Cerebellocerebral connectivity predicts body mass index: a new open-source Python-based framework for connectome-based predictive modeling.

ABSTRACT:

Background

The cerebellum is one of the major central nervous structures consistently altered in obesity. Its role in higher cognitive function, parts of which are affected by obesity, is mediated through projections to and from the cerebral cortex. We therefore investigated the relationship between body mass index (BMI) and cerebellocerebral connectivity.

Methods

We utilized the Human Connectome Project's Young Adults dataset, including functional magnetic resonance imaging (fMRI) and behavioral data, to perform connectome-based predictive modeling (CPM) restricted to cerebellocerebral connectivity of resting-state fMRI and task-based fMRI. We developed a Python-based open-source framework to perform CPM, a data-driven technique with built-in cross-validation to establish b

SUBMITTER: Bachmann T 

PROVIDER: S-EPMC11899596 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature