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Fractal dimension of EEG signal senses complexity of fractal animations

Sarshar Dorosti, Reza Khosrowabadi
doi: https://doi.org/10.1101/2021.02.11.430870
Sarshar Dorosti
1Farabi International Campus, Tehran University of Art, Tehran, Iran
2Institute for Cognitive and Brain Sciences, Shahid Beheshti University GC, Tehran, Iran
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Reza Khosrowabadi
2Institute for Cognitive and Brain Sciences, Shahid Beheshti University GC, Tehran, Iran
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  • For correspondence: r_khosroabadi@sbu.ac.ir
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Abstract

We are surrounded with many fractal and self-similar patterns which has been area of many researches in the recent years. We can perceive self-similarities in various spatial and temporal scales; however, the underlying neural mechanism needs to be well understood. In this study, we hypothesized that complexity of visual stimuli directly influence complexity of information processing in the brain. Therefore, changes in fractal pattern of EEG signal must follow change in fractal dimension of animation. To investigate this hypothesis, we recorded EEG signal of fifteen healthy participants while they were exposed to several 2D fractal animations. Fractal dimension of each frame of the animation was estimated by box counting method. Subsequently, fractal dimensions of 32 EEG channels were estimated in a frequency specific manner. Then, association between pattern of fractal dimensions of the animations and pattern of fractal dimensions of EEG signals were calculated using the Pearson’s correlation algorithm. The results indicated that fractal animation complexity is mainly sensed by changes in fractal dimension of EEG signals at the centro-parietal and parietal regions. It may indicate that when the complexity of visual stimuli increases the mechanism of information processing in the brain also enhances its complexity to better attend and comprehend the stimuli.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted February 13, 2021.
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Fractal dimension of EEG signal senses complexity of fractal animations
Sarshar Dorosti, Reza Khosrowabadi
bioRxiv 2021.02.11.430870; doi: https://doi.org/10.1101/2021.02.11.430870
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Fractal dimension of EEG signal senses complexity of fractal animations
Sarshar Dorosti, Reza Khosrowabadi
bioRxiv 2021.02.11.430870; doi: https://doi.org/10.1101/2021.02.11.430870

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