論文

査読有り 国際誌
2016年3月

Self-esteem modulates amygdala-ventrolateral prefrontal cortex connectivity in response to mortality threats.

Journal of experimental psychology. General
  • Kuniaki Yanagisawa
  • ,
  • Nobuhito Abe
  • ,
  • Emiko S Kashima
  • ,
  • Michio Nomura

145
3
開始ページ
273
終了ページ
83
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1037/xge0000121
出版者・発行元
AMER PSYCHOLOGICAL ASSOC

Reminders of death often elicit defensive responses in individuals, especially among those with low self-esteem. Although empirical evidence indicates that self-esteem serves as a buffer against mortality threats, the precise neural mechanism underlying this effect remains unknown. We used functional magnetic resonance imaging (fMRI) to test the hypothesis that self-esteem modulates neural responses to death-related stimuli, especially functional connectivity within the limbic-frontal circuitry, thereby affecting subsequent defensive reactions. As predicted, individuals with high self-esteem subjected to a mortality threat exhibited increased amygdala-ventrolateral prefrontal cortex (VLPFC) connectivity during the processing of death-related stimuli compared with individuals who have low self-esteem. Further analysis revealed that stronger functional connectivity between the amygdala and the VLPFC predicted a subsequent decline in responding defensively to those who threaten one's beliefs. These results suggest that the amygdala-VLPFC interaction, which is modulated by self-esteem, can reduce the defensiveness caused by death-related stimuli, thereby providing a neural explanation for why individuals with high self-esteem exhibit less defensive reactions to mortality threats.

リンク情報
DOI
https://doi.org/10.1037/xge0000121
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/26569130
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000370623400003&DestApp=WOS_CPL
ID情報
  • DOI : 10.1037/xge0000121
  • ISSN : 0096-3445
  • eISSN : 1939-2222
  • PubMed ID : 26569130
  • Web of Science ID : WOS:000370623400003

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