Comprehensive neural networks for guilty feelings in young adults

NeuroImage

Volumn 105, Issue , 2015, Pages 248-256

  Nakagawa, Seishu ^a   Takeuchi, Hikaru ^a   Taki, Yasuyuki ^a   Nouchi, Rui ^a   Sekiguchi, Atsushi ^a   Kotozaki, Yuka ^a   Miyauchi, Carlos Makoto ^a,b   Iizuka, Kunio ^a,c   Yokoyama, Ryoichi ^a,d   Shinada, Takamitsu ^a   Yamamoto, Yuki ^a   Hanawa, Sugiko ^a   Araki, Tsuyoshi ^a   Hashizume, Hiroshi ^a   Kunitoki, Keiko ^a   Sassa, Yuko ^a   Kawashima, Ryuta ^a  

^a TOHOKU UNIVERSITY   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c TOHOKU UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^d JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE   (Japan)

Author keywords

Comprehensive neural networks; Empathy; Guilty feeling; Interpersonal situation; Posterior insula; Regional gray matter density (rGMD); Rule breaking situation; Voxel based morphometry (VBM)

Indexed keywords

ADULT; AGE; AMYGDALOID NUCLEUS; ANTERIOR INSULA; ARTICLE; CINGULATE GYRUS; EMPATHY; FEMALE; GRAY MATTER; GUILT; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; INTERPERSONAL COMMUNICATION; MALE; NERVE CELL NETWORK; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; POSTERIOR INSULA; SEX DIFFERENCE; VENTROMEDIAL PREFRONTAL CORTEX; YOUNG ADULT; ANATOMY AND HISTOLOGY; BRAIN; HUMAN RELATION; PHYSIOLOGY; SOCIAL BEHAVIOR;

ADULT; CEREBRUM; EMPATHY; FEMALE; GUILT; HUMANS; INTERPERSONAL RELATIONS; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; SOCIAL BEHAVIOR; YOUNG ADULT;

EID: 84911456538     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.11.004     Document Type: Article

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