Two basic neuroimaging-based characterizations of white matter tracts are the magnitude of water diffusion along the principal tract orientation (axial diffusivity, AD) and water diffusion perpendicular to the principal orientation (radial diffusivity, RD). It is generally accepted that decreases in AD reflect disorganization, damage, or loss of axons, whereas increases in RD are indicative of disruptions to the myelin sheath. Previous reports have detailed the heritability of individual AD and RD measures, but have not examined the extent to which the same or different genetic or environmental factors influence these two phenotypes (except for corpus callosum). We implemented bivariate twin analyses to examine the shared and independent ge...
Studies in adults indicate that white matter microstructure, assessed with diffusion tensor imaging ...
The complex interplay of nature and nurture make each individual unique in several ways; however, ce...
We collected MRI diffusion tensor imaging data from 80 younger (20–32 years) and 63 older (60–71 yea...
Two basic neuroimaging-based characterizations of white matter tracts are the magnitude of water dif...
There is evidence that differences among individuals in white matter microstructure, as measured wit...
Individual differences in white matter tract microstructure, measured with diffusion tensor imaging ...
Overall brain size is strikingly heritable throughout life. The influence of genes on variation in f...
Magnetic resonance imaging (MRI) has become an important tool in the early detection of age-related ...
We analyzed the degree of genetic control over intersubject variability in the microstructure of cer...
Increased mean diffusivity (MD) is hypothesized to reflect tissue degeneration and may provide subtl...
In diffusion tensor imaging (DTI), interpreting changes in terms of fractional anisotropy (FA) and m...
AbstractPurposePurpose of the study is to reveal the changes of directional diffusion in cerebral wh...
The aim of this paper is to investigate the common genetic influence on the cortical thickness (CT) ...
Objectives: The thickness of the brain’s cortical gray matter (GM) and the fractional anisotropy (FA...
r r Abstract: Diffusion tensor imaging (DTI) measures diffusion of molecular water, which can be use...
Studies in adults indicate that white matter microstructure, assessed with diffusion tensor imaging ...
The complex interplay of nature and nurture make each individual unique in several ways; however, ce...
We collected MRI diffusion tensor imaging data from 80 younger (20–32 years) and 63 older (60–71 yea...
Two basic neuroimaging-based characterizations of white matter tracts are the magnitude of water dif...
There is evidence that differences among individuals in white matter microstructure, as measured wit...
Individual differences in white matter tract microstructure, measured with diffusion tensor imaging ...
Overall brain size is strikingly heritable throughout life. The influence of genes on variation in f...
Magnetic resonance imaging (MRI) has become an important tool in the early detection of age-related ...
We analyzed the degree of genetic control over intersubject variability in the microstructure of cer...
Increased mean diffusivity (MD) is hypothesized to reflect tissue degeneration and may provide subtl...
In diffusion tensor imaging (DTI), interpreting changes in terms of fractional anisotropy (FA) and m...
AbstractPurposePurpose of the study is to reveal the changes of directional diffusion in cerebral wh...
The aim of this paper is to investigate the common genetic influence on the cortical thickness (CT) ...
Objectives: The thickness of the brain’s cortical gray matter (GM) and the fractional anisotropy (FA...
r r Abstract: Diffusion tensor imaging (DTI) measures diffusion of molecular water, which can be use...
Studies in adults indicate that white matter microstructure, assessed with diffusion tensor imaging ...
The complex interplay of nature and nurture make each individual unique in several ways; however, ce...
We collected MRI diffusion tensor imaging data from 80 younger (20–32 years) and 63 older (60–71 yea...