Neuroscience 2005 Abstract
| Presentation Number: | 410.13 |
|---|---|
| Abstract Title: | Gray matter density of amygdala associated with extraversion and neuroticism. |
| Authors: |
Omura, K.*1
; Constable, R. T.2
; Canli, T.1
1Dept. of Psychology, Stony Brook Univ., Stony Brook, NY 2CT, Stony Brook Univ., Stony Brook, 11794-2500, |
| Primary Theme and Topics |
Cognition and Behavior - Human Cognition, Behavior, and Anatomy -- Anatomy |
| Session: |
410. Anatomy and Individual Differences Poster |
| Presentation Time: | Monday, November 14, 2005 8:00 AM-9:00 AM |
| Location: | Washington Convention Center - Hall A-C, Board # EE20 |
| Keywords: | INDIVIDUAL DIFFERENCES, MRI, MORPHOMETRY, PERSONALITY |
Individual differences in amygdala activation have been related to individual differences in personality. This study evaluated the association between individual differences in the structure of the amygdala and the personality traits of extraversion (E) and neuroticism (N), using high-resolution magnetic resonance imaging (MRI). Forty-one healthy subjects completed personality questionnaires (NEO-PI) and were scanned on a 3T siemens Trio scanner with a sagittal 3 D MPRAGE sequence (T1 = 1100, TR = 2530, TE = 3.66, Flip Angle = 7 degrees, matrix = 256 x 256). Strucutral data were then examined for gray matter volume and density in the amygdala using voxel-based morphometry (VBM) analysis, using an optimized VBM protocol. A study-specific T1 brain template, and gray matter, white matter, and cerebrospinal fluid images were used for this procedure. The spatially normalized segments of the each subject’s gray matter images were modulated for volume analysis. The unmodulated images were used for density analysis. Both unmodulated and modulated images were smoothed with a filter of 12mm full-with at half-maximum (FWHM). E and N were modeled in multiple regression analyses as explanatory variables, controlling for age, sex, and total gray matter volume. VBM analyses were restricted to the amygdala as a priori ROI in order to reduce search space. The level of statistical significance was set at p < 0.05, family-wise error (FWE) corrected. E was correlated with greater gray matter density in the left amygdala, whereas N was correlated with reduced gray matter density in the right amygdala. There were no significant correlations between amygdala volume and E or N. The results suggest that E and N are associated with variation in gray matter density in the amygdala, but that the mechanisms underlying this association have opposing effects on gray matter density. Supported by SUNY Stony Brook and NSF # BCS-0224221.
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2005 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2005. Online.
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