The ENIGMA (Enhancing NeuroImaging Genetics through Meta - Analysis) Consortium was set up to
analyze brain measures and genotypes from multiple sites across the world to improve the power to detect
Not exact matches
Data on the intensities of physical activity were then statistically
analyzed to determine how they corresponded with glucose metabolism — a
measure of neuronal health and activity — in areas of the
brain known to have depressed glucose metabolism in people with Alzheimer's disease.
According to Dr. Cameron Carter, Editor of Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, the study is an important example of how more sophisticated approaches to
analyzing brain imaging data examining transitions between mental states over time can
measure altered
brain dynamics that can identify subtle risk states or even track the transition from subclinical to clinical psychopathology.
Then, by
analyzing the rats»
brains, the team got another
measure of the gender difference.
The team then
measured levels of β - endorphin, an opioid produced by the
brain that's responsible for feelings of pleasure, and
analyzed the rodents» tail positions and sensitivity to pain and temperature.
Scientists can perturb the
brain with a magnet and
analyze its electrical response to
measure consciousness.
This is a way of
analyzing fMRI (functional magnetic resonance imaging) scans, which
measure activity in the
brain by looking at changes in blood oxygen.
Pathology data were
analyzed by three - way repeated -
measures ANOVA with genotype, exercise, and
brain region as factors.
Immunofluorescence detection of Abeta42 plaques and quantification of amyloid burden of
brain tissue were
measured and sections were
analyzed with Image J (NIH) software.