Neurophysiol Clin
Ankara University, Faculty of Medicine, Neurology Department, Ankara, Turkey.
Published: February 2025
Objective: We aimed to explore the role of hyperventilation (HV) during routine EEG recordings in the diagnosis of adults with epilepsy.
Methods: During the COVID-19 pandemic we removed HV from routine EEG recordings due to the transmission risks. Routine EEGs conducted in the year before and after the COVID-19 pandemic were re-evaluated.
Results: A total of 167 HV + and 199 HV - EEGs were analyzed. To ensure comparability between the two groups with respect to age and conditions that could contraindicate HV, patients ≥ 55 years and with any conditions contraindicating HV were excluded from both groups. In patients with a diagnosis of epilepsy the prevalence of epileptiform abnormalities was 26.7 % in the HV + and 24.5 % in the HV - group (p = 0.727).
Conclusions: This study did not reveal any evidence indicating that HV improves the diagnostic sensitivity of routine EEG in adults with epilepsy. In adults, hyperventilation during routine EEG recordings may be most useful in incre in patients with a history of absence seizures or seizures triggered by hyperventilation.
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http://dx.doi.org/10.1016/j.neucli.2025.103060 | DOI Listing |
Acta Neurochir (Wien)
March 2025
Department of Neurosurgery, Aalborg University Hospital, Aalborg, Denmark.
Background: Multimodal neuromonitoring (MMM) aids early detection of secondary brain injury in neurointensive care and facilitates research in pathophysiologic mechanisms of the injured brain. Invasive ICP monitoring has been the gold standard for decades, however additional methods exist (aMMM). It was hypothesized that local practices regarding aMMM vary considerably and that inter-and intracenter consensus is low.
View Article and Find Full Text PDFEpilepsia
March 2025
Department of Neurosciences, University of Montreal, Montreal, Quebec, Canada.
Objective: To determine whether interictal epileptiform discharges (IEDs) on routine electroencephalography (EEG) predict seizure recurrence in adults with established epilepsy.
Methods: We conducted a retrospective survival analysis of consecutive adults with epilepsy undergoing routine EEG at a tertiary center between 2018 and 2019. Using multivariate Cox proportional hazards models guided by a directed acyclic graph and adjusted for confounders including past seizure frequency and duration of epilepsy, we estimated the association between the presence of IEDs and time to next seizure, stratified by epilepsy type.
Front Neurol
February 2025
Department of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Background: Varicella-zoster virus (VZV) central nervous system infection is typically observed in immunocompromised patients, and there is a lack of studies involving large samples of non-immunocompromised individuals. In this study, we retrospectively analyzed 108 non-immunocompromised patients diagnosed with VZV central nervous system infection.
Methods: This retrospective study was conducted in the Department of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, China.
Epilepsia Open
March 2025
Clinic of Neurology, University Medical Center Göttingen, Göttingen, Germany.
Objective: Diagnosing epilepsy after a first unprovoked seizure in the absence of visible epileptogenic lesions and interictal epileptiform discharges (IED) in the electroencephalogram (EEG) is challenging. Quantitative EEG analysis and functional connectivity (FC) have shown promise in identifying patterns across epilepsy syndromes. Hence, we retrospectively investigated whether there were differences in FC (imaginary part of coherency) and spectral band power in non-lesional, IED-free, unmedicated patients after a first unprovoked seizure in contrast to controls.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2024
The prospect of future treatment warrants the development of cost-effective screening for Alzheimer's disease (AD). A promising candidate in this regard is electroencephalography (EEG), as it is one of the most economic imaging modalities. Recent efforts in EEG analysis have shifted towards leveraging spatial information, employing novel frameworks such as graph signal processing or graph neural networks.
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