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Electroencephalography of Touch
Electroencephalography (EEG)Electroencephalography (EEG) is one of the major tools to non-invasively investigate cortical activationsActivations from...
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The Role of Electroencephalography in the Differential Diagnosis of Unipolar and Bipolar Depression
The importance of the timely detection and differential diagnosis of depressive disorder and bipolar affective disorder (BAD) is beyond doubt. In...
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Electroencephalography and Magnetoencephalography
In this chapter, we present the main characteristics of electroencephalography (EEG) and magnetoencephalography (MEG). More specifically, this...
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Generative Adversarial Network (GAN) for Simulating Electroencephalography
Electroencephalographs record the electrical activity of your brain through the scalp. Electroencephalography is difficult to obtain due to its...
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Fundamentals of Electroencephalography and Magnetoencephalography
This chapter introduces and guides the readers to the second part of this book, starting with a short summary of basic principles of neurophysiology...
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Analysis and Discrimination of Electroencephalography Features for Parkinson’s Disease During the Induction of Negative Mood
PurposeParkinson’s disease (PD) is the second-most-common neurodegenerative disorder. Early intervention/treatment relies on the early diagnosis of...
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Attention facilitates initiation of perceptual decision making: a combined psychophysical and electroencephalography study
Humans can selectively process information and make decisions by directing their attention to desired locations in their daily lives. Numerous...
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Electroencephalography-Derived Functional Connectivity in Sensorimotor Networks in Post Stroke Fatigue
BackgroundPoor suppression of anticipated sensory information from muscle contractions is thought to underlie high fatigue. Such diminished...
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Exploring neurophysiological correlates of visually induced motion sickness using electroencephalography (EEG)
Visually induced motion sickness (VIMS) is a common phenomenon when using visual devices such as smartphones and virtual reality applications, with...
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Electroencephalography for the Study of the Auditory P300 Evoked Potential and Derived Measurements
Electroencephalography (EEG) is a widely used tool in neuropsychiatry research. The most used measurements in EEG are the amplitude and latency of...
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Hybrid deep transfer learning-based early diagnosis of autism spectrum disorder using scalogram representation of electroencephalography signals
Early diagnosis of autism spectrum disorder (ASD) plays an important role in the rehabilitation of the patient. This goal necessitates higher-level...
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Wavelet Based Filters for Artifact Elimination in Electroencephalography Signal: A Review
Electroencephalography (EEG) is a diagnostic test that records and measures the electrical activity of the human brain. Research investigating human...
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Pathological and Physiological High-frequency Oscillations on Electroencephalography in Patients with Epilepsy
High-frequency oscillations (HFOs) encompass ripples (80 Hz–200 Hz) and fast ripples (200 Hz–600 Hz), serving as a promising biomarker for localizing...
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Quantitative Electroencephalography Indicators in Children with Acute Purulent Meningitis
The aim of the present work was to assess the state of brain bioelectrical activity in children during the acute period of bacterial purulent...
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Long-term physical therapy for neuropathic pain after cervical spinal cord injury and resting state electroencephalography: a case report
IntroductionNeuropathic pain after spinal cord injury is difficult to treat, and it is associated with abnormalities in the function of the...
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High-Density Electroencephalography in Freely Moving Mice
Electroencephalography (EEG), an electrophysiological monitoring method to record the electrical activity of the brain, has been one of the most...
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Computational Models in Electroencephalography
Computational models lie at the intersection of basic neuroscience and healthcare applications because they allow researchers to test hypotheses in...
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Topological Features of Electroencephalography are Robust to Re-referencing and Preprocessing
Electroencephalography (EEG) is among the most widely diffused, inexpensive, and adopted neuroimaging techniques. Nonetheless, EEG requires...
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Electroencephalography Microstate Class D is a Brain Marker of Subjective Sleep Quality for College Students with High Habitual Sleep Efficiency
Subjective sleep quality is an individual’s subjective sleep feeling, and its effective evaluation is the premise of improving sleep quality....
