論文

査読有り
2014年8月

Neural bases of antisocial behavior: a voxel-based meta-analysis

SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
  • Yuta Aoki
  • ,
  • Ryota Inokuchi
  • ,
  • Tomohiro Nakao
  • ,
  • Hidenori Yamasue

9
8
開始ページ
1223
終了ページ
1231
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1093/scan/nst104
出版者・発行元
OXFORD UNIV PRESS

Individuals with antisocial behavior place a great physical and economic burden on society. Deficits in emotional processing have been recognized as a fundamental cause of antisocial behavior. Emerging evidence also highlights a significant contribution of attention allocation deficits to such behavior. A comprehensive literature search identified 12 studies that were eligible for inclusion in the meta-analysis, which compared 291 individuals with antisocial problems and 247 controls. Signed Differential Mapping revealed that compared with controls, gray matter volume (GMV) in subjects with antisocial behavior was reduced in the right lentiform nucleus (P < 0.0001), left insula (P = 0.0002) and left frontopolar cortex (FPC) (P = 0.0006), and was increased in the right fusiform gyrus (P < 0.0001), right inferior parietal lobule (P = 0.0003), right superior parietal lobule (P = 0.0004), right cingulate gyrus (P = 0.0004) and the right postcentral gyrus (P = 0.0004). Given the well-known contributions of limbic and paralimbic areas to emotional processing, the observed reductions in GMV in these regions might represent neural correlates of disturbance in emotional processing underlying antisocial behavior. Previous studies have suggested an FPC role in attention allocation during emotional processing. Therefore, GMV deviations in this area may constitute a neural basis of deficits in attention allocation linked with antisocial behavior.

リンク情報
DOI
https://doi.org/10.1093/scan/nst104
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/23926170
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000342984900022&DestApp=WOS_CPL
ID情報
  • DOI : 10.1093/scan/nst104
  • ISSN : 1749-5016
  • eISSN : 1749-5024
  • PubMed ID : 23926170
  • Web of Science ID : WOS:000342984900022

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