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Early-phase EEG power spectrum analysis may differentiate acute encephalopathy with biphasic seizures and late reduced diffusion from prolonged febrile seizures.
Epilepsy Res
January 2025
Department of Pediatric Neurology, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan. Electronic address:
Background: Acute encephalopathy with biphasic seizures and late reduced diffusion (AESD) is clinically characterized by biphasic seizures associated with mild to severe neurological sequelae and is the most common subtype of acute encephalopathy in Japan, accounting for around 30 % of cases. The present study retrospectively analyzed the utility of electroencephalography (EEG) in determining the optimal method of diagnosing AESD at the early stage.
Methods: This study explores early power value differences to differentiate acute encephalopathy from prolonged febrile seizure (FS).
onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation.
PLoS One
January 2025
Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland.
Electroencephalographic signals are obtained by amplifying and recording the brain's spontaneous biological potential using electrodes positioned on the scalp. While proven to help find changes in brain activity with a high temporal resolution, such signals are contaminated by non-stationary and frequent artefacts. A plethora of noise reduction techniques have been developed, achieving remarkable performance.
View Article and Find Full Text PDFElectroencephalographic markers in Major Depressive Disorder: insights from absolute, relative power, and asymmetry analyses.
Front Psychiatry
January 2025
Feneryolu Medical Center, Üsküdar University, Istanbul, Türkiye.
Introduction: Major Depressive Disorder (MDD) leads to dysfunction and impairment in neurological structures and cognitive functions. Despite extensive research, the pathophysiological mechanisms and effects of MDD on the brain remain unclear. This study aims to assess the impact of MDD on brain activity using EEG power spectral analysis and asymmetry metrics.
View Article and Find Full Text PDFBeyond Averaging: A Transformer Approach to Decoding Event Related Brain Potentials.
Neuroimage
January 2025
Department of Computer Science, University of Innsbruck, Technikerstrasse 21a, Innsbruck, 6020, Austria. Electronic address:
The objective of this study is to assess the potential of a transformer-based deep learning approach applied to event-related brain potentials (ERPs) derived from electroencephalographic (EEG) data. Traditional methods involve averaging the EEG signal of multiple trials to extract valuable neural signals from the high noise content of EEG data. However, this averaging technique may conceal relevant information.
View Article and Find Full Text PDFElectroencephalographic Features of Presumed Hepatic Encephalopathy in a Pediatric Dog with a Portosystemic Shunt-A Case Report.
Life (Basel)
January 2025
Neurology Service, Faculty of Veterinary Medicine, "Ion Ionescu de la Brad" Iași University of Life Sciences, 700489 Iași, Romania.
Hepatic encephalopathy (HE) in dogs is a metabolic disorder of the central nervous system that occurs secondarily to liver dysfunctions, whether due to acquired or congenital causes. A portosystemic shunt is the presence of abnormal communications between the hepatic vessels (portal and suprahepatic veins). As a result of this, the blood brought from the digestive tract through the portal vein bypasses the liver, and the unmetabolized components of the portal bloodstream enter directly into systemic circulation, causing clinical symptoms of metabolic encephalopathy (HE).
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