Brain segmentation unmasks association between body composition and central nervous system structures

Katarzyna Katulska; Mateusz Wykrętowicz; Jarosław Piskorski

doi:10.20883/medical.e56

Authors

Katarzyna Katulska Department of Radiology, Poznan University of Medical Sciences, Poland
Mateusz Wykrętowicz Department of Cardiology – Intensive Therapy, Poznan University of Medical Sciences, Poland
Jarosław Piskorski Institute of Physics, University of Zielona Góra, Poland

DOI:

https://doi.org/10.20883/medical.e56

Keywords:

body fat, body mass index, gray matter volume, hippocampus, thalamus, brain segmentation

Abstract

Introduction. Excess body fat is currently the major health problem. We suggest that marker of fatness like BMI or percent of body fat are associated with gray matter volume (GMV) or brain areas responsible for cognitive functions.
Material and methods. Study was performed in 89 healthy individuals (mean age 58 yrs, 51 women).
For brain segmentation and GMV we used whole-brain, high-resolution 3D T1-weighted images. For assessment of the fat content as a proportion of total body mass a bio-impedance analyzer was used.
Result. GMV was correlated, significantly and negatively with age but was not associated either with BMI nor body fat content. Body fat content was significantly and negatively associated with hippocampus and thalamus.
Conclusion. We demonstrate that brain segmentation was able to unmask the association between body fat content and brain structures particularly involved in cognitive function.

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