Inverse association between BMI and prefrontal metabolic activity in healthy adults

Abstract

Obesity has been associated with a higher risk for impaired cognitive function, which most likely reflects associated medical complications (i.e., cerebrovascular pathology). However, there is also evidence that in healthy individuals excess weight may adversely affect cognition (executive function, attention, and memory). Here, we measured regional brain glucose metabolism (using positron emission tomography (PET) and 2-deoxy-2[(18)F]fluoro-D-glucose (FDG)) to assess the relationship between BMI and brain metabolism (marker of brain function) in 21 healthy controls (BMI range 19-37 kg/m(2)) studied during baseline (no stimulation) and during cognitive stimulation (numerical calculations). Statistical parametric mapping (SPM) revealed a significant negative correlation between BMI and metabolic activity in prefrontal cortex (Brodmann areas 8, 9, 10, 11, 44) and cingulate gyrus (Brodmann area 32) but not in other regions. Moreover, baseline metabolism in these prefrontal regions was positively associated with performance on tests of memory (California Verbal Learning Test) and executive function (Stroop Interference and Symbol Digit Modality tests). In contrast, the regional brain changes during cognitive stimulation were not associated with BMI nor with neuropsychological performance. The observed association between higher BMI and lower baseline prefrontal metabolism may underlie the impaired performance reported in healthy obese individuals on some cognitive tests of executive function. On the other hand, the lack of an association between BMI and brain metabolic activation during cognitive stimulation indicates that BMI does not influence brain glucose utilization during cognitive performance. These results further highlight the urgency to institute public health interventions to prevent obesity.

Conflict of interest statement

DISCLOSURE

The authors declared no conflict of interest.

Figures

Figure 1

Images showing the areas where BMI correlated negatively with absolute metabolic measures (statistical parametric mapping (SPM), P < 0.005, uncorrected). There were no regions where BMI showed a positive correlation with metabolism.

Figure 2

Regression slopes between BMI and baseline metabolism in prefrontal regions (Brodmann area (BA) 9 and 10) and anterior cingulate gyrus (BA 32). Regional metabolic values correspond to averaged left and right regions. Females are identified as open circles and males as closed circles.