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Support vector machine (SVM) is a supervised machine learning method that capitalizes on brain activation and structural patterns to classify individuals.
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Current fMRI techniques can localize brain activity, graphically display patterns of brain activation, and determine their intensity by color-coding the strength of activation.
Relationships between brain activation and clinical symptoms were also examined.
Dr. Davidson said it was not clear what factors accounted for the differences in brain activation and immune response, but genetic and environmental influences might play a role.
The researchers compared patterns of brain activation and brain network connectivity between the two groups of children.
Structural magnetic resonance imaging (MRI) is used for assessment of white and gray-matter integrity and cerebrovascular perfusion, and functional MRI maps brain activation during rest and active task conditions.
Our analyses examined the relationship between genotypes and brain activation to sad distractors and attentional targets.
We hypothesized that neural compensation could be identified as a positive change in the relationship between performance and brain activation in association with relatively high levels of structural alterations reflecting the impact of the disease processes ('structural disease load').
These methods provide data on exposure-related structural changes, brain activation in response to standardized verbal and visual spatial problems, and brain biochemical processes.
After we become literate, we literally "think differently" about language: images of brain activation between literate and nonliterate humans bear this out.
They saw "clear and distinct" differences in brain activation between surgical novices and experts.
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