Cepstral analysis of EEG during visual perception and mental imagery reveals the influence of artistic expertise

Abstract

In this article, multichannel electroencephalogram (EEG) signals of artists and nonartists were analyzed during the performances of visual perception and mental imagery of paintings using cepstrum coefficients. Each of the calculated cepstrum coefficients and their parameters such as energy, average, standard deviation and entropy were separately used for distinguishing the two groups. It was found that a distinguishing coefficient might exist among the cepstrum coefficients, which could separate the two groups despite electrode placement. It was also observed that the two groups were distinguishable during the three states using the cepstrum coefficient parameters. However, separating the two groups was dependent on channel selection in this regard. The cepstrum coefficient parameters were found significantly lower for artists as compared to nonartists during the visual perception and the mental imagery, indicating a decreased average energy of EEG for artists. In addition, a similar significant decreasing trend in the cepstrum coefficient parameters was observed from occipital to frontal brain regions during the performances of the two cognitive tasks for the two groups, suggesting that visual perception and its mental imagery overlap in neuronal resources. The two groups were also classified using a neural gas classifier and a support vector machine classifier. The obtained average classification accuracies during the visual perception, the mental imagery, and at rest in the case of using the best selected distinguishable cepstrum coefficients were 76.87%, 77.5%, and 97.5%, respectively; however, a decrease in average recognition accuracy was found for classifying the two groups using the cepstrum coefficient parameters.

Neurofeedback Training Protocol Based on Selecting Distinctive Features to Treat or Reduce ADHD Symptoms

“…In this study, the GA was utilized to select the more effective features. 61 Since the main objective was to select a maximum of 2 effective features and channels, the chromosomes were considered as 4-dimensional cases (namely, the 2 first dimensions showed 2 feature indices and the second ones indicated the channel indices). The fitness function was thus defined as follows: [62][63][64][65] Fitness…”

Multiscale neural connectivity during human sensory processing in the brain

“…Observation of the bistable Necker cube and its further interpretation as left or right oriented induces the stimulusrelated response of the neuronal brain network. Such response is reflected in EEG data as the decrease of the amplitude of alpha rhythm (8)(9)(10)(11)(12) Hz oscillations) and increase of the amplitude of beta rhythm (15-30 Hz oscillations). Similar character of the brain activity is associated with the different types of perception, where changes in alpha activity are associated with the visual [39] or auditory attention [40] and changes of beta activity-with the cognitive activity, related to the procession of the stimuli [41] and shift of the brain to an attention state [42,43].…”

“…There are a lot of works addressed to the study of EEG signatures associated with visual perception. In particular, the influence of the oscillatory phase of EEG on perception was studied in [9,10], influence of the EEG energy was studied in [11], and interaction between different brain rhythms during perception was considered in [12].…”

“…In the current work we consider brain activity related to processing of visual stimuli (stimulus-related activity) based on analysis of interactions between the neural structures, belonging to occipital and parietal brain areas in alpha (8)(9)(10)(11)(12) and beta (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) Hz) frequency bands. We show that perception of visual stimuli induces brain response resulted in different ways of parieto-occipital interactions in these bands and describe the complex response of the parieto-occipital brain network during the perception and primary processing of the visual stimuli.…”

EEG Spectral Power Analysis: A Comparison Between Heroin Dependent and Control Groups

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