Genome-wide association studies GWAS link full genome data to a handful of traits. However, in neuroimaging studies, there is an almost unlimited number of traits that can be extracted for full image-wide big data analyses. Large populations are needed to achieve the necessary power to detect statistically significant effects, emphasizing the need to pool data across multiple studies. Neuroimaging consortia, e.g., ENIGMA and CHARGE, are now analyzing MRI data from over 30,000 individuals. Distributed processing protocols extract harmonized features at each site, and pool together only the cohort statistics using meta analysis to avoid data sharing. To date, such MRI projects have focused on single measures such as hippocampal volume, yet vo...
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, th...
Genome-Wide Association studies have typically been limited to univariate analysis in which a single...
Abstract. Imaging genetics aims to discover how variants in the human ge-nome influence brain measur...
Genome-wide association studies (GWAS) link full genome data to a handful of traits. However, in neu...
Large-scale distributed analyses of over 30,000 magnetic resonance imaging scans recently detected c...
Neuroimaging consortia such as ENIGMA can significantly improve power to discover factors that affec...
Most algorithms used for imaging genetics examine statistical effects of each individual genetic var...
Meta-analyses estimate a statistical effect size for a test or an analysis by combining results from...
Brain morphology has been shown to be highly heritable, yet only a small portion of the heritability...
Meta-analyses estimate a statistical effect size for a test or an analysis by combining results from...
Brain morphology has been shown to be highly heritable, yet only a small portion of the heritability...
Methods enabling the characterization of brain morphometry have evolved exponentially in the last de...
Genome-Wide Association studies have typically been limited to univariate analysis in which a single...
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, th...
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, th...
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, th...
Genome-Wide Association studies have typically been limited to univariate analysis in which a single...
Abstract. Imaging genetics aims to discover how variants in the human ge-nome influence brain measur...
Genome-wide association studies (GWAS) link full genome data to a handful of traits. However, in neu...
Large-scale distributed analyses of over 30,000 magnetic resonance imaging scans recently detected c...
Neuroimaging consortia such as ENIGMA can significantly improve power to discover factors that affec...
Most algorithms used for imaging genetics examine statistical effects of each individual genetic var...
Meta-analyses estimate a statistical effect size for a test or an analysis by combining results from...
Brain morphology has been shown to be highly heritable, yet only a small portion of the heritability...
Meta-analyses estimate a statistical effect size for a test or an analysis by combining results from...
Brain morphology has been shown to be highly heritable, yet only a small portion of the heritability...
Methods enabling the characterization of brain morphometry have evolved exponentially in the last de...
Genome-Wide Association studies have typically been limited to univariate analysis in which a single...
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, th...
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, th...
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, th...
Genome-Wide Association studies have typically been limited to univariate analysis in which a single...
Abstract. Imaging genetics aims to discover how variants in the human ge-nome influence brain measur...