Beautiful People in the Brain of the Beholder

2021 ◽  
pp. 48-51
Author(s):  
Anjan Chatterjee

In the paper discussed in this chapter, the authors were interested in the neural underpinnings for facial beauty and whether such responses were automatic. In a functional magnetic resonance imaging study over two sessions, the authors asked participants to make beauty and identity judgments on a series of computer-generated faces. When people judged beauty, the authors found that neural activity varied parametrically to the degree of facial attractiveness in the fusiform face area and the lateral occipital complex, as well as in parts of parietal and frontal cortices. When people made familiarity judgments, the authors observed the same modulation of neural activity within occipital cortex to the degree of attractiveness in the faces. The data suggested that human brains automatically respond to facial beauty even when people might be attending to other aspects of the faces they apprehend.

2020 ◽  
Vol 26 (2) ◽  
pp. 67-73
Author(s):  
N.I. Maryenko ◽  
O.Yu. Stepanenko

In recent years, fractal analysis has been increasingly used as a morphometric method, which allows to assess the complexity of the organization of quasi-fractal biological structures, including the cerebellum. The aim of the study was to determine the value of fractal dimension of phylogenetically different parts of the cerebellum by studying magnetic resonance imaging of the brain using the method of pixel dilation and to identify gender and age characteristics of individual variability of fractal dimension of the cerebellum and its external linear contour. The study was performed on the magnetic resonance images of the brain of 120 relatively healthy patients in age 18-86 years (65 women, 55 men). T2 weighted tomographic images were investigated. Fractal analysis was performed using the method of pixel dilation in the author’s modification. Fractal dimension (FD) values were determined for cerebellar tomographic images segmented with brightness values of 100 (FD100), 90 (FD90) and in the range of 100-90 (FD100-90 or fractal dimension of the outer cerebellar contour) in its upper and lower lobes, which include phylogenetically different zones. The obtained data were processed using generally accepted statistical methods. The average value of FD100 of the upper lobe of the cerebellum was 1.816±0.005, the lower lobe – 1.855±0.005. The average value of FD90 of the upper lobe of the cerebellum was 1.734±009, the lower lobe – 1.768±0.009. The average value of FD100-90 of the upper lobe of the cerebellum was 1.370±0.009, the lower lobe – 1.431±0.008. All three values of the fractal dimension of the lower lobe, which lobules have a lower phylogenetic age, are statistically significantly higher than the corresponding values of the fractal dimension of the upper lobe, have a more pronounced correlation with age than in the upper lobe. The developed research algorithm can be used to assess the condition of the cerebellum as an additional morphometric method during magnetic resonance imaging study of the brain.


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