Cerebral Cortex: brain resting state functional connection can predict postoperative effects of weight loss

Although bariatric surgery is the most effective way to treat obesity, some subjects have poor weight loss after surgery.

The research team used functional magnetic resonance imaging (fMRI) technology to analyze the baseline whole-brain RSFC, and integrated a multivariate prediction framework of feature selection, feature transformation, and classification to prospectively identify the best weight loss effect at 6 months after weight loss Of obese patients.

Legend: Leave-one-out cross-validation classification flowchart.

Table note: Comparison of prediction performance of Logistic regression (LR), support vector machine (SVM), back propagation neural network (BPNN) and Siamese-KNN

Further analysis of RSFC characteristics showed that the best weight loss group (OWL) had stronger connection strength between the frontal and parietal cortex than the second best weight loss group (SOWL).

Legend: The size of the edge reflects the difference in RSFC intensity between the OWL group and the SOWL group

In summary, the weight loss effect of bariatric surgery varies from person to person, and differences in brain function between individuals may affect the long-term success of sustained weight loss .

Zhang Wenchao, Ji Gang, Manza Peter et al.