부산대학교 도서관

Fredric Schiffer,1,2 Alaptagin Khan,1,2 Kyoko Ohashi,1,2 Laura C Hernandez Garcia,1,2 Carl M Anderson,1,2 Lisa D Nickerson,1,3 Martin H Teicher1,2 1Department of Psychiatry, Harvard Medical School, Boston, MA, USA; 2Developmental Biopsychiatry Research Program, McLean Hospital, Belmont, MA, USA; 3McLean Imaging Center, McLean Hospital, Belmont, MA, USACorrespondence: Fredric Schiffer, Developmental Biopsychiatry Research Program, McLean Hospital, Belmont, MA, USA, Tel +1 617 855 2970, Fax +1 617 855 3712, Email fschiffer@mclean.harvard.eduPurpose: Conventional theories of hemispheric emotional valence (HEV) postulate fixed hemispheric differences in emotional processing. Schiffer’s dual brain psychology proposes that there are prominent individual differences with a substantial subset showing a reversed laterality pattern. He further proposed that hemispheric differences were more akin to differences in personality than in emotional processing. This theory is supported by findings that unilateral treatments, such as transcranial magnetic stimulation, are effective if they accurately target individual differences in laterality. The aim of this paper was to assess if a computer test of hemispheric emotional valence (CTHEV) could effectively identify individual differences in HEV and to ascertain if these individual differences were associated with underlying differences in brain structure and connectivity.Patients and Methods: The CTHEV was administered to 50 (18 male/32 female) right-handed participants, aged 18– 19 years, enrolled in a study assessing the neurobiological effects of childhood maltreatment. Based on a literature review, we determined whether CTHEV correlated with lateralized volumes of the nucleus accumbens, amygdala, hippocampus, and subgenual anterior cingulate as well as volume of the corpus callosum.Results: CTHEV scores correlated with laterality indices of the nucleus accumbens (p = 0.00016), amygdala (p = 0.0138) and hippocampus (p = 0.031). A positive left hemispheric valence was associated with a larger left-sided nucleus accumbens and hippocampus and a smaller left amygdala. We identified four eigenvector network centrality DTI measures that predict CTHEV, most notably the left amygdala, and found that CTHEV results correlated with total and segment-specific corpus callosal volumes.Conclusion: Individual differences in HEV can be readily assessed by computer test and correlate with differences in brain structure and connectivity that could provide a mechanistic understanding. These findings provide further support for a revised understanding of HEV and provide a tool that could be used to guide lateralized brain treatments.Keywords: cerebral laterality, brain structure, personality, Dual-Brain Psychology, corpus callosum