Reduced cortical thickness associated with visceral fat and BMI

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/m2, 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.

[1]  A M Dale,et al.  Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Kathryn E. Demos,et al.  Cortical thickness of the cognitive control network in obesity and successful weight loss maintenance: A preliminary MRI study , 2012, Psychiatry Research: Neuroimaging.

[3]  Alan C. Evans,et al.  Cortical thickness analysis examined through power analysis and a population simulation , 2005, NeuroImage.

[4]  Nuria Bargallo,et al.  Assessment of cortical degeneration in patients with Parkinson's disease by voxel‐based morphometry, cortical folding, and cortical thickness , 2012, Human brain mapping.

[5]  E. Ringelstein,et al.  Serum C-reactive protein is linked to cerebral microstructural integrity and cognitive function , 2010, Neurology.

[6]  Jarett D. Berry,et al.  Associations of visceral and abdominal subcutaneous adipose tissue with markers of cardiac and metabolic risk in obese adults , 2012, Obesity.

[7]  Eileen Luders,et al.  Relationships between gray matter, body mass index, and waist circumference in healthy adults , 2013, Human brain mapping.

[8]  Nikolaus Weiskopf,et al.  A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging , 2009, NeuroImage.

[9]  A. Geliebter,et al.  Neuroimaging and obesity: current knowledge and future directions , 2012, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[10]  Riitta Parkkola,et al.  Obesity is associated with white matter atrophy: A combined diffusion tensor imaging and voxel‐based morphometric study , 2013, Obesity.

[11]  Kewei Chen,et al.  Fat-free body mass but not fat mass is associated with reduced gray matter volume of cortical brain regions implicated in autonomic and homeostatic regulation , 2013, NeuroImage.

[12]  S. Marenco,et al.  Regional Cerebral Blood Flow in Chronic Hypertension: A Correlative Study , 1993, Stroke.

[13]  Benjamin Thyreau,et al.  Correlation between high‐sensitivity C‐reactive protein and brain gray matter volume in healthy elderly subjects , 2013, Human brain mapping.

[14]  Max A. Viergever,et al.  The first taste is always with the eyes: A meta-analysis on the neural correlates of processing visual food cues , 2011, NeuroImage.

[15]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[16]  Fritz Schick,et al.  Identification and characterization of metabolically benign obesity in humans. , 2008, Archives of internal medicine.

[17]  Yun Jiao,et al.  Predictive models of autism spectrum disorder based on brain regional cortical thickness , 2010, NeuroImage.

[18]  Maite Garolera,et al.  Frontal cortical thinning and subcortical volume reductions in early adulthood obesity , 2013, Psychiatry Research: Neuroimaging.

[19]  Kewei Chen,et al.  Brain abnormalities in human obesity: A voxel-based morphometric study , 2006, NeuroImage.

[20]  Owen Carmichael,et al.  Associations Among Vascular Risk Factors, Carotid Atherosclerosis, and Cortical Volume and Thickness in Older Adults , 2012, Stroke.

[21]  L. Joseph,et al.  Obesity and C‐reactive protein in various populations: a systematic review and meta‐analysis , 2013, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[22]  Jorge L. Bernal-Rusiel,et al.  Determining the optimal level of smoothing in cortical thickness analysis: A hierarchical approach based on sequential statistical thresholding , 2010, NeuroImage.

[23]  Anders M. Dale,et al.  Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex , 2001, IEEE Transactions on Medical Imaging.

[24]  Sam K. Y. Sim,et al.  Adverse Associations between Visceral Adiposity, Brain Structure, and Cognitive Performance in Healthy Elderly , 2011, Front. Ag. Neurosci..

[25]  F. Schick,et al.  Standardized assessment of whole body adipose tissue topography by MRI , 2005, Journal of magnetic resonance imaging : JMRI.

[26]  Karl J. Friston,et al.  Why Voxel-Based Morphometry Should Be Used , 2001, NeuroImage.

[27]  Nalaka Gooneratne,et al.  Single Slice vs. Volumetric MR Assessment of Visceral Adipose Tissue: Reliability and Validity Among the Overweight and Obese , 2012, Obesity.

[28]  W. Markiewicz,et al.  Obesity is the major determinant of elevated C-reactive protein in subjects with the metabolic syndrome , 2004, International Journal of Obesity.

[29]  A. Villringer,et al.  Abdominal fat distribution and its relationship to brain changes: the differential effects of age on cerebellar structure and function: a cross-sectional, exploratory study , 2013, BMJ Open.

[30]  R. Veit,et al.  Functional network connectivity underlying food processing: disturbed salience and visual processing in overweight and obese adults. , 2013, Cerebral cortex.

[31]  P. Wolf,et al.  Visceral fat is associated with lower brain volume in healthy middle‐aged adults , 2010, Annals of neurology.

[32]  Jeroen de Bresser,et al.  Cerebral cortical thickness in patients with type 2 diabetes , 2010, Journal of the Neurological Sciences.

[33]  Lee Ryan,et al.  Structural brain differences and cognitive functioning related to body mass index in older females , 2009, Human brain mapping.