Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
20426149
TITLE
Genetics of anisotropy asymmetry: registration and sample size effects.
ABSTRACT
Brain asymmetry has been a topic of interest for neuroscientists for many years. The advent of diffusion tensor imaging (DTI) allows researchers to extend the study of asymmetry to a microscopic scale by examining fiber integrity differences across hemispheres rather than the macroscopic differences in shape or structure volumes. Even so, the power to detect these microarchitectural differences depends on the sample size and how the brain images are registered and how many subjects are studied. We fluidly registered 4 Tesla DTI scans from 180 healthy adult twins (45 identical and fraternal pairs) to a geometrically-centered population mean template. We computed voxelwise maps of significant asymmetries (left/right hemisphere differences) for common fiber anisotropy indices (FA, GA). Quantitative genetic models revealed that 47-62% of the variance in asymmetry was due to genetic differences in the population. We studied how these heritability estimates varied with the type of registration target (T1- or T2-weighted) and with sample size. All methods consistently found that genetic factors strongly determined the lateralization of fiber anisotropy, facilitating the quest for specific genes that might influence brain asymmetry and fiber integrity.
DATE PUBLISHED
2009
HISTORY
PUBSTATUS PUBSTATUSDATE
entrez 2010/04/30 06:00
pubmed 2009/01/01 00:00
medline 2010/06/09 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Jahanshad N Jahanshad Neda N Laboratory of Neuro Imaging, Department of Neurology, UCLA, CA, USA.
Lee AD Lee Agatha D AD
Leporé N Leporé Natasha N
Chou YY Chou Yi-Yu YY
Brun CC Brun Caroline C CC
Barysheva M Barysheva Marina M
Toga AW Toga Arthur W AW
McMahon KL McMahon Katie L KL
de Zubicaray GI de Zubicaray Greig I GI
Wright MJ Wright Margaret J MJ
Thompson PM Thompson Paul M PM
INVESTIGATORS
JOURNAL
VOLUME: 12
ISSUE: Pt 2
TITLE: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
ISOABBREVIATION: Med Image Comput Comput Assist Interv
YEAR: 2009
MONTH:
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN:
ISSNTYPE:
MEDLINE JOURNAL
MEDLINETA: Med Image Comput Comput Assist Interv
COUNTRY: Germany
ISSNLINKING: 1433-7851
NLMUNIQUEID: 101249582
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, N.I.H., Extramural
Twin Study
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Anisotropy
Brain physiology
Diffusion Magnetic Resonance Imaging methods
Humans methods
Image Interpretation, Computer-Assisted methods
Imaging, Three-Dimensional methods
Phenotype methods
Reproducibility of Results methods
Sample Size methods
Sensitivity and Specificity methods
Twins genetics
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's