Biomarkers.

Background: Obesity in midlife, body mass index (BMI) of 30 kg/m or higher, is recognized as a contributor to Alzheimer disease (AD) later in life. Adiposity in visceral tissues such as liver is associated with increased systemic inflammation and impaired cognition. In this study, we aimed to investigate the relationship between MRI-derived Positron Density Fat Fraction (PDFF) and brain histology and neuroinflammation using Diffusion Basis Spectrum Imaging (DBSI) in cognitively normal midlife individuals.

Biomarkers.

Background: Obesity in midlife is a risk factor for developing Alzheimer disease later in life. However, the metabolic and inflammatory effects of body fat varies based on its anatomical localization. In this study, we aimed to investigate the association of MRI-derived abdominal visceral and subcutaneous adipose tissue (VAT and SAT), liver proton-density fat fraction (PDFF), thigh fat-to-muscle ratio (FMR), and insulin resistance with whole-brain amyloid burden in cognitively normal midlife individuals.

Biomarkers.

Background: Obesity in midlife, defined as body mass index (BMI) of 30 kg/m or higher in those between 40-60 years, is related to higher Alzheimer's disease (AD) later in life. Non-alcoholic fatty liver disease, as a complication of obesity is associated with impaired cognitive function. We investigated the relationship between hepatic fat quantification by use of MRI-derived Positron Density Fat Fraction (PDFF) and brain cortical thickness in cognitively normal midlife individuals.

Biomarkers.

Background: Within the research field of neurodegenerative disorders, unbiased analysis of body fat composition, particularly muscle mass, is gaining attention as a potential biological marker for refining Alzheimer's disease risk. The objective of this study was to employ a deep learning model for fully automated and accurate segmentation of thigh tissues, potentially contributing to early Alzheimer's diagnostics.

Method: In an IRB-approved study, 49 participants underwent thigh Dixon MRI scans with a TR=9.

Biomarkers.

Background: Emerging research underscores the significance of midlife obesity, defined by a BMI of 30 kg/m or higher in persons age 40-60 years, as a risk factor for Alzheimer's disease (AD) in later life. Due to the various properties of each body component, it is important to characterize the neurodegenerative effects of fat within the muscle, known as a predictor of metabolic health and cognition. We investigated the relationships between thigh total fat-to-muscle ratio (FMR) and brain cortical thickness in cognitively normal midlife individuals.

Alzheimer's Imaging Consortium.

Background: Obesity in midlife, body mass index (BMI) of 30 kg/m2 or higher, is recognized as a contributor to Alzheimer disease (AD) later in life. Adiposity in visceral tissues such as liver is associated with increased systemic inflammation and impaired cognition. In this study, we aimed to investigate the relationship between MRI-derived Positron Density Fat Fraction (PDFF) and brain histology and neuroinflammation using Diffusion Basis Spectrum Imaging (DBSI) in cognitively normal midlife individuals.

Alzheimer's Imaging Consortium.

Background: Obesity in midlife is a risk factor for developing Alzheimer disease later in life. However, the metabolic and inflammatory effects of body fat varies based on its anatomical localization. In this study, we aimed to investigate the association of MRI-derived abdominal visceral and subcutaneous adipose tissue (VAT and SAT), liver proton-density fat fraction (PDFF), thigh fat-to-muscle ratio (FMR), and insulin resistance with whole-brain amyloid burden in cognitively normal midlife individuals.

Relationships between abdominal adipose tissue and neuroinflammation with diffusion basis spectrum imaging in midlife obesity.

Objective: This study investigated how obesity, BMI ≥ 30 kg/m, abdominal adiposity, and systemic inflammation relate to neuroinflammation using diffusion basis spectrum imaging.

Methods: We analyzed data from 98 cognitively normal midlife participants (mean age: 49.4 [SD 6.