A functional connectome signature of blood pressure in >30 000 participants from the UK biobank.

ABSTRACT:

Aims

Elevated blood pressure (BP) is a prevalent modifiable risk factor for cardiovascular diseases and contributes to cognitive decline in late life. Despite the fact that functional changes may precede irreversible structural damage and emerge in an ongoing manner, studies have been predominantly informed by brain structure and group-level inferences. Here, we aim to delineate neurobiological correlates of BP at an individual level using machine learning and functional connectivity.

Methods and results

Based on whole-brain functional connectivity from the UK Biobank, we built a machine learning model to identify neural representations for individuals' past (∼8.9 years before scanning, N = 35 882), current (N = 31 367), and future (∼2.4 years follow-up, N = 3 138) BP levels

SUBMITTER: Jiang R 

PROVIDER: S-EPMC10262183 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature