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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.
View Article and Find Full Text PDFBrain changes in sleep-related hypermotor epilepsy observed from wakefulness and N2 sleep: A matched case-control study.
Clin Neurophysiol
January 2025
Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China. Electronic address:
Objective: Sleep-related hypermotor epilepsy (SHE) is a relatively uncommon epilepsy syndrome, characterized by seizures closely related to the sleep cycle. This study aims to explore interictal electroencephalographic (EEG) characteristics in SHE.
Methods: We compared EEG data from 20 patients with SHE, 20 patients with focal epilepsy (FE), and 14 healthy controls, carefully matched for age, sex, education level, epilepsy duration, and drug-resistant epilepsy.
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