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Monroe et al. improved the usability of the system by integrating interval-based events and developing a set of user-driven simplification techniques in conjunction with a metric for measuring visual complexity [ 13, 28].
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The preoperative and postoperative visual function assessment involved measuring visual acuity using formal visual field testing.
To do so, we used magnetoencephalography (MEG) to measure visual evoked responses when humans viewed two forms (lines and rhomboids) of increasing complexity.
Clinical Centers measured visual fields prospectively.
The picture completion subtest measures visual perception, specifically, alertness to visual detail [ 93].
These stimuli have previously been used in fMRI studies in people with anorexia nervosa (AN) and HCs; the size of the images in the compression format JPG was used as an exploratory measure for objective visual complexity, and images of the body and interior design pictures were matched for visual complexity [ 17, 38].
Fractal dimensions are calculated to assess the visual complexity of the roof surface and branching supports.
Visual complexity can be measured either through mean subjective ratings of images' detail, or objectively through jpeg file size.
This is due to the fact that, unlike subjective visual complexity ratings, objective measures are independent of culture-specific expectations about the "best" way to represent a given concept.
Because different categories of objects differ with respect to visual complexity and familiarity measures, that is, vehicles and animals contain more visual information and tend to be rated as less familiar than fruits and tools, we split each domain into two groups, such that half of the objects were visually complex (animals, vehicles) and half visually simple (fruits/vegetables, tools).
Therefore, we efficiently reduced the number of measures using PCA (for a similar procedure, see Hauk et al. 2009) (PCA was not carried out for Visual Complexity since this variable corresponded to a single measure).
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