Ethics code: IR.UT.PSYEDU.REC.1403.083
Akbari S, Hajizadegan M.
(2025). The Interaction of Dynamic Electroencephalographic Features with Personality Traits of Neuroticism and Extraversion. Rooyesh. 14(9), 259-268.
URL: http://frooyesh.ir/article-1-6092-en.html
1- Assistant Professor, University of Tehran, Tehran, Iran. , akbari.sh@ut.ac.ir
2- PhD, University of Tehran, Tehran, Iran.
Abstract: (84 Views)
Personality factors significantly influence individuals' behaviors and cognitive performance, making their assessment crucial. While previous studies have identified connections between individual EEG frequency bands and personality traits, the interaction among electrophysiological features across multiple frequency bands has garnered less attention. This study explores the relationships between EEG components and personality factors through linear modeling to assess both direct relationships and interactions as predictors for specific traits. EEG recordings were collected from 23 participants, with personality traits assessed using the NEO Five-Factor Personality Inventory. Data analysis employed automatic linear modeling techniques. Findings revealed that although a direct statistical relationship between EEG components and personality traits is limited, the linear modeling approach effectively predicted neuroticism and extraversion by exploring interactions among EEG components. These results suggest that more sophisticated analytical methods, which consider variable interactions, can enhance the prediction of multidimensional and complex traits like personality.
Type of Article:
Research |
Subject:
General Psychology Received: 2025/03/5 | Accepted: 2025/11/4 | ePublished: 2025/12/1