This review offers a comprehensive guide for general intensivists on the utility of continuous EEG (cEEG) monitoring for critically ill patients. Beyond the primary role of EEG in detecting seizures, this review explores its utility in neuroprognostication, monitoring neurological deterioration, assessing treatment responses, and aiding rehabilitation in patients with encephalopathy, coma, or other consciousness disorders. Most seizures and status epilepticus (SE) events in the intensive care unit (ICU) setting are nonconvulsive or subtle, making cEEG essential for identifying these otherwise silent events. Imaging and invasive approaches can add to the diagnosis of seizures for specific populations, given that scalp electrodes may fail to identify seizures that may be detected by depth electrodes or electroradiologic findings. When cEEG identifies SE, the risk of secondary neuronal injury related to the time-intensity \"burden\" often prompts treatment with anti-seizure medications. Similarly, treatment may be administered for seizure-spectrum activity, such as periodic discharges or lateralized rhythmic delta slowing on the ictal-interictal continuum (IIC), even when frank seizures are not evident on the scalp. In this setting, cEEG is utilized empirically to monitor treatment response. Separately, cEEG has other versatile uses for neurotelemetry, including identifying the level of sedation or consciousness. Specific conditions such as sepsis, traumatic brain injury, subarachnoid hemorrhage, and cardiac arrest may each be associated with a unique application of cEEG; for example, predicting impending events of delayed cerebral ischemia, a feared complication in the first two weeks after subarachnoid hemorrhage. After brief training, non-neurophysiologists can learn to interpret quantitative EEG trends that summarize elements of EEG activity, enhancing clinical responsiveness in collaboration with clinical neurophysiologists. Intensivists and other healthcare professionals also play crucial roles in facilitating timely cEEG setup, preventing electrode-related skin injuries, and maintaining patient mobility during monitoring.

OBJECTIVE: Periodic Discharges (PDs) in Status Epilepticus (SE) are historically related to negative outcome, and the Epidemiology-based Mortality Score in SE (EMSE) identifies PDs as an EEG feature associated with unfavorable prognosis. However, supportive evidence is conflicting. This study aims to evaluate the prognostic significance of interictal PDs during and following SE.
METHODS: All 2020-2023 non-hypoxic-ischemic SE patients with available EEG during SE were retrospectively assessed. Interictal PDs during SE (SE-PDs) and PDs occurring 24-72 h after SE resolution (post-SE-PDs) were examined. In-hospital death was defined as the primary outcome.
RESULTS: 189 SE patients were finally included. SE-PDs were not related to outcome, while post-SE-PDs were related to poor prognosis confirmed after multiple regression analysis. EMSE global AUC was 0.751 (95%CI:0.680-0.823) and for EMSE-64 cutoff sensitivity was 0.85, specificity 0.52, accuracy 63%. We recalculated EMSE score including only post-SE-PDs. Modified EMSE (mEMSE) global AUC was 0.803 (95%CI:0.734-0.872) and for mEMSE-64 cutoff sensitivity was 0.84, specificity 0.68, accuracy 73%.
CONCLUSIONS: Interictal PDs during SE were not related to outcome whereas PDs persisting or appearing > 24 h after SE resolution were strongly associated to unfavorable prognosis. EMSE performed well in our cohort but considering only post-SE-PDs raised specificity and accuracy for mEMSE64 cutoff.
CONCLUSIONS: This study supports the utility of differentiating between interictal PDs during and after SE for prognostic assessment.

Sepsis-associated encephalopathy (SAE) is frequent in septic patients. Electroencephalography (EEG) is very sensitive to detect early epileptic abnormalities, such as seizures and periodic discharges (PDs), and to quantify their duration (the so-called burden). However, the prevalence of these EEG abnormalities in septic patients, as well as their effect on morbidity and mortality, are still unclear. The aims of this study were to assess whether the presence of electrographic abnormalities (i.e. the absence of reactivity, the presence and burden of seizures and PDs) was associated with functional outcome and mortality in septic patients and whether these abnormalities were associated with sepsis-associated encephalopathy (SAE).
We prospectively included septic patients, without known chronic or acute intracranial disease or pre-existing acute encephalopathy, requiring ICU admission in a tertiary academic centre. Continuous EEG monitoring was started within 72 h after inclusion and performed for up to 7 days. A comprehensive assessment of consciousness and delirium was performed twice daily by a trained neuropsychologist. Primary endpoints were unfavourable functional outcome (UO, defined as a Glasgow Outcome Scale-Extended-GOSE-score < 5), and mortality collected at hospital discharge and secondary endpoint was the association of PDs with SAE. Mann-Whitney, Fisher\'s exact and χ2 tests were used to assess differences in variables between groups, as appropriate. Multivariable logistic regression analysis with in-hospital mortality, functional outcome, SAE or PDs as the dependent variables were performed.
We included 92 patients. No seizures were identified. Nearly 25% of patients had PDs. The presence of PDs and PDs burden was associated with UO in univariate (n = 15 [41%], p = 0.005 and p = 0.008, respectively) and, for PDs presence, also in multivariate analysis after correcting for disease severity (OR 3.82, IC 95% [1.27-11.49], p = 0.02). The PDs burden negatively correlated with GOSE (Spearman\'s coefficient ρ = - 0.2, p = 0.047). The presence of PDs was also independently associated with SAE (OR 8.98 [1.11-72.8], p = 0.04). Reactivity was observed in the majority of patients and was associated with outcomes (p = 0.044 for both functional outcome and mortality).
Our findings suggest that PDs and PDs burden are associated with SAE and might affect outcome in septic patients.

Objective. To analyze the EEG features of four subacute sclerosing panencephalitis cases in North China. Methods. We retrospectively analyzed the EEG features in four patients with subacute sclerosing panencephalitis and 12 patients in control group from North China. Results. The periodic long-interval diffuse discharges were found in all of the four cases with subacute sclerosing panencephalitis. The morphology and component of periodic complexes were varied in different patients and different wakefulness states. Some EEG parameter settings help to identify periodic long-interval diffuse discharges including the slowed sweep speed, decreased sensitivity and reduced number of montages. In each patient with subacute sclerosing panencephalitis, the periodic long-interval diffuse discharges associated with two types of brief episodes (1:1) during awake period were found and none of the patients in the control group had this EEG pattern. The score system based on the periodic discharges and brief episodes also shows that all the patients with SSPE reached score 5 while none of the patients in the control group has a score greater than 3, which suggests that this EEG pattern may have diagnostic value. Conclusions. In subacute sclerosing panencephalitis, the morphology and component of periodic long-interval diffuse discharges were varied in different patients and different wakefulness states. Specific EEG parameter settings help to identify periodic long-interval diffuse discharges. Periodic long-interval diffuse discharges associated with two types of brief episodes (1:1) during awake period may strongly suggest the diagnosis of subacute sclerosing panencephalitis.

Triggering or modulation of seizures and rhythmic EEG patterns by external stimuli are well-known with the most common clinical appearance of stimulus induced periodic discharges (SI- PDs) patterns which are elicited by physical or auditory stimulation. However, stimulus terminated periodic discharges (ST-PDs), in other words, the periodic discharges stopped by external stimuli is an extremely rare electroencephalographic (EEG) finding. We report a 20-year-old woman with a marked psychomotor developmental delay of unknown cause, with frequent EEG patterns of long-lasting (10-60 s) bilateral paroxysmal high-voltage slow waves with occasional spikes, misdiagnosed as non-convulsive status epilepticus. However, no apparent clinical change was noted by the technician, physician, and her mother during these subclinical ictal EEG recordings. Interestingly, however, these epileptic discharges were abruptly interrupted by sudden verbal stimuli on the EEG, repeatedly. Whole exome sequencing and genotyping were performed to investigate possible genetic etiology that revealed two sequence variants, a frameshift variant of CACNA1H NM_021098.3:c.1701del;p.Asp568ThrfsTer15 and a missense variant of GRIN2D NM_000836.4:c.1783A>T;p.Thr595Ser as well as a copy number variant part deletion of ATP6V1A gene arr [hg19]3q13.31(113,499,698_113,543,081)x1 as possible pathogenic candidates. The subclinical periodic discharges terminated by verbal stimuli, is a very rare manifestation and needs particular attention. External modulation of ictal-appearing EEG patterns is important to identify stimulus terminated EEG patterns.

A 75-year-old man with a history of temporal lobe epilepsy (treated with levetiracetam) was transferred to our hospital because of loss of consciousness. At admission, he was drowsy and exhibited myoclonus on the left side of face. We established a diagnosis of status epilepticus and started treatment with levetiracetam, fosphenytoin, and midazolam. FLAIR and DWI showed hyperintensity in the right cerebral cortex. Electroencephalography (EEG) showed lateralized periodic discharges (LPDs) at the right hemisphere, indicative of non-convulsive status epilepticus (NCSE). He regained consciousness after treatment with anti-epileptic drugs but showed persistent LPDs in EEG. MRI arterial spin labeling (ASL) showed normal perfusion in the right hemisphere; therefore, he was deemed to have recovered from status epilepticus and transferred to the rehabilitation hospital. MRI ASL is useful for diagnosing recovery from NCSE irrespective of sustained periodic discharges on EEG.

To investigate death-related factors in patients with electroencephalographic (EEG) periodic discharges (PDs) and to construct a model for death prediction.
This case-control study enrolled a total of 80 severe neurological disease patients with EEG PDs within 72 h of admission to the neuroscience intensive care unit (NICU). According to modified Rankin scale (mRS) scores half a year after discharge, patients were divided into a survival group (<6 points) and a death group (6 points). Their relevant clinical and biochemical indicators as well as EEG characteristics were retrospectively analyzed. Logistic regression analysis was used to identify the risk factors associated with the death of patients with EEG PDs. A death risk prediction model and an individualized nomogram prediction model were constructed, and the prediction performance and concordance of the models were evaluated.
Multivariate logistic regression analysis showed that the involvement of both gray and white matter in imaging, disappearance of EEG reactivity, occurrence of stimulus-induced rhythmic, periodic, or ictal discharges (SIRPIDs), and an interval time of 0.5-4 s were independent risk factors for death. A regression model was established according to the multivariate logistic regression analysis, and the area under the curve of this model was 0.9135. The accuracy of the model was 87.01%, the sensitivity was 87.17%, and the specificity was 89.17%. A nomogram model was constructed, and a concordance index of 0.914 was obtained after internal validation.
The regression model based on risk factors has high accuracy in predicting the risk of death of patients with EEG PDs.
This model can help clinicians in the early assessment of the prognosis of severe neurological disease patients with EEG PDs.

Introduction: A retrospective analysis of 151 patients with hepatic encephalopathy (HE) who were admitted to the liver intensive care unit (LICU) and liver transplant intensive care unit (TICU) and underwent electroencephalographic (EEG) testing was performed. We describe a method of grading the EEGs of patients with HE and predicting their subsequent outcomes. Methods: All liver failure patients with HE who underwent routine EEG testing in the LICU or TICU between October 1, 2018 and March 31, 2019, at the Institute of Liver and Biliary Sciences (ILBS) were enrolled in this analysis. The data was analyzed using Statistical Package for the Social Sciences (SPSS). The patients were divided into four grades of HE based on established EEG criteria (HE-EEG). Results: One hundred fifty-one patients [127 Male (84%), 24 Female (16%)] with HE who underwent EEG testing were enrolled. Ages ranged from 3 to 74 years, with a mean age of 48.34 years and median interquartile range (IQR) of 49 years (38-60 years). Ninety-five patients (62.9%) had grade 1 and 2 hepatic encephalopathy, with a statistically significant, worse outcome seen in grades 3 and 4 HE patients. Seizures were seen in 30 (20.1%) of HE patients. Fifteen of 30 patients with seizures (50%) were in the ethanol and nonalcoholic steatohepatitis (NASH) groups. Forty-four of 59 (74.6%) MRIs and 35 of 60 (58.3%) CTs demonstrated some type of brain abnormality in these patients. Imaging abnormalities and the presence of seizures did not contribute to a statistically worse outcome. Conclusion: EEG has an important role in predicting the outcome and prognosis in HE. Patients with grade 3 or 4 HE-EEG, or with progressive worsening of HE-EEG grading were associated with the highest mortality rates.

OBJECTIVE: Lateralized periodic discharges (LPDs), which constitute an abnormal electroencephalographic (EEG) pattern, are most often observed in critically ill patients with acute pathological conditions, and are less frequently observed in chronic conditions such as focal epilepsies, including temporal lobe epilepsy (TLE). Here we aim to explore the pathophysiological mechanism of LPD in TLE.
METHODS: We retrospectively selected 3 patients with drug-resistant TLE who simultaneously underwent EEG and electrocorticography (ECoG) and demonstrated LPDs. We analyzed the correlation between the EEG and ECoG findings.
RESULTS: In patients 1 and 2, LPDs were recorded in the temporal region of the scalp during the interictal periods, when repeated spikes followed by slow waves (spike-and-wave complexes; SWs) and periodic discharges (PDs) with amplitudes of >600 to 800 µV appeared in the lateral temporal lobe over a cortical area of >10 cm2. In patient 3, when the ictal discharges persisted and were confined to the medial temporal lobe, repeated SWs were provoked on the lateral temporal lobe. When repeated SWs with amplitudes of >800 µV appeared in an area of the lateral temporal lobe of >10 cm2, the corresponding EEG discharges appeared on the temporal scalp.
CONCLUSIONS: LPDs in patients with TLE originate from repeated SWs and PDs of the lateral temporal lobe, which might represent a highly irritable state of the lateral temporal cortex during both interictal and ictal periods.

Periodic lateralized epileptiform discharges (PLEDs) or lateralized periodic discharges (LPDs) are a well-known variant of pathological EEG activity. However, the mechanisms underpinning the appearance of this pattern are not completely understood. The heterogeneity of the features derived from LPDs patterns, and the wide range of pathological conditions in which they occur, raise a question about the unifying mechanisms underlying these phenomena. This paper reassesses the current opinion surrounding LPDs which considers glutamate excitotoxicity to be the primary pathophysiological basis, and the penumbral region to be the main morphological substrate. Arguments in favour of this hypothesis are presented, with interpretations supported by evidence from recent literature involving clinical and experimental data. Presently, no single hypothesis places considerable emphasis on the pathochemical properties of LPDs, which are implicitly meaningful towards better understanding of the clinical significance of this pattern.