COMPARISON OF BRAIN WAVES IN INDIVIDUALS WITH NARCISSISTIC AND ANTISOCIAL PERSONALITY DISORDERS USING MACHINE LEARNING

Objective: This study compared the brain waves of individuals with narcissistic and antisocial personality disorders using machine learning methods.Materials and Methods: In this comparative cross-sectional study, the brain waves of 60 participants (30 with narcissistic personality disorder and 30 with antisocial personality disorder) were recorded using an electroencephalography (EEG) mapping device and analysed with machine learning algorithms.Results: The results showed distinct patterns of brain electrical activity between the two groups. In individuals with antisocial personality disorder, the delta wave power was significantly higher in the frontal, central, parietal, and occipital regions compared with the narcissistic group (p<0.001). Additionally, theta and beta wave power differed between the two groups in certain brain areas (p<0.001 or p<0.05).Conclusion: These findings reveal distinctive brain wave activity patterns in individuals with narcissistic and antisocial personality disorders, which may contribute to a better understanding of the neurobiology of these disorders and hold potential for developing EEG-based diagnostic tools.

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Publication Details

Journal
Journal of Istanbul Faculty of Medicine / İstanbul Tıp Fakültesi Dergisi
Published
2026-02-09
DOI
https://doi.org/10.26650/iuitfd.1703763
Primary Topic
Personality Disorders and Psychopathology
Type
article
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article

COMPARISON OF BRAIN WAVES IN INDIVIDUALS WITH NARCISSISTIC AND ANTISOCIAL PERSONALITY DISORDERS USING MACHINE LEARNING

Fatemeh Gholipour, Niloufar Mikaeili, Sajjad Bashrpour, Nader Hajloo et al.
Journal of Istanbul Faculty of Medicine / İstanbul Tıp Fakültesi Dergisi
Personality Disorders and Psychopathology
article

COMPARISON OF BRAIN WAVES IN INDIVIDUALS WITH NARCISSISTIC AND ANTISOCIAL PERSONALITY DISORDERS USING MACHINE LEARNING

Fatemeh Gholipour, Niloufar Mikaeili, Sajjad Bashrpour, Nader Hajloo, Seyyedeh Asgari Ghalebin
article en

Abstract

Objective: This study compared the brain waves of individuals with narcissistic and antisocial personality disorders using machine learning methods.Materials and Methods: In this comparative cross-sectional study, the brain waves of 60 participants (30 with narcissistic personality disorder and 30 with antisocial personality disorder) were recorded using an electroencephalography (EEG) mapping device and analysed with machine learning algorithms.Results: The results showed distinct patterns of brain electrical activity between the two groups. In individuals with antisocial personality disorder, the delta wave power was significantly higher in the frontal, central, parietal, and occipital regions compared with the narcissistic group (p<0.001). Additionally, theta and beta wave power differed between the two groups in certain brain areas (p<0.001 or p<0.05).Conclusion: These findings reveal distinctive brain wave activity patterns in individuals with narcissistic and antisocial personality disorders, which may contribute to a better understanding of the neurobiology of these disorders and hold potential for developing EEG-based diagnostic tools.

Journal of Istanbul Faculty of Medicine / İstanbul Tıp Fakültesi DergisiVol. 89(1)
Jammu Hospital (IN), University of Mohaghegh Ardabili (IR)
Openalex Percentile: Top 12%
Personality Disorders and Psychopathology
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