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Beyond 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.
EEG Abnormalities and Phenotypic Correlates in Preschoolers with Autism Spectrum Disorder: A Single-Center Study.
J Clin Med
January 2025
Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy.
The literature suggests the existence of an association between autism spectrum disorders (ASDs) and subclinical electroencephalographic abnormalities (SEAs), which show a heterogeneous prevalence rate (12.5-60.7%) within the pediatric ASD population.
View Article and Find Full Text PDFBrain Bioelectric Responses to Short-Term Heart Rate Variability Biofeedback Training in Indian and Russian University Students Studying in the Russian Arctic.
Life (Basel)
December 2024
N. Laverov Federal Center for Integrated Arctic Research of the Ural Branch of the Russian Academy of Sciences, Arkhangelsk 163020, Russia.
Heart rate variability biofeedback (HRV BF) training aids adaptation to new climatic, geographical, and social environments. Neurophysiological changes during the HRV BF in individuals from tropical regions studying in the Arctic are not well understood. The aim of this study was to research electroencephalographic (EEG) changes during a single short-term HRV BF session in Indian and Russian students studying in the Russian Arctic.
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