Baseline gray- and white-matter volume predict successful weight loss in the elderly.

ABSTRACT:

Objective

The purpose of this study was to investigate whether structural brain phenotypes could be used to predict weight loss success following behavioral interventions in older adults with overweight or obesity and cardiometabolic dysfunction.

Methods

A support vector machine with a repeated random subsampling validation approach was used to classify participants into the upper and lower halves of the weight loss distribution following 18 months of a weight loss intervention. Predictions were based on baseline brain gray matter and white matter volume from 52 individuals who completed the intervention and a magnetic resonance imaging session.

Results

The support vector machine resulted in an average classification accuracy of 72.62% based on gray matter and white m

SUBMITTER: Mokhtari F 

PROVIDER: S-EPMC5125887 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature