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Relationships between feeding behaviors and emotions: an electroencephalogram (EEG) frequency analysis study
Feeding behaviors may be easily affected by emotions, both being based on brain activity; however, the relationships between them have not been...
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Resting-state cortical electroencephalogram rhythms and network in patients after chronic stroke
ObjectiveTo investigate the resting-state cortical electroencephalogram (EEG) rhythms and networks in patients with chronic stroke and examine their...
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Construction and analysis of functional brain network based on emotional electroencephalogram
Networks play an important role in studying structure or functional connection of various brain areas, and explaining mechanism of emotion. However,...
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Electroencephalogram Coherence and Peripheral Markers of Nervous Tissue Damage in Depressive Disorders
Objectives . To assess electroencephalogram coherence parameters and the levels of peripheral markers of nerve tissue damage in patients with...
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Recognition of autism spectrum disorder in children based on electroencephalogram network topology
Although our knowledge of autism spectrum disorder (ASD) has been deepened, the accurate diagnosis of ASD from normal individuals is still left...
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Changes in Electroencephalogram Indicators in Patients in the Somatogenic Phase of Acute Poisoning with Opioid Receptor Agonists
Objectives . To evaluate electroencephalogram (EEG) parameters using computerized data processing methods to analyze the possible neurophysiological...
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Linear mixed-effect models for correlated response to process electroencephalogram recordings
A data set of clinical studies of electroencephalogram recordings (EEG) following data acquisition protocols in control individuals (Eyes Closed...
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Evaluating Ratio Indices Based on Electroencephalogram Brainwaves in Schizophrenia Detection
PurposeExtensive research has been conducted by neurocognitive and psychological scientists to diagnose mental and neurological diseases...
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Characterization of the planarian surface electroencephalogram
BackgroundDespite large morphological differences between the nervous systems of lower animals and humans, striking functional similarities have been...
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Imagined speech classification exploiting EEG power spectrum features
AbstractImagined speech recognition has developed as a significant topic of research in the field of brain-computer interfaces. This innovative...
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Point of Care Testing (POCT) in Psychopathology Using Fractal Analysis and Hilbert Huang Transform of Electroencephalogram (EEG)
Research has shown that relying only on self-reports for diagnosing psychiatric disorders does not yield accurate results at all times. The advances...
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Epileptic seizure focus detection from interictal electroencephalogram: a survey
Electroencephalogram (EEG) is one of most effective clinical diagnosis modalities for the localization of epileptic focus. Most current AI solutions...
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SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals
Electroencephalogram (EEG) signals are often corrupted by undesirable sources like electrooculogram (EOG) artifacts, which have a substantial impact...
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Band decomposition of asynchronous electroencephalogram signal for upper limb movement classification
Decoding asynchronous electroencephalogram (A-EEG) signals is a crucial challenge in the emerging field of EEG based brain–computer interface. In the...
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Multifractal Analysis in Neuroimaging
The characteristics of biomedical signals are not captured by conventional measures like the average amplitude of the signal. The methodologies...
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The Relation Between the Power of Prefrontal Gamma in Rest-state EEG Under Normal Sleep and Reactive Aggression Behaviour After Sleep Deprivation
Whether sleep deprivation affects aggressive behaviour is still under debate. The present study examined the influence of individual differences in...
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Hybrid classification model for eye state detection using electroencephalogram signals
The electroencephalography (EEG) signal is an essential source of Brain–Computer Interface (BCI) technology implementation. The BCI is nothing but a...
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Features of Decision-Making in Patients with Alcohol Dependence
Objectives . To identify electroencephalographic correlates of decision-making features in patients with alcohol dependence. Materials and methods ....
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Study on different brain activation rearrangement during cognitive workload from ERD/ERS and coherence analysis
The functional activities of the brain during any task like imaginary, motor, or cognitive are different in pattern as well as their area of...
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Develo** cognitive workload and performance evaluation models using functional brain network analysis
Cognition, defined as the ability to learn, remember, sustain attention, make decisions, and solve problems, is essential in daily activities and in...
