COMPLEXITY-BASED ANALYSIS OF THE VARIATIONS IN THE BRAIN RESPONSE OF PORN-ADDICTED AND HEALTHY INDIVIDUALS UNDER DIFFERENT FUNCTION TASKS

Najmeh Pakniyat, Janarthanan Ramadoss, Anitha Karthikeyan, Penhaker Marek, Ondrej Krejcar and Hamidreza Namazi
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Najmeh Pakniyat: 30 Shore Breeze Drive, Toronto, ON, Canada M8V 0J1, Canada
Janarthanan Ramadoss: ��Center for Artificial Intelligence, Chennai Institute of Technology, India
Anitha Karthikeyan: ��Department of Electronics and Communication Engineering, Vemu Institute of Technology, India
Penhaker Marek: �Faculty of Electrical Engineering and Computer Science (FEEC), VSB – Technical University of Ostrava 17. listopadu 2172/15, Ostrava, Czechia
Ondrej Krejcar: �Faculty of Electrical Engineering and Computer Science (FEEC), VSB – Technical University of Ostrava 17. listopadu 2172/15, Ostrava, Czechia
Hamidreza Namazi: �Faculty of Electrical Engineering and Computer Science (FEEC), VSB – Technical University of Ostrava 17. listopadu 2172/15, Ostrava, Czechia¶School of Mechanical Engineering, Monash University, Malaysia

FRACTALS (fractals), 2024, vol. 32, issue 05, 1-8

Abstract: The examination of brain responses in individuals with a pornography addiction compared to those without sheds light on the neurobiological aspects associated with this behavior. Neuroscientific studies utilizing techniques such as electroencephalography (EEG) have shown that porn-addicted individuals may exhibit alterations in neural pathways related to reward processing and impulse control. In this paper, we analyzed the variations in the brain response of porn-addicted versus healthy individuals under five function tasks including baseline, emotional state, memorize task, executive task, and recall task. For this purpose, we analyzed the complexity of EEG signals using fractal theory, approximate entropy (ApEn), and sample entropy. The results showed that the EEG signals of porn-addicted teenagers are more complex than the ones for healthy individuals, which reflects a higher level of brain activity for porn-addicted teenagers. This method of analysis can be extended to examine the brain activity of other types of addiction versus healthy brains.

Keywords: Porn-Addicted; Complexity; EEG Signals; Fractal Dimension; Approximate Entropy; Sample Entropy (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0218348X24500907

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