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Purpose/Aim: Heart failure patients often require assistance with activities of daily living, including driving. Recent work shows heart failure patients commit more errors on a simulated driving task relative to controls and cognitive dysfunction contributed to these errors. We sought to extend these findings by examining whether structural magnetic resonance imaging indices correlate with driving independence and performance in heart failure. Materials and Methods: Forty-nine heart failure patients underwent brain magnetic resonance imaging and performed a battery assessing attention/executive function and memory. A self-report instrument was used to assess independence in transportation. A subset of heart failure participants ( N = 8) completed a validated driving simulator scenario. Results: Among the larger sample ( N = 49), reduced gray matter correlated with greater dependence in transportation and worse attention/executive function; in turn, worse attention/executive function predicted greater assistance with transportation ( p < 0.05). Among the subset that completed the driving simulator ( N = 8), reduced gray matter correlated with more stop signs missed and increased white matter hyperintensities correlated with greater collisions, centerline crossings and time out of lane ( p < 0.05). Poorer attention/executive function was also associated with more time over the speed limit on the driving simulation ( p < 0.05). Follow-up analyses showed the above effects were largely independent of age. Conclusions: Reduced structural brain integrity is associated with poorer reported and simulated driving in persons with heart failure. Larger prospective studies that employ on-road testing are needed to clarify brain changes and risk for unsafe driving in heart failure. [ABSTRACT FROM AUTHOR]

Obesity is associated with cognitive dysfunction in children and adolescents, although the mechanisms underlying these deficits remain unclear. This study examined the associations between body mass index (BMI) and regional gray matter volume and white matter integrity in 120 healthy children and adolescents (6-18 years of age) who underwent magnetic resonance and diffusion tensor imaging. Bonferroni-corrected partial correlation analyses controlling for demographic and clinical characteristics revealed significant inverse associations between demographically standardized BMI values and gray matter volume of frontal ( r = −0.31) and limbic ( r = −0.35) brain regions. No such pattern emerged for fractional anisotropy of white matter tracts. Subsequent hierarchical regression analyses indicated that the relationship between standardized BMI and structural gray and white matter brain indices did not vary with age. These findings suggest that obesity in children and adolescents is associated with decreased volume of frontal and limbic cerebral gray matter regions. Further research is much needed to better elucidate possible brain-based mechanisms for cognitive dysfunction associated with obesity. [ABSTRACT FROM AUTHOR]

Left atrial (LA) diameter is easily attainable from echocardiograph and sensitive to underlying cardiovascular disease severity, although its association with neurocognitive outcomes is not well understood. Fifty older adults (64.50 ± 9.41 years), recruited from outpatient cardiology clinics and local papers who underwent magnetic resonance imaging, were administered the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), and completed psychosocial self-report measures. LA diameter was quantified using echocardiogram. Hierarchical regression analyses revealed that greater LA size was independently associated with reduced performance on the following RBANS composites: language, delayed memory, and total index ( p < 0.05 for all). Hierarchical regression analysis demonstrated no significant association between LA diameter and whole brain volume ( p > 0.05). The current study suggests that greater LA size is associated with cognitive dysfunction in older adults and prospective studies are needed to validate these findings and elucidate underlying mechanisms. [ABSTRACT FROM AUTHOR]