8 research outputs found
Regions discriminating between appetitive versus neutral emotional taste classification.
<p>Coordinates are shown in MNI, Wi: Highest weights within individual clusters.</p
GPC results of the classification between different emotional conditions.
<p>GPC results of the classification between different emotional conditions.</p
Regions discriminating between aversive versus neutral emotional taste classification.
<p>Coordinates are shown in MNI, Wi: Highest weights within individual clusters.</p
Classification probabilities for positive and negative classifiers.
<p>Classification probabilities for positive and negative classifiers.</p
Regions discriminating between for appetitive versus aversive emotional taste classification.
<p>Coordinates are shown in MNI, Wi: Highest weights within individual clusters.</p
Investigating the Predictive Value of Functional MRI to Appetitive and Aversive Stimuli: A Pattern Classification Approach - Fig 2
<p>2A. Discrimination maps for appetitive versus neutral emotional taste condition classification, the color code shows the relative weight of each voxel for the decision boundary (red scales: higher weights for neutral and blue scales: higher weights for appetitive; x, y, z, are in MNI coordinates). 2B. Discrimination maps for aversive versus neutral emotional taste condition classification (red scales: higher weights for neutral and blue scales: higher weights for aversive; x, y, z, are in MNI coordinates). 2C. Discrimination maps for appetitive versus aversive emotional taste condition classification (red scales: higher weights for aversive and blue scales: higher weights for appetitive; x, y, z, are in MNI coordinates). The z-coordinate for each axial slice in MNI space is given in millimeters.</p
Statistical parametric mapping (SPM) showing clusters in the left pregenual anterior cingulate cortex and the right ventral premotor cortex.
<p>There are significant differences in gray matter volume between the PTSD and control groups.</p
Characteristics of the sample population.
<p>Characteristics of the sample population.</p