Abstract
The brain is a unique organization in nature, possessing the ability for psychic activity, which manifests itself in thoughts, feelings and emotions. In present days, numbers of mathematical methods for analysis of electroencephalogram (EEG) were developed with continuous wavelet transform being one of the most successive approaches for studying of brain activity. This paper is aimed to develop methods for investigation of psychic brain activity with help of continuous wavelet analysis of EEG. Ability of human to realize semantic content of the image presented on the screen was tested. Experiment was accompanied with simultaneous EEG recording, which was held with developed software and PC-based experimental setup. The information capabilities of continuous wavelet transform-based method for EEG analysis were improved for the recognition of specific patterns in human brain activity. Comparative wavelet analysis was carried out for EEG recordings at the moment of awareness of the semantic content of the image and for EEG recordings in the absence of conscious (subjective) perception of the semantic content of the image. Significant differences were shown in the alpha rhythm of EEG for the moments of awareness of the semantic content of the image and for the moments of absence of conscious perception. Continuous wavelet analysis of EEG showed that the alpha rhythm is the main EEG rhythm, which can be used to estimate the presence of subjective perception of the visual image. Significant differences were shown in the alpha rhythm of EEG for the moments of awareness of the semantic content of the image and for the moments of absence of conscious perception. Conducted studies allow to conclude that revealing of brain activity related to visual image awareness is possible through analysis of EEG.
Highlights
IntroductionDespite of substantial progress in modern psychophysiology and neurophysiology, the existing methods cannot allow direct registration and investigation of patterns of brain psychic activity [1] [2] [3] [4]
The brain is a unique organization in the living nature, possessing the ability for psychic activity, which manifests itself in thoughts, feelings, emotions, i.e. in subjective human’s perception of himself and surrounding world.Despite of substantial progress in modern psychophysiology and neurophysiology, the existing methods cannot allow direct registration and investigation of patterns of brain psychic activity [1] [2] [3] [4]
The brain is a unique organization in nature, possessing the ability for psychic activity, which manifests itself in thoughts, feelings and emotions
Summary
Despite of substantial progress in modern psychophysiology and neurophysiology, the existing methods cannot allow direct registration and investigation of patterns of brain psychic activity [1] [2] [3] [4]. Using of classic methods for analysis of electroencephalogram (EEG) reveals nonstationary nature of EEG rhythmic activity along with high variability of forms and frequency ranges, which greatly reduce informational capabilities of traditional methods for spectral signal analysis. Development of conceptually new informational methods capable of deciphering psychic activity patterns in neurophysiological processes is crucial for revealing the nature of brain psychic activity. Numbers of modern mathematical methods for analysis of electroencephalogram (EEG) were developed. One of the most successive approaches is continuous wavelet transform (CWT) [5] [6] [7] [8] [9]
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