Sentence examples for parameters for brain from inspiring English sources

In contrast, the model parameters for brain structure (including liability thresholds) as well as the relationship with Sz are free parameters to be estimated from the data.

Coregistered images were normalized to the Montreal Neurological Institute average template (12 linear affine parameters for brain size and position, 8 nonlinear iterations, and 2 × 2 × 2 nonlinear basis functions).

WML and brain parenchymal fraction (BPF), as parameter for brain atrophy, at baseline and follow-up.

Furthermore, the method is useful for (ii) assessing the significance of each single parameter for brain activation (i.e. one-sample t-tests) to the comparison between different models (i.e. statistics for two or more samples), which normally differ only with respect to one out of a set of parametric regressors.

Initial results from a small pilot study to investigate the feasibility of an SUV parameter for brain SPECT imaging have demonstrated trends in survival of patients with initial SUVmax values above or below 1.5, and has suggested SUV may be able to indicate survival for patients who fall at the extreme ends of the spectrum (a very large (>3.5) or very low (<1.0) SUV).

In the situation of our cortical surface model, each subject's image contains several thousand unknowns, but only several dozen measurements (our specific surface model contained ~7,500 parameters for the brain and ~1,000 parameters for the skin model for each of HbO2 and Hb).

More recently, methods based on respiratory challenges that include both hypercapnia and hyperoxia have been developed to assess absolute CMRO2, an important parameter for understanding brain energetics.

Moderate lipophilicity (cLogP < 4) together with considerable topological polar surface area (TPSA 40 80 Å2) are defined as optimal combination of parameters for increased unbound brain concentrations of CNS drugs [80].

Affine transformation was performed to determine the 12 optimum parameters for registering the brain image to the template, and the subtle differences between the transformed image and the template were then removed using a nonlinear registration method.

As for the mouse liver simulation, parameters for the mouse brain simulation were determined from data from Mortazavi et al. (2008).

An affine transformation was performed to determine the 12 optimum parameters for registering the brain images on the template and the subtle differences between the transformed image and the template were then removed using a non-linear registration method.