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DOI 10.1016/j.nicl.2014.09.013

Медицинская библиотека · NeuroImage. Clinical · 2014

Reduced cortical thickness associated with visceral fat and BMI.

Veit Ralf, Kullmann Stephanie, Heni Martin, Machann Jürgen, Häring Hans-Ulrich, Fritsche Andreas, Preissl Hubert

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Structural brain imaging studies have shown that obesity is associated with widespread reductions in gray matter (GM) volume. Although the body mass index (BMI) is an easily accessible anthropometric measure, substantial health problems are more related to specific body fat compartments, like visceral adipose tissue (VAT). We investigated cortical thickness measures in a group of 72 healthy subjects (BMI range 20-35 kg/m(2), age range 19-50 years). Multiple regression analyses were performed using VAT and BMI as predictors and age, gender, total surface area and education as confounds. BMI and VAT were independently associated with reductions in cortical thickness in clusters comprising the left lateral occipital area, the left inferior temporal cortex, and the left precentral and inferior parietal area, while the right insula, the left fusiform gyrus and the right inferior temporal area showed a negative correlation with VAT only. In addition, we could show significant reductions in cortical thickness with increasing VAT adjusted for BMI in the left temporal cortex. We were able to detect widespread cortical thinning in a young to middle-aged population related to BMI and VAT; these findings show close resemblance to studies focusing on GM volume differences in diabetic patients. This may point to the influence of VAT related adverse effects, like low-grade inflammation, as a potentially harmful factor on brain integrity already in individuals at risk of developing diabetes, metabolic syndromes and arteriosclerosis.

Для цитирования: Veit Ralf, Kullmann Stephanie, Heni Martin, Machann Jürgen, Häring Hans-Ulrich, Fritsche Andreas, Preissl Hubert. Reduced cortical thickness associated with visceral fat and BMI.. NeuroImage. Clinical. 2014. DOI: 10.1016/j.nicl.2014.09.013.

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