicenter study, found no difference between EA and standard care. Similarly, anesthetic consumption is mixed; some studies have observed lower end-tidal sevoflurane concentrations with BIS guidance, while others have reported no reduction or even higher propofol use in TIVA cohorts. Overall, routine BIS guidance in pediatric anesthesia cannot be recommended at present, although future trials may better define its role in improving recovery (Table 3).

ASSOCIATION OF INTRAOPERATIVE EEG FEATURES WITH POSTOPERATIVE NEUROCOGNITIVE COMPLICATIONS

BS and alpha power as markers of vulnerability to POD

Multiple intraoperative EEG parameters have been reported as potential predictors of POD; however, most have not been robustly validated. Thus far, BS and alpha oscillations have been established as complementary intraoperative EEG markers of brain vulnerability.
BS represents profound cortical inactivation that occurs more readily and for longer durations in older or cognitively vulnerable patients, plausibly disrupting thalamocortical communication during the perioperative period [3-5]. It has been extensively studied in relation to POD. In a recent meta-analysis of 14 studies (n = 6,435), intraoperative BS was associated with higher odds of POD (odds ratio 1.49) [28]. Continuous measures (e.g., suppression ratio or cumulative suppression time) were more informative than binary present/absent definitions. These data support the minimization of unnecessary deep anesthesia and exposure to BS, particularly in vulnerable older adults, and favor monitoring strategies that track the suppression burden rather than using index thresholds alone.
Frontal alpha power during GABAergic anesthesia reflects the capacity of thalamocortical circuits to generate coherent rhythmic activity [29]. The attenuation of this signal has repeatedly been associated with adverse cognitive trajectories in clinical research. In an observational cohort of older surgical patients, those who developed postoperative subsyndromal delirium showed markedly lower absolute and relative alpha powers during maintenance anesthesia, and the relative alpha fraction discriminated the risk with high accuracy [30]. These associations persisted after accounting for the anesthetic dose (i.e., not explained by deeper anesthesia). Similarly, Kinoshita et al. [31]’s observational study of 80 patients undergoing highly invasive cancer surgery under propofol TIVA demonstrated that a lower perioperative relative alpha ratio measured up to 21 h after anesthesia induction was independently associated with POD, with a greater predictive value than inflammatory markers. In a more recent prospective study of 151 patients, Pollak et al. [32] showed that reduced frontal alpha power could identify patients at risk of POD within 1 min of loss of consciousness. Finally, in the pooled analyses of three prospective cohorts (n = 82), the dose-adjusted intraoperative alpha power independently predicted POD and slower postoperative processing speed [33]. Overall, diminished alpha power appears to be a reproducible marker of POD risk in older adults, and multiple studies have indicated that this association is not solely explained by anesthetic depth.

Mediating role in the development of POD

Beyond simple prediction, several mediation analyses have indicated that intraoperative EEG phenotypes transmit part of the effect of preexisting vulnerability to POD. In a retrospective substudy of the MINDDS trial of older patients (aged > 60 years) undergoing cardiac surgery (n = 159), BS occurring during cardiopulmonary bypass (CPB) mediated the relationships between lower preoperative physical function, lower nadir CPB temperature, reduced intraoperative alpha power, and POD. This finding supports BS as a mechanistic pathway rather than a mere correlate [34]. In the secondary analysis of the ENGAGES trial (n = 1,113), preoperative cognitive abnormalities increased POD risk, and a small but statistically significant portion of this effect was transmitted through intraoperative EEG suppression [35]. Randomization to EEG-guided care did not materially change the mediating effect. In a prospective study of 252 older patients aged 65 years or older receiving noncardiac surgery under propofol TIVA, cumulative EEG suppression time mediated approximately 24% of the association between preoperative frailty and delirium severity. This result further implicates suppression as a causal conduit from physiological vulnerability to POD [36]. More recently, a prospective study of 138 orthopedic patients aged 60 years or older receiving propofol TIVA demonstrated that diabetes was associated with up to 3.2 times higher POD odds and low intraoperative frontal alpha power partially mediated this relationship (approximately 20%). This finding suggests that deficient alpha generation under anesthesia contributes to delirium risk in metabolically vulnerable brains [37]. Collectively, these analyses support a mechanistic model in which excessive cortical inactivation and attenuated anesthetic-induced alpha oscillations carry part, but not all, of the risk conferred by physical and cognitive impairments that increase susceptibility to POD. These findings underscore the importance of minimizing unnecessary suppression and preserving intraoperative alpha activity while also addressing upstream vulnerabilities such as frailty and cognitive impairment.

EEG features and EA in children

Evidence of pediatric EEG predictors of EA remains limited and heterogeneous. In a study of 97 children aged 0.5–8 years undergoing strabismus surgery with propofol or sevoflurane induction and sevoflurane maintenance, Koch et al. [38] reported that neither the occurrence nor the duration of BS was associated with EA. A further trial examining the association of multiple BS metrics under anesthesia with postoperative awakening delirium and other adverse outcomes in a similar age group is ongoing [39].
Spectral analyses of emergence yielded mixed results. In a study of 2–10-year-old children recovering from sevoflurane anesthesia, Kim et al. [40] reported that higher frontal delta and lower alpha–beta power correlated with greater EA severity. In contrast, a 2016 randomized trial of 29 children aged 1–6 years found that greater alpha power and lower theta power during emergence from sevoflurane anesthesia were associated with a higher incidence of EA [41].
Overall, in children under 10 years of age, neither intraoperative EEG suppression nor alpha-band changes at emergence could be used as standalone predictors of EA.

Spectrogram- and raw EEG-guided anesthesia

Given the emerging links between intraoperative EEG suppression/alpha attenuation and postoperative neurocognitive disorders, real-time interpretation of spectrograms and raw EEG has been proposed as an alternative to relying solely on pEEG indices. This method would enable anesthesiologists to promote desirable patterns, such as sustained frontal alpha activity, while avoiding maladaptive features such as BS or excessive slowing.
In a recent retrospective study of 140 adults undergoing elective craniotomy with propofol-based TIVA, spectrogram-guided titration, aimed at sustaining robust frontal alpha power while avoiding BS, was associated with lower anesthetic consumption, fewer delayed-emergence events, and better in-hospital functional status compared with BIS-guided care (target 40–60). However, delirium outcomes were unchanged [42]. Gaskell et al. [43] proposed a protocol for a randomized trial that would test an explicit alpha-maintenance strategy through targeted volatile anesthetic titration with adjunct opioid boluses against SE or BIS-guided standard care, with PACU delirium and early cognitive recovery as the planned outcomes. He et al. [44] conducted a randomized trial in 125 adults aged 60 years or older using raw EEG guidance to maintain a stable slow–delta pattern rather than targeting alpha activity. They found no reduction in POD compared with the standard titration based on vital signs. Even in that trial, reduced frontal alpha power was independently associated with delirium, emphasizing its potential mechanistic relevance despite not being a treatment target.
Pediatric data are also mixed. A randomized trial in boys aged 2–12 years has shown that sevoflurane anesthesia targeting 10–15 Hz SEF with strict avoidance of BS reduced the occurrence of ED and improved the recovery profile with lower volatile exposure than standard clinical titration [45]. In contrast, a randomized trial of 190 children aged 1–6 years who titrated sevoflurane to maintain continuous slow–delta oscillations and avoid suppression (with PSI 25–50 when feasible) achieved lower end-tidal concentrations and reduced EEG suppression. However, no difference was observed in PAED score or other recovery profiles [46]. A pediatric protocol is currently underway to evaluate whether maintaining an alpha-/delta-dominant frontal pattern and avoiding suppression reduces EA and improves recovery metrics [47].
Overall, the spectrogram- and raw EEG-guided approaches are feasible and biologically motivated. Adult and pediatric trials suggest anesthetic-sparing effects, whereas the effects on postoperative neurocognitive disorders remain heterogeneous and likely depend on the specific EEG, patient age, and surgical context. Table 4 summarizes available adult and pediatric studies.

CONCLUSION

Age-specific variations in intraoperative EEG data provide critical insights into the vulnerability of the brain to anesthesia. pEEG indices offer practical guidance but become less reliable in very young and older patients because they fail to fully capture developmental and aging trajectories. Therefore, anesthetic titration should be informed by age-adjusted interpretation, with greater reliance on raw EEG and spectrograms to identify physiological patterns, detect BS, and preserve alpha activity. Integrating these approaches may improve monitoring precision and support safer anesthetic care across the lifespan.

Notes

FUNDING

None.

CONFLICTS OF INTEREST

Young Song has been the editor of the Anesthesia and Pain Medicine since 2024. However, He was not involved in the peer reviewer selection, evaluation, or decision process of this article. No other potential conflicts of interest relevant to this article were reported.

DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

REFERENCES

1. Niedermeyer E, Lopes da Silva FH. Electroencephalography: basic principles, clinical applications, and related fields. 5th ed. Philadelphia: Lippincott Williams & Wilkins;2005.
2. Akeju O, Westover MB, Pavone KJ, Sampson AL, Hartnack KE, Brown EN, et al. Effects of sevoflurane and propofol on frontal electroencephalogram power and coherence. Anesthesiology. 2014; 121:990–8. DOI: 10.1097/aln.0000000000000436. PMID: 25233374.
crossref
3. Ching S, Purdon PL, Vijayan S, Kopell NJ, Brown EN. A neurophysiological-metabolic model for burst suppression. Proc Natl Acad Sci U S A. 2012; 109:3095–100. DOI: 10.1073/pnas.1121461109. PMID: 22323592.
crossref
4. Shao YR, Kahali P, Houle TT, Deng H, Colvin C, Dickerson BC, et al. Low frontal alpha power is associated with the propensity for burst suppression: an electroencephalogram phenotype for a "vulnerable brain". Anesth Analg. 2020; 131:1529–39. DOI: 10.1213/ane.0000000000004781. PMID: 33079876.
crossref
5. Plummer GS, Ibala R, Hahm E, An J, Gitlin J, Deng H, et al. Electroencephalogram dynamics during general anesthesia predict the later incidence and duration of burst-suppression during cardiopulmonary bypass. Clin Neurophysiol. 2019; 130:55–60. DOI: 10.1016/j.clinph.2018.11.003. PMID: 30476711.
crossref
6. Akeju O, Pavone KJ, Thum JA, Firth PG, Westover MB, Puglia M, et al. Age-dependency of sevoflurane-induced electroencephalogram dynamics in children. Br J Anaesth. 2015; 115 Suppl 1:i66–76. DOI: 10.1093/bja/aev114. PMID: 26174303.
crossref
7. Cornelissen L, Kim SE, Lee JM, Brown EN, Purdon PL, Berde CB. Electroencephalographic markers of brain development during sevoflurane anaesthesia in children up to 3 years old. Br J Anaesth. 2018; 120:1274–86. DOI: 10.1016/j.bja.2018.01.037. PMID: 29793594.
crossref
8. Cornelissen L, Kim SE, Purdon PL, Brown EN, Berde CB. Age-dependent electroencephalogram (EEG) patterns during sevoflurane general anesthesia in infants. Elife. 2015; 4:e06513. DOI: 10.7554/elife.06513. PMID: 26102526.
crossref
9. Purdon PL, Pavone KJ, Akeju O, Smith AC, Sampson AL, Lee J, et al. The ageing brain: age-dependent changes in the electroencephalogram during propofol and sevoflurane general anaesthesia. Br J Anaesth. 2015; 115 Suppl 1:i46–57. DOI: 10.1093/bja/aev213. PMID: 26174300.
crossref
10. Kratzer S, Schneider M, Obert DP, Schneider G, García PS, Kreuzer M. Age-related EEG features of bursting activity during anesthetic-induced burst suppression. Front Syst Neurosci. 2020; 14:599962. DOI: 10.3389/fnsys.2020.599962. PMID: 33343307.
crossref
11. Obert DP, Schweizer C, Zinn S, Kratzer S, Hight D, Sleigh J, et al. The influence of age on EEG-based anaesthesia indices. J Clin Anesth. 2021; 73:110325. DOI: 10.1016/j.jclinane.2021.110325. PMID: 33975095.
crossref
12. Obert DP, Schneider F, Schneider G, von Dincklage F, Sepulveda P, García PS, et al. Performance of the SEDLine monitor: age dependency and time delay. Anesth Analg. 2023; 137:887–95. DOI: 10.1213/ane.0000000000006369. PMID: 36727845.
crossref
13. Biggs D, Boncompte G, Pedemonte JC, Fuentes C, Cortinez LI. The effect of age on electroencephalogram measures of anesthesia hypnosis: a comparison of BIS, Alpha Power, Lempel-Ziv complexity and permutation entropy during propofol induction. Front Aging Neurosci. 2022; 14:910886. DOI: 10.3389/fnagi.2022.910886. PMID: 36034131.
crossref
14. Ebensperger M, Kreuzer M, Kratzer S, Schneider G, Schwerin S. Impact of age on the reliability of GE Entropy™ module indices for guidance of maintenance of anaesthesia in adult patients: a single-centre retrospective analysis. Br J Anaesth. 2025; 134:1077–87. DOI: 10.1016/j.bja.2024.11.050. PMID: 39909799.
crossref
15. Tokuwaka J, Satsumae T, Mizutani T, Yamada K, Inomata S, Tanaka M. The relationship between age and minimum alveolar concentration of sevoflurane for maintaining bispectral index below 50 in children. Anaesthesia. 2015; 70:318–22. DOI: 10.1111/anae.12890. PMID: 25271891.
crossref
16. Ricci Z, Robino C, Rufini P, Cumbo S, Cavallini S, Gobbi L, et al. Monitoring anesthesia depth with patient state index during pediatric surgery. Paediatr Anaesth. 2023; 33:855–61. DOI: 10.1111/pan.14711. PMID: 37334678.
crossref
17. Sciusco A, Standing JF, Sheng Y, Raimondo P, Cinnella G, Dambrosio M. Effect of age on the performance of bispectral and entropy indices during sevoflurane pediatric anesthesia: a pharmacometric study. Paediatr Anaesth. 2017; 27:399–408. DOI: 10.1111/pan.13086. PMID: 28211134.
crossref
18. Kim D, Kim J, Kim I, Gil NS, Shin YH, Jeong JS. Correlation between bispectral index and patient state index in children under sevoflurane anesthesia. Paediatr Anaesth. 2022; 32:740–6. DOI: 10.1111/pan.14422. PMID: 35191119.
crossref
19. Jang YE, Kim EH, Lee JH, Kim JT, Kim HS. Usefulness of bispectral index and patient state index during sevoflurane anesthesia in children: a prospective observational study. Medicine (Baltimore). 2022; 101:e29925. DOI: 10.1097/md.0000000000029925. PMID: 35905224.
crossref
20. Wildes TS, Mickle AM, Ben Abdallah A, Maybrier HR, Oberhaus J, Budelier TP, et al. ENGAGES Research Group. Effect of electroencephalography-guided anesthetic administration on postoperative delirium among older adults undergoing major surgery: the ENGAGES randomized clinical trial. JAMA. 2019; 321:473–83. DOI: 10.1001/jama.2018.22005. PMID: 30721296.
crossref
21. Evered LA, Chan MTV, Han R, Chu MHM, Cheng BP, Scott DA, et al. Anaesthetic depth and delirium after major surgery: a randomised clinical trial. Br J Anaesth. 2021; 127:704–12. DOI: 10.1016/j.bja.2021.07.021. PMID: 34465469.
crossref
22. Sumner M, Deng C, Evered L, Frampton C, Leslie K, Short T, et al. Processed electroencephalography-guided general anaesthesia to reduce postoperative delirium: a systematic review and meta-analysis. Br J Anaesth. 2023; 130:e243–53. DOI: 10.1016/j.bja.2022.01.006. PMID: 35183345.
crossref
23. Bhardwaj N, Yaddanapudi S. A randomized trial of propofol consumption and recovery profile with BIS-guided anesthesia compared to standard practice in children. Paediatr Anaesth. 2010; 20:160–7. DOI: 10.1111/j.1460-9592.2009.03240.x. PMID: 20078813.
crossref
24. Frederick HJ, Wofford K, de Lisle Dear G, Schulman SR. A randomized controlled trial to determine the effect of depth of anesthesia on emergence agitation in children. Anesth Analg. 2016; 122:1141–6. DOI: 10.1213/ane.0000000000001145. PMID: 26771265.
crossref
25. Liu G, Zhang J, Wang F, Li L, Zhang X. Effect of bispectral index-guided total intravenous anesthesia in younger children: a prospective, randomized, controlled trial. front neurol. 2022; 13:1028582. DOI: 10.3389/fneur.2022.1028582. PMID: 36438978.
crossref
26. Frelich M, Lečbychová K, Vodička V, Ekrtová T, Sklienka P, Jor O, et al. Effect of BIS-guided anesthesia on emergence delirium following general anesthesia in children: a prospective randomized controlled trial. Anaesth Crit Care Pain Med. 2024; 43:101318. DOI: 10.1016/j.accpm.2023.101318. PMID: 37918790.
crossref
27. Templeton TW, Alex G, Eloy JD, Stollings L, Ing RJ, Cheon EC, et al. BTiger Study Group. BIS guided titration of sevoflurane in pediatric patients undergoing elective surgery: a randomized controlled trial. Paediatr Anaesth. 2025; 35:277–86. DOI: 10.1111/pan.15057. PMID: 39754470.
28. Park SK, Han DW, Chang CH, Jung H, Kang H, Song Y. Association between intraoperative electroencephalogram burst suppression and postoperative delirium: a systematic review and meta-analysis. Anesthesiology. 2025; 142:107–20. DOI: 10.1097/aln.0000000000005255. PMID: 39388595.
crossref
29. Purdon PL, Pierce ET, Mukamel EA, Prerau MJ, Walsh JL, Wong KF, et al. Electroencephalogram signatures of loss and recovery of consciousness from propofol. Proc Natl Acad Sci U S A. 2013; 110:E1142–51. DOI: 10.1073/pnas.1221180110. PMID: 23487781.
crossref
30. Gutierrez R, Egaña JI, Saez I, Reyes F, Briceño C, Venegas M, et al. Intraoperative low alpha power in the electroencephalogram is associated with postoperative subsyndromal delirium. Front Syst Neurosci. 2019; 13:56. DOI: 10.3389/fnsys.2019.00056. PMID: 31680886.
crossref
31. Kinoshita H, Saito J, Kushikata T, Oyama T, Takekawa D, Hashiba E, et al. The perioperative frontal relative ratio of the alpha power of electroencephalography for predicting postoperative delirium after highly invasive surgery: a prospective observational study. Anesth Analg. 2023; 137:1279–88. DOI: 10.1213/ane.0000000000006424. PMID: 36917508.
crossref
32. Pollak M, Leroy S, Röhr V, Brown EN, Spies C, Koch S. Electroencephalogram biomarkers from anesthesia induction to identify vulnerable patients at risk for postoperative delirium. Anesthesiology. 2024; 140:979–89. DOI: 10.1097/aln.0000000000004929. PMID: 38295384.
crossref
33. Reese M, Wright MC, Roberts KC, Browndyke JN, Bennett M, Acker L, et al. Associations between anaesthetic dose-adjusted intraoperative EEG alpha power, processing speed, and postoperative delirium: analysis of data from three prospective studies. Br J Anaesth. 2025; 135:109–20. DOI: 10.1016/j.bja.2024.12.041. PMID: 40221315.
crossref
34. Pedemonte JC, Plummer GS, Chamadia S, Locascio JJ, Hahm E, Ethridge B, et al. Electroencephalogram burst-suppression during cardiopulmonary bypass in elderly patients mediates postoperative delirium. Anesthesiology. 2020; 133:280–92. DOI: 10.1097/aln.0000000000003328. PMID: 32349072.
crossref
35. Fritz BA, King CR, Ben Abdallah A, Lin N, Mickle AM, Budelier TP, et al. ENGAGES Research Group. Preoperative cognitive abnormality, intraoperative electroencephalogram suppression, and postoperative delirium: a mediation analysis. Anesthesiology. 2020; 132:1458–68. DOI: 10.1097/ALN.0000000000003181. PMID: 32032096.
36. Fang PP, Shang ZX, Xu J, Hu J, Zhang SC, Fan YG, et al. Contribution of intraoperative electroencephalogram suppression to frailty-associated postoperative delirium: mediation analysis of a prospective surgical cohort. Br J Anaesth. 2023; 130:e263–71. DOI: 10.1016/j.bja.2022.11.002. PMID: 36503826.
crossref
37. Shang Z, Jiang Y, Fang P, Zhu W, Guo J, Li L, et al. The association of preoperative diabetes with postoperative delirium in older patients undergoing major orthopedic surgery: a prospective matched cohort study. Anesth Analg. 2024; 138:1031–42. DOI: 10.1213/ane.0000000000006893. PMID: 38335150.
crossref
38. Koch S, Stegherr AM, Rupp L, Kruppa J, Prager C, Kramer S, et al. Emergence delirium in children is not related to intraoperative burst suppression - prospective, observational electrography study. BMC Anesthesiol. 2019; 19:146. DOI: 10.1186/s12871-019-0819-2. PMID: 31395011.
crossref
39. Xu Q, Zhang J, Gao Z, Li S, Li G. Analysis of the relationship between EEG burst suppression and poor prognosis in children under general anaesthesia: study protocol for a prospective, observational, single-centre study. Trials. 2023; 24:481. DOI: 10.1186/s13063-023-07478-8. PMID: 37501064.
crossref
40. Kim J, Lee HC, Byun SH, Lim H, Lee M, Choung Y, et al. Frontal electroencephalogram activity during emergence from general anaesthesia in children with and without emergence delirium. Br J Anaesth. 2021; 126:293–303. DOI: 10.1016/j.bja.2020.07.060. PMID: 33010926.
crossref
41. Jang YE, Jeong SA, Kim SY, Song IK, Lee JH, Kim JT, et al. The efficacy of intraoperative EEG to predict the occurrence of emergence agitation in the postanesthetic room after sevoflurane anesthesia in children. J Perianesth Nurs. 2018; 33:45–52. DOI: 10.1016/j.jopan.2015.10.001. PMID: 29362046.
crossref
42. Lin FS, Shih PY, Sung CH, Chou WH, Wu CY. Electroencephalographic spectrogram-guided total intravenous anesthesia using dexmedetomidine and propofol prevents unnecessary anesthetic dosing during craniotomy: a propensity score-matched analysis. Korean J Anesthesiol. 2024; 77:122–32. DOI: 10.4097/kja.23118. PMID: 37211766.
crossref
43. Gaskell A, Pullon R, Hight D, Termaat J, Mans G, Voss L, et al. Modulation of frontal EEG alpha oscillations during maintenance and emergence phases of general anaesthesia to improve early neurocognitive recovery in older patients: protocol for a randomised controlled trial. Trials. 2019; 20:146. DOI: 10.1186/s13063-019-3178-x. PMID: 30795794.
crossref
44. He Z, Zhang H, Xing Y, Liu J, Gao Y, Gu E, et al. Effect of raw electroencephalogram-guided anesthesia administration on postoperative outcomes in elderly patients undergoing abdominal major surgery: a randomized controlled trial. BMC Anesthesiol. 2023; 23:337. DOI: 10.1186/s12871-023-02297-5. PMID: 37803259.
crossref
45. Han Y, Miao M, Li P, Yang Y, Zhang H, Zhang B, et al. EEG-parameter-guided anesthesia for prevention of emergence delirium in children. Brain Sci. 2022; 12:1195. DOI: 10.3390/brainsci12091195. PMID: 36138931.
crossref
46. Bong CL, Long MHY. Sevoflurane requirements during electroencephalogram (EEG)-guided vs standard anesthesia care in children: a randomized controlled trial. J Clin Anesth. 2023; 86:111071. DOI: 10.1016/j.jclinane.2023.111071. PMID: 36774668.
crossref
47. Suzuki Y, Miyasaka KW, Hayashi K, Takahashi O, Nagasaka Y. Protocol for a randomized controlled trial to reduce pediatric anesthesia emergence delirium by titration of sevoflurane anesthesia using brain function monitoring. Trials. 2023; 24:734. DOI: 10.1186/s13063-023-07785-0. PMID: 37974297.
crossref

Fig. 1.
Age-related evolution of frontal electroencephalography (EEG) spectrograms during sevoflurane anesthesia in infants. (A) Frontal EEG spectrograms (0–40 Hz) aligned by age in infants aged 0–40 months under steady-state sevoflurane anesthesia. Slow–delta activity is consistently present across all ages, while theta and alpha rhythms begin to appear from approximately 4 months of age and progressively strengthen with development. (B) Examples of frontal spectrograms from individual infants (1–37 months). Alpha oscillations become increasingly evident during the second half of infancy and show clear prominence after approximately 10 months. Power is color-coded on a decibel (dB) scale. Adapted from the article of Cornelissen et al. (Br J Anaesth 2018; 120: 1274-86) [7] with original copyright holder’s permission.
apm-25375f1.tif
Fig. 2.
Age-related decline of frontal alpha power during sevoflurane anesthesia in adults. (A) Age-varying frontal electroencephalography (EEG) spectrogram (0–40 Hz) recorded under steady-state sevoflurane anesthesia in adults aged 18–90 years. Prominent alpha activity (8–12 Hz) observed in younger patients progressively diminishes with advancing age. (B) Scatter plot of frontal alpha band power as a function of age. A linear regression model demonstrates a significant decline in alpha power across the adult lifespan (slope = –0.1505, r² = 0.4633). Adapted from the article of Purdon et al. (Br J Anaesth 2015; 115 Suppl 1: i46-57) [9] with original copyright holder’s permission.
apm-25375f2.tif
Table 1.
Age-Specific Frontal EEG Spectral Characteristics Under Sevoflurane Anesthesia
Age group Spectral feature Frontal coherence feature
Birth to 3 months Dominant slow and delta activity Slow–delta coherent
Theta and alpha nearly absent Alpha coherence is absent
3 months to 1 year Alpha emerges at 3–4 months and strengthens Slow–delta coherence diminishes after 6–8 months
Slow–delta persist Alpha coherence begins to appear approximately 10 months
1–6 years Alpha becomes prominent and rises steadily Frontal alpha coherence is robust and increases steadily
Slow–delta remain strong; theta present
Overall power is high and approaches the childhood peak (approximately5–8 years)
Marked interindividual variability
7–14 years Robust, stable alpha with spectra approaching adult-like patterns Strong and stable frontal alpha coherence
Slow–delta proportionally less dominant than in younger children
Overall power plateaus and stabilizes
Adolescents Strong slow–delta, theta, and alpha; but less prominent than the school age peak Frontal alpha coherence persists but begins to gradually attenuate
Overall power begins to gradually decline
Adults Broadband power declines with aging: alpha shows the steepest reduction, and slow–delta also decrease substantially, weakening low-frequency dominance Alpha coherence and peak frequency decrease significantly with age
Increased susceptibility to burst suppression in older adults

Data are summarized from previously published electroencephalography (EEG) analyses under sevoflurane anesthesia across the lifespan [6-9].

Table 2.
Age-Specific Considerations in Interpreting Processed EEG Indices
Study Population Anesthetic Indice Age-related effect/clinical implication
Kratzer et al., 2020 [10] 102 adults with initial BS (21–87 years) Propofol PE PE ↑, alpha power ↓ with age during BS/lower-amplitude and more irregular bursts in older adults may reduce BSR accuracy
Obert et al., 2021 [11] 180 adults (18–90 years) Sevoflurane BIS, SEF, qCON, SE, RE, Treaton, Narcotrend BIS, qCON, SE, RE ↑ with age (approximately0.2 index/year); SEF ↑ (approximately0.5 Hz/decade); Treaton ↓; Narcotrend no effect/indices-guided anesthesia may prompt inappropriately high dose of anesthetic in older adults
Biggs et al., 2022 [13] 30 adults (19–99 years) Propofol BIS, PE, LZc, SEF BIS, LZc, SEF higher in older adults; PE no effect; alpha power lower in older adults/age should be considered when interpreting BIS and LZc
Obert et al., 2023 [12] 141 adults (19–88 years) Sevoflurane, desflurane, or propofol PSI, SEF PSI ↑ with age (approximately0.2 index/year); SEF ↑ (approximately0.5 Hz/decade)/may result in higher doses of anesthetics than necessary in older adults
Ebensperger et al., 2025 [14] 14,770 adults (18–90 years) Sevoflurane, desflurane, or propofol SE, RE, BSR SE, RE ↑ with age; BSR not prevented in “adequate” range/sole reliance on the indices risks under-/overdosing of anesthetics
Tokuwaka et al., 2015 [15] 55 children (1 years/2–4 years/5–9 years) Sevoflurane BIS BIS > 50 despite high MAC in 1 year; MACBIS50 higher in 2–4 years than 5–9 years/BIS is unreliable in children aged < 2 years
Kim et al., 2022 [18] 71 children (6 months–2 years/2–7 years/8–12 years) Sevoflurane BIS, PSI Fair correlation of BIS and PSI at 1–2 MAC; not correlated in 2–7 years/although BIS and PSI are correlated, using them in children requires careful attention
Jang et al., 2022 [19] 50 children (3–12 years) Sevoflurane BIS, PSI Pk for distinguishing maintenance vs. recovery: BIS 0.85, PSI 0.87; agreement between BIS and PSI: 0.7–0.8; weak correlation with sevoflurane concentration, especially PSI/both indices can distinguish maintenance from recovery in children, although values may not precisely reflect anesthetic depth
Ricci et al., 2023 [16] 111 children (1–18 years) Sevoflurane, Propofol PSI Quite low PSI (26–28) and high incidence of BS (19%) during non-guided anesthesia; PSI higher in < 2 years vs. older children despite similar MAC/age-specific thresholds may be required
Sciusco et al., 2017 [17] 48 children (1–12 months/13–36 months/37 months to 12 years) Sevoflurane BIS, SE, RE Predictive performance of indices for sevoflurane concentration improved with age; infants: lowest accuracy and weak BIS–entropy correlation; toddlers highest values; children intermediate/usage in infants carries risk of misleading values

Data are summarized from published studies on age-related changes in processed EEG indices during GABAergic anesthesia; findings reflect group-level associations and may not directly indicate individual anesthetic depth. Note that BIS is FDA-cleared for adults and children aged ≥ 4 years but uses an adult-derived algorithm without pediatric-specific modifications. PSI is FDA-cleared for patients aged ≥ 1 year and incorporates pediatric adjustments. BIS: bispectral index, BS: burst suppression, BSR: burst suppression ratio, EEG: electroencephalography, LZc: Lempel–Ziv complexity, MAC: minimum alveolar concentration, MACBIS50: MAC at which BIS reached 50, pEEG: processed EEG, PE: permutation entropy, Pk: predictive probability, PSI: patient state index, qCON: quantitative consciousness index, RE: response entropy, SE: spectral entropy, SEF: spectral edge frequency.

Table 3.
Pediatric Randomized Trials of BIS-Guided Anesthesia and Recovery Outcomes
Study Population Anesthetic/surgery Intervention Impact on recovery Other impact
Bhardwaj and Yaddanapudi, 2010 [23] 50 children (2–12 years) Propofol TIVA/urogenital BIS-guided 45–60 vs. SBP < 20% of baseline No reduction in EA No difference in propofol amount
Recovery profiles similar
Frederick et al., 2016 [24] 40 children (2–8 years) Sevoflurane/ophthalmic Light (targeting BIS 55–60) vs. deep (targeting BIS 40–45) No significant difference in peak PAED score or EA incidence at PACU End-tidal sevoflurane concentration overlapped widely, indicating limited separation by dose
Transiently lower PAED scores during emergence
Liu et al., 2022 [25] 375 children (1–3 years) Propofol TIVA/urologic, orthopedic, or surgical oncology BIS-guided 45–60 vs. according to HR, BP, surgical stimulation No reduction in time to extubation or duration of PACU stay Greater amount of propofol administered
Frelich et al., 2024 [26] 163 children (3–8 years) Sevoflurane/endoscopic adenoidectomy BIS-guided 40–60 vs maintaining 1–1.2 MAC Lower EA incidence and PAED score Lower end-tidal sevoflurane concentration
Templeton et al., 2025 [27] 170 children (4–8 years/9–12 years/13–18 years) Sevoflurane/noncardiac BIS-guided 45–60 vs. according to clinical judgment No reduction in time to PACU discharge Lower end-tidal sevoflurane concentration across all age groups
Lower incidence of PAED > 10 and greater readiness for discharge across all age groups

Data are summarized from randomized controlled trials of BIS-guided anesthesia in pediatric populations. BIS: bispectral index, BP: blood pressure, EA: emergence agitation, HR: heart rate, MAC: minimum alveolar concentration, PACU: post-anesthesia care unit, PAED: pediatric anesthesia emergence delirium, TIVA: total intravenous anesthesia.

Table 4.
Representative Clinical Studies of Spectrogram- or Raw EEG-Guided Anesthesia in Adults and Children
Study Population Anesthetic/surgery Strategy Main finding
Lin et al., 2024 [42]; retrospective 140 adults Propofol TIVA/Elective craniotomy Spectrogram-guided: maintaining robust alpha vs. BIS-guided 40–60 Faster emergence and better early functional performance
No improvement in delirium profile
Gaskell et al., 2019 [43]; RCT protocol 600 older adults (aged ≥ 60 years) will be enrolled Desflurane anesthesia/noncardiac surgery Opioid and desflurane titration to maximize alpha power vs. BIS/SE-guided Effect on PACU delirium will be primarily assessed
Results pending
He et al., 2023 [44] 125 older adults (aged ≥ 60 years) Propofol TIVA/abdominal major surgery Raw EEG-guided titration to maintain robust delta oscillations vs. standard care No reduction in POD
Reduced time spent in BS
Lower alpha power was associated with higher POD risk
Han et al., 2022 [45] 37 boys (2–12 years) Sevoflurane/hypospadias surgery SEF (10–15 Hz)+spectrogram+raw EEG-guided (to avoid BS) vs. standard titration Lower incidence and severity of ED
Lower end-tidal sevoflurane concentration
Bong and Long, 2023 [46] 190 children (1–6 years) Sevoflurane/minor surgery Spectrogram-guided (to maintain continuous slow–delta oscillations, avoid BS, maintain PSI 25–50) vs. standard care Lower end-tidal sevoflurane concentration; Lower incidence of BS
Similar PAED score
Suzuki et al., 2023 [47]; RCT protocol 180 children (3–6 years) will be enrolled Sevoflurane/ENT/ophthalmic surgery Spectrogram+raw EEG-guided (to maintain alpha/delta dominant waveform feature) vs. standard care (to maintain 1.0 MAC) PAED score will be primarily assessed
Results pending

Data are summarized from representative clinical studies of spectrogram- or raw EEG-guided anesthesia in adults and children. BIS: bispectral index, BS: burst suppression, EA: emergence agitation, ED: emergence delirium, MAC: minimum alveolar concentration, PACU: post-anesthesia care unit, PAED: pediatric anesthesia emergence delirium, POD: postoperative delirium, PSI: patient state index, RCT: randomized controlled trial, SE: state entropy, SEF: spectral edge frequency.

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