A systematic review of diffusion tensor imaging studies in obesity.
Liana OkudzhavaMarcus HeldmannThomas F MüntePublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2021)
Obesity is a major global health problem leading to serious complications. It has been consistently associated with alterations in brain structure. Diffusion tensor imaging is used to examine brain white matter microstructure by assessing the dynamics of water diffusion in white matter tracts. Fractional anisotropy and mean diffusivity are two parameters measuring the directionality and rate of diffusion, respectively. Changes in these indices associated with obesity have been previously reported in numerous fiber tracts. This systematic review investigates microstructural white matter alterations in obesity using diffusion tensor imaging. A computerized search was performed in PubMed, Web of Science, and Livivo databases. Based on the inclusion/exclusion criteria, 31 cross-sectional studies comparing individuals with obesity and lean controls were identified. The studies included mixed-gender samples of children, young, middle-aged, and older adults. The majority of included studies reported decreased fractional anisotropy and increased mean diffusivity associated with elevated body mass index, suggesting white matter abnormalities. Nevertheless, a pattern of alterations is inconsistent across studies. This could be explained by several potential biases assessed by the National Institute of Health quality assessment tool. Furthermore, a direct assessment of body fat is recommended for a more accurate characterization of the brain-body relationship.
Keyphrases
- white matter
- insulin resistance
- multiple sclerosis
- metabolic syndrome
- weight gain
- weight loss
- type diabetes
- high fat diet induced
- systematic review
- body mass index
- case control
- public health
- global health
- cross sectional
- healthcare
- physical activity
- adipose tissue
- mental health
- randomized controlled trial
- quality improvement
- high resolution
- risk assessment
- climate change
- machine learning
- functional connectivity
- body composition
- blood brain barrier
- human health
- clinical evaluation