We analyzed the degree of genetic control over intersubject variability in the microstructure of cerebral white matter (WM) using diffusion tensor imaging (DTI). We performed heritability, genetic correlation and quantitative trait loci (QTL) analyses for the whole-brain and 10 major cerebral WM tracts. Average measurements for fractional anisotropy (FA), radial (L( perpendicular)) and axial (L( vertical line)) diffusivities served as quantitative traits. These analyses were done in 467 healthy individuals (182 males/285 females; average age 47.9+/-13.5 years; age range: 19-85 years), recruited from randomly-ascertained pedigrees of extended families. Significant heritability was observed for FA (h(2)=0.52+/-0.11; p=10(-7)) and L( perpendic...
AbstractThe ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to ...
OBJECTIVES: The thickness of the brain's cortical gray matter (GM) and the fractional anisotropy (FA...
Individual variations of white matter (WM) tracts are known to be associated with various cognitive ...
We analyzed the degree of genetic control over intersubject variability in the microstructure of cer...
Individual differences in white matter tract microstructure, measured with diffusion tensor imaging ...
The degree to which genetic factors influence brain connectivity is beginning to be understood. Larg...
There is evidence that differences among individuals in white matter microstructure, as measured wit...
Magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) measures of brain volume, cortic...
The degree to which genetic factors influence brain connectivity is beginning to be understood. Larg...
The degree to which genetic factors influence brain connectivity is beginning to be understood. Larg...
The degree to which genetic factors influence brain connectivity is beginning to be understood. Larg...
Understanding the genetic factors underlying brain structural connectivity is a major challenge in i...
Understanding the genetic factors underlying brain structural connectivity is a major challenge in i...
Objectives: The thickness of the brain’s cortical gray matter (GM) and the fractional anisotropy (FA...
The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to analyze ...
AbstractThe ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to ...
OBJECTIVES: The thickness of the brain's cortical gray matter (GM) and the fractional anisotropy (FA...
Individual variations of white matter (WM) tracts are known to be associated with various cognitive ...
We analyzed the degree of genetic control over intersubject variability in the microstructure of cer...
Individual differences in white matter tract microstructure, measured with diffusion tensor imaging ...
The degree to which genetic factors influence brain connectivity is beginning to be understood. Larg...
There is evidence that differences among individuals in white matter microstructure, as measured wit...
Magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) measures of brain volume, cortic...
The degree to which genetic factors influence brain connectivity is beginning to be understood. Larg...
The degree to which genetic factors influence brain connectivity is beginning to be understood. Larg...
The degree to which genetic factors influence brain connectivity is beginning to be understood. Larg...
Understanding the genetic factors underlying brain structural connectivity is a major challenge in i...
Understanding the genetic factors underlying brain structural connectivity is a major challenge in i...
Objectives: The thickness of the brain’s cortical gray matter (GM) and the fractional anisotropy (FA...
The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to analyze ...
AbstractThe ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to ...
OBJECTIVES: The thickness of the brain's cortical gray matter (GM) and the fractional anisotropy (FA...
Individual variations of white matter (WM) tracts are known to be associated with various cognitive ...