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A novel supportive assessment for comprehensive aggression using EEG and ECG

Title
A novel supportive assessment for comprehensive aggression using EEG and ECG
Author(s)
Im, Seung YeongJeong, Jin JuJin, GwonhyuJekal, JanghwanYeom, JiwooLee, Sang-imLee, SukkyooCho, Jung AhKim, Dae-HwanLee, YoungmiHeo, JinhwaBae, MijeongMoon, CheilLee, Chang-Hun
Issued Date
2019-02
Citation
Neuroscience Letters, v.694, pp.136 - 142
Type
Article
Author Keywords
AggressionBDHIBPAQECGEEGPCS
Keywords
ANTISOCIAL-BEHAVIORVIOLENCESAMPLEANGERPERSONALITYREACTIVITYCHILDHOOD
ISSN
0304-3940
Abstract
Aggression is a complex, ubiquitous phenomenon that impacts behavioral traits and psychological health. Assessing aggression is challenging because aggression constitutes multiple subtraits, such as anger, reactive aggression, and overt aggression. Conventional methods of assessing aggression are susceptible to bias because they mainly rely upon self-reports. Thus, more objective methods that provide a multifaceted understanding of aggression in individuals are required. Here, we propose a supportive method of assessing specific aggression subtraits in Koreans using electroencephalography (EEG) and electrocardiography (ECG). Our evaluations and statistical analyses revealed that EEG and ECG signals in subjects responding to video cues that induced aggression are associated with aggression subtraits. In particular, we identified spectral differences in EEG signals in response to stimuli with situation-dependent aggression. The α and β signals of the Fp2 site (the right ventromedial prefrontal region) are highly associated with anger, reactive aggression, and overt aggression. Moreover, ECG signals are associated with anger and overt aggression. These results link neurobiological findings to psychological explanations of aggression and multiple aspects of human behavior. Our findings can potentially be applied to supportive assessment methods for psychological counseling or psychiatric diagnoses. © 2018 Elsevier B.V.
URI
http://hdl.handle.net/20.500.11750/9489
DOI
10.1016/j.neulet.2018.12.005
Publisher
Elsevier Ireland Ltd

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