Triphasic waves in electroencephalogram as a possible early marker of carcinomatous meningitis: a case report

Spectrum of EEG Findings in Patients with Leptomeningeal Carcinomatosis and Seizures: Correlation with Neurodiagnostic Results and Outcome

Purpose: Leptomeningeal carcinomatosis (LC) is a devastating condition in patients with systemic malignancies or primary brain tumors. Although much is known about neuro-radiologic investigations, there is very little information about EEG findings in these patients. Whether EEG is correlated with cranial magnetic resonance imaging (MRI) results and survival has not been investigated. Methods: Medical records of 2340 adult patients with the diagnosis of brain tumor, either metastatic (Group 1) or primary (Group 2), between 2000-2021 were reviewed for the presence of LC and seizures. Demographic and clinical features, laboratory results and Karnofsky performance scores of included patients were noted. Available routine EEG recordings were re-evaluated. Any possible correlation between EEG findings-MRI and EEG findings-survival were investigated statistically. Results: Sixty-six patients with LC and seizures were identified. The most common malignancies were lung cancer and glioblastoma multiforme. Twenty-six EEG recordings of 17 patients in Group 1, and 13 EEGs of 9 patients in Group 2 were available for final analysis. The most common EEG characteristic was background slowing (73%). The most frequent findings were rhythmic periodic patterns or spike wave activity (27%). Sporadic epileptiform discharges (8%) or ictal recordings (4%) were very rare. None of the EEG features correlated with MRI results or survival. Conclusion: There are various EEG patterns in patients with LC and seizures. The most common findings are related to background activity, with rhythmic periodic patterns or spike wave activity being observed less commonly. EEG characteristics do not predict MRI findings or survival.

Quantitative Electroencephalography Indicators in Children with Acute Purulent Meningitis

The aim of the present work was to assess the state of brain bioelectrical activity in children during the acute period of bacterial purulent meningitis, with quantitative mathematical analysis of the changes found. The studies included 31 children on days 1 and 6 from onset of illness: 16 children (8.9 ± 2.4 years) admitted to the Pediatric Scientific Clinical Center for Infectious Diseases with laboratory confirmation of diagnoses of purulent meningitis (due to Neisseria meningitidis) (n = 11) or Streptomyces pneumoniae (n = 2) or unidentified pathogen (n = 3)), along with 15 healthy children. Electroencephalogram (EEG) traces were recorded from all these children in the state of calm waking using a Neuron-Spectrum 4/VP 16-channel electroencephalograph. Clinical assessment of the EEG included analysis of background rhythms, zonal differences, and detection of pathological types of activity. Quantitative analysis consisted of the mean power (μV²) and amplitude (μV) of the α, θ, and δ rhythms, along with mean power ratios – α/θ and α/δ. Visual analysis of the EEG in 100% of children in the acute period of purulent meningitis showed diffuse slowing with detection of δ and θ waves. Focal changes in the form of sharp waves were seen in 18.8% of cases (three patients). No cases displayed periodic activity. Meningitis patients showed significant reductions in the α/δ (p = 0.001) and α/θ (p = 0.048) spectral ratios. ROC analysis showed that the α/θ value was <0.18 and the α/δ value was <0.02 (sensitivity 100% and specificity 80%, AUROC 0.9), which may be evidence of the likely development of cerebral edema. Thus, pediatric patients with acute purulent meningitis showed significant impairments to the normal α/θ and α/δ rhythm power ratios on the EEG, which is presumptively explained by suppression of the functional activity of the thalamus and thalamocortical pathways, as well as the reticular formation of the brain.

Triphasic Waves: Historical Overview of an Unresolved Mystery

SUMMARY

Triphasic waves are a fascinating and mysterious EEG feature. We now have to accept that, at times, epileptiform discharges may have a blunted "triphasic morphology," and that there may be great difficulty in distinguishing between these often similar forms. The aim of this review was to describe the evolution in our understanding of triphasic waves that has occurred regarding the pathophysiology of triphasic waves, their most frequent causes, and the diagnostic difficulties involved in interpretation and differentiation from nonconvulsive status epilepticus.