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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).
Electroencephalographic 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 PDFExtended cognitive load induces fast neural responses leading to commission errors.
eNeuro
January 2025
The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Extended performance of cognitively demanding tasks induces cognitive fatigue manifested with an overall deterioration of behavioral performance. In particular, long practice with tasks requiring impulse control is typically followed by a decrease in self-control efficiency, leading to performance instability. Here, we show that this is due to changes in activation modalities of key task-related areas occurring if these areas previously underwent intensive use.
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 PDFNeuromonitoring-guided anesthesia depth versus four-minute anesthesia-to-stimulation time interval in electroconvulsive therapy for depressive disorders - A single-blinded, prospective, randomized and controlled study.
J Affect Disord
January 2025
Department of Anesthesiology and Intensive Care Medicine, Medical University of Innsbruck, Austria. Electronic address:
Background: Anesthesia depth influences seizure quality in patients undergoing electroconvulsive therapy (ECT). EEG-based neuromonitoring has been shown to detect adequate anesthesia depth for ECT. Anesthesia depth-guided ECT management may therefore be a reliable alternative to the predetermined anesthesia-to-stimulation time interval.
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