Search Results - "electroencephalography (EEG)"
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PHYSIOLOGIC PATTERNS OF SLEEP ON EEG, MASKING OF EPILEPTIFORM ACTIVITY
Published 2015-06-01Subjects: “…electroencephalography (eeg)…”Physiologic patterns of sleep on EEG can sometimes be similar to epileptiform activity and even to the EEG pattern of epileptic seizures, but they have no connection to epilepsy and their incorrect interpretation may lead to overdiagnosis of epilepsy. These sleep patterns include vertex transients,...
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EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving
Published 2024-01-01Subjects: Get full textA significant issue for traffic safety has been drowsy driving for decades. A number of studies have investigated the effects of acute fatigue on spectral power; and recent research has revealed that drowsy driving is associated with a variety of brain connections in a specific cortico-cortical path...
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The arousal paradox in critical task performance in automated driving during sleep inertia using a quasi experimental approach
Published 2025-06-01Subjects: Get full textAbstract Sleep inertia is the post-awakening transitional state of lowered arousal, characterized by increased low-frequency activity in the electroencephalogram (EEG) and impaired cognition. While some theories consider arousal holistically, recent research questions whether these findings apply to...
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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms
Published 2025-07-01Subjects: Get full textIntroductionSchizophrenia is a severe psychological disorder that significantly impacts an individual’s life and is characterized by abnormalities in perception, behavior, and cognition. Conventional Schizophrenia diagnosis techniques are time- consuming and prone to error. The study proposes a nove...
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Optimized Time-domain Feature Extraction for Early Onset Diagnosis of Parkinson Disease From EEG Signals
Published 2025-07-01Subjects: Get full textBackground: Early and accurate diagnosis of Parkinson disease (PD) is essential for enhancing patients’ quality of life and enabling more effective symptom management. Brain signal analysis, a non-invasive and reliable technique, provides an alternative or complementary method to traditional diagnos...
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Balance Perturbations in Simulated Low-Gravity Modulate Human Premotor and Frontoparietal Electrocortical Theta, Alpha, and Beta Band Spectral Power
Published 2023-01-01Subjects: Get full textWe aimed to identify the influence of bodyweight unloading on healthy human electrical brain and muscle dynamics during standing balance. Using an underwater environment to simulate reduced gravity, we recorded high-density electroencephalography and lower limb electromyography from 10 individuals (...
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Attention-based multi-scale convolution and conformer for EEG-based depression detection
Published 2025-07-01Subjects: Get full textDepression is a common mental health issue, and early detection is crucial for timely intervention. This study proposes an end-to-end EEG-based depression recognition model, AMCCBDep, which combines Attention-based Multi-scale Parallel Convolution (AMPC), Conformer, and Bidirectional Gated Recurrent...
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Frontal theta oscillations and cognitive flexibility: Age-related modulations in EEG activity
Published 2025-01-01Subjects: Get full textCognitive flexibility, the ability to adapt one’s behaviour in changing environments, declines during aging. Electroencephalography (EEG) studies have implicated midfrontal theta oscillations in attentional set-shifting, a measure of cognitive flexibility. Little is known about the electrocortical u...
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Individual Variability in Cognitive Engagement and Performance Adaptation During Virtual Reality Interaction: A Comparative EEG Study of Autistic and Neurotypical Individuals
Published 2025-07-01Subjects: Get full textMany studies have recognized that individual variability shapes user experience in virtual reality (VR), yet little is known about how these differences influence objective cognitive engagement and performance outcomes. This study investigates how cognitive factors (IQ, age) and technological famili...
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LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG
Published 2025-01-01Subjects: “…Electroencephalography (EEG)…”Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful features in recent years. However, as a kind of neural electrophysiological signal, EEG contains different ty...
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NeuroTutor: Neural Decoding of Student Engagement During Virtual and Robotic Tutoring
Published 2025-01-01Subjects: “…Electroencephalography (EEG)…”The use of electroencephalography (EEG)-based analysis in educational research offers valuable insight into the dynamics of virtual and robot-based tutoring systems. This study aims to classify neural patterns associated with two distinct tutoring modalities (virtual tutor versus robot tutor) to und...
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AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding
Published 2025-01-01Subjects: Get full textAuditory attention decoding (AAD) is the process of identifying the attended speech in a multi-talker environment using brain signals, typically recorded through electroencephalography (EEG). Over the past decade, AAD has undergone continuous development, driven by its promising application in neuro...
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Neurotechnological Approaches to Cognitive Rehabilitation in Mild Cognitive Impairment: A Systematic Review of Neuromodulation, EEG, Virtual Reality, and Emerging AI Applications
Published 2025-05-01Subjects: Get full text<i>Background/Objectives:</i> Mild Cognitive Impairment (MCI) represents a clinical syndrome characterized by cognitive decline greater than expected for an individual’s age and education level but not severe enough to significantly interfere with daily activities, with variable trajecto...
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Analysis of electroencephalography oscillation characteristics in spinal cord injury patients with neuropathic pain
Published 2025-09-01Subjects: Get full textObjectives: To investigate the electroencephalography (EEG) features in patients with spinal cord injury (SCI) experiencing neuropathic pain (NP) by analyzing the γ (30–80 Hz) frequency band. Methods: Participants were divided into three groups: the PWP group (SCI patients with pain), the PNP group...
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Measuring Blink-Related Brainwaves Using Low-Density Electroencephalography with Textile Electrodes for Real-World Applications
Published 2025-07-01Subjects: Get full text<b>Background</b>: Electroencephalography (EEG) systems based on textile electrodes are increasingly being developed to address the need for more wearable sensor systems for brain function monitoring. Blink-related oscillations (BROs) are a new measure of brain function that corresponds...
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Multidimensional exploration of landscape preferences in rural squares: an empirical inquiry relying on electroencephalography, eye - tracking and Perceived Restorative Scale
Published 2025-06-01Subjects: “…electroencephalography (eeg)…”In order to objectively evaluate the impact of the rural square landscape on human physiological and emotional changes, the author utilized a combination of electroencephalography (EEG), eye-tracking technology, and the Perceived Restorative Scale to study user preference for regular and free-form r...
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Sensorimotor Rhythms as Neurophysiological Correlates of Speech Perception Processes in Childhood
Published 2025-09-01Subjects: Get full textBackground. The contribution of the sensorimotor neural network to speech perception has only recently been identified and described in adults. In children, the association between neurophysiological correlates of sensorimotor activity and speech perception processes remains a relatively novel and c...
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TriNet: A Hybrid Feature Integration Approach for Motor Imagery Classification in Brain-Computer Interface
Published 2025-01-01Subjects: Get full textBrain-computer interface (BCI) is inevitably a promising technology holding the potential to revolutionize the world with its wide range of applications. From healthcare to innovative computer gaming, integrating BCI for intelligent control has become an emergent scope. However, optimizing motor ima...
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CLINICAL AND EEG CHARACTERISTICS OF THE EARLY ONSET BENIGN CHILDHOOD OCCIPITAL EPILEPSY (PANAYOTOPOULOS SYNDROME)
Published 2016-05-01Subjects: Get full textAbstract: the article present the literature data on clinical, EEG characteristics of benign occipital epilepsy of childhood with early debut – Panayiotopoulos syndrome, and the results of own research group of patients with this form of idiopathic epilepsy. The article contains the case report of a...
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Cognitive deficits in patients with obsessive&ndash;compulsive disorder &ndash; electroencephalography correlates
Published 2016-05-01Subjects: Get full textDana Kamaradova,1,2 Miroslav Hajda,1,2 Jan Prasko,1,2 Jiri Taborsky,1,2 Ales Grambal,1,2 Klara Latalova,1,2 Marie Ociskova,1,2 Martin Brunovsky,3 Petr Hlustik4,5 1Department of Psychiatry, University Hospital Olomouc, 2Department of Psychiatry, Palacky University Olomouc, Olomouc, 3National Institu...
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