Amygdalar shape analysis method using surface contour aligning, spherical mapping, and probabilistic subregional segmentation
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The objective of this study was to develop a reliable method for the shape analysis of the amygdala, a structure that is important in gaining a better understanding of the limbic system in the human brain. The goal of this study was threefold; to develop (1) a robust method for aligning the contour of the amygdala; (2) a reproducible method for extracting surface parameters of the amygdala using a spherical mapping technique; and (3) a standardized approach for statistical assessment and visualization of shape alterations by applying the probabilistic maps of amygdalar subregions. This technique was validated by conducting an artificial phantom study and by assessing sex-related amygdalar shape differences using T1-weighted images from healthy volunteers. In the phantom study, the region with atrophy was detected successfully through the shape analysis process. In the human study, the average radii of the centromedial (CM) subregion in the left amygdala and laterobasal (LB), superficial (SF) and CM subregions in the right amygdala were different between sexes (t-tests, p=0.02, 0.04, 0.04, and 0.002, respectively). In addition, focal regions with larger radii in amygdalae of men than those of women were found predominantly on the surfaces of bilateral SF and bilateral CM subregions, after the volumes of the amygdala had been scaled to the unit volume (1000mm(3)) (Mann-Whitney U-test, false discovery rate corrected p<0.05, clustered vertex points>25). Regions with smaller radii in amygdalae of men were found predominantly on the anterior surfaces of the right LB and SF subregions (Mann-Whitney U-test, false discovery rate corrected p<0.05, clustered vertex points>25). This is generally in agreement with previous findings from animal studies. The current method may be used for measuring subtle local shape changes of the amygdala in various psychiatric or neurologic disorders.
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Prior studies in adults have found sex differences in the shape and volume of amygdala sub-regions and in resting-state functional connectivity of non-limbic brain regions.
“Previous studies in adults have reported sex differences in amygdala sub-region shape and volume (Kim et al., 2011, Kim et al., 2012) and in RSFC of non-limbic brain regions using a variety of analytic methods (Kilpatrick et al., 2006, Biswal et al., 2010, Tian et al., 2011, Casanova et al., 2012, Satterthwaite et al., 2014).”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Kim et al., 2011
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Developmental sex differences in resting state functional connectivity of amygdala sub-regions
Alarcón, G., Cservenka, A., Rudolph, M. D., Fair, D. A., & Nagel, B. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.013 · Cited by 105 · see citing works
Sex differences in amygdala subregions: evidence from subregional shape analysis
Kim, H. J., Kim, N., Kim, S., Hong, S., Park, K., Lim, S., Park, J.-M., Na, B., Chae, Y., Lee, J., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.025 · Cited by 40 · see citing works
Self-citation
- Authors
- Kim, N., Kim, H. J., Hwang, J., Yoon, S. J., Cho, H. B., Renshaw, P. F., Lyoo, I. K., & Kim, J. E.
- Affiliations
- University of Ulsan (KR)
- Seoul National University (KR)
- Soonchunhyang University (KR)
- Catholic University of Korea (KR)
- University of Utah (US)
- Venue
- Neuroscience Letters
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 488
- Issue
- 1
- Pages
- 65-69
- ISSN
- 0304-3940 (ISSN-L)
- PMC
- PMC5510472
- OpenAlex
- W1983682982
- Cited by
- 11
- References
- 43
- Citations by year
- 2019: 1 · 2018: 1 · 2016: 2 · 2015: 1 · 2014: 2 · 2012: 4
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience Letters (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Research Foundation (KRF-2007-511-H00002, 2009-0074584, 2009-0066915)
- Korea Research Foundation (KRF-2008-220-E00021)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Mathematics › Geometry and Topology › Morphological variations and asymmetry
- Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
- Keywords
- amygdala, shape analysis, spherical mapping, sex differences, amygdala atrophy, limbic system, T1-weighted imaging
- MeSH terms
- Amygdala, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Statistics, Nonparametric
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