Effects of chronic tobacco smoking on the spectral contents of spontaneous electroencephalogram (EEG) were examined in connection with schizotypal personality. EEG recorded from 19 smokers and 20 non-smokers college students were studied by means of parametric spectral estimation followed by a statistical analysis of differences. We observed that tobacco smoking affects EEG of high and low schi...

A controversial issue in artificial intelligence is human emotion recognition. This paper presents a fuzzy parallel cascades (FPC) model for predicting the continuous subjective emotional appraisal of music by time-varying spectral content electroencephalogram (EEG) signals. The EEG, along with an 15 subjects, was recorded during listening to seven musical excerpts. appraisement valence and aro...

The coherence analysis is based on spectral analysis, which describe the synchronization of electroencephalogram (EEG) rhythms between brain areas. Coherence analysis is a noninvasive technique for studying functional relationships between brain regions. The coherence analysis is a kind of study based on spectrum analysis, which can describe the coordination of the brain electric activities of ...

Long term video electro-encephalographic (EEG) monitoring (LTM) is defined as the continuous and synchronized recording of EEG and multimedia to analyze brain abnormalities. A conventional LTM system continuously records EEG in the frequency range of 0.5-70Hz. The data synchronization, the high-volume data management, the system reliability as well as noise reduction remain significant challeng...

Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...

Phase synchronization phenomena are directly connected with the underlying neural mechanisms of certain cognitive processes. However, only amplitude information is utilized in most electroencephalogram (EEG)-based brain-computer interfaces (BCIs). Few existing methods can simultaneously measure and phase required for classification. In this study, a novel common amplitude-phase measurement (CAP...

OBJECTIVE The P300 speller is a system designed to restore communication to patients with advanced neuromuscular disorders. This study was designed to explore the potential improvement from using electrocorticography (ECoG) compared to the more traditional usage of electroencephalography (EEG). METHODS We tested the P300 speller on two epilepsy patients with temporary subdural electrode array...

Objective: Electroencephalography (EEG) is a challenge to record simultaneously with functional MRI (fMRI), for it is prone to large artifacts induced by both the static and the time-variant ®elds of the MR scanner. However, truly concurrent EEG/fMRI recording has great potential for clinical and scienti®c neurological applications. We have devised a method for acquiring EEG simultaneously with...

BACKGROUND Measures of EEG during ECT, for example, smaller post-seizure fractal dimension have predicted antidepressant response. The earlier study on this subject used bilateral ECT. This study aims to examine if this finding holds good even for unilateral ECT, using both fractal dimension and spectral power analysis of EEG. METHODS Fifty-one right-handed, drug-free patients with major depr...