A novel supportive assessment for comprehensive aggression using EEG and ECG

Seung Yeong Im, Jinju Jeong, Gwonhyu Jin, Jiwoo Yeom, Janghwan Jekal, Sang im Lee, Jung Ah Cho, Sukkyoo Lee, Youngmi Lee, Dae Hwan Kim, Mijeong Bae, Jinhwa Heo, Cheil Moon, Chang Hun Lee

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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.

Original languageEnglish
Pages (from-to)136-142
Number of pages7
JournalNeuroscience Letters
Volume694
DOIs
StatePublished - 16 Feb 2019

Bibliographical note

Publisher Copyright:
© 2018 Elsevier B.V.

Keywords

  • Aggression
  • BDHI
  • BPAQ
  • ECG
  • EEG
  • PCS

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