Neuroanatomical profile of BMI implicates impulsive delay discounting and general cognitive ability.
Hui XuMax M OwensJames M MacKillopPublished in: Obesity (Silver Spring, Md.) (2023)
Taken together, these findings reveal a robust machine learning-derived neuroanatomical profile of BMI, one that comprises nodes in motivational brain networks and suggests the functional links to obesity are via self-regulatory capacity and cognitive function.
Keyphrases
- weight gain
- machine learning
- body mass index
- insulin resistance
- metabolic syndrome
- weight loss
- type diabetes
- white matter
- artificial intelligence
- genome wide
- resting state
- sentinel lymph node
- high fat diet induced
- big data
- gene expression
- multiple sclerosis
- adipose tissue
- physical activity
- cerebral ischemia
- brain injury