Classifying youth with bipolar disorder versus healthy youth using cerebral blood flow patterns.

ABSTRACT:

Background

Clinical neuroimaging studies often investigate group differences between patients and controls, yet multivariate imaging features may enable individual-level classification. This study aims to classify youth with bipolar disorder (BD) versus healthy youth using grey matter cerebral blood flow (CBF) data analyzed with logistic regressions.

Methods

Using a 3 Tesla magnetic resonance imaging (MRI) system, we collected pseudo-continuous, arterial spin-labelling, resting-state functional MRI (rfMRI) and T ₁-weighted images from youth with BD and healthy controls. We used 3 logistic regression models to classify youth with BD versus controls, controlling for age and sex, using mean grey matter CBF as a single explanatory variable, quantitative CBF fea

SUBMITTER: Luciw NJ 

PROVIDER: S-EPMC10473037 | biostudies-literature | 2023 Jul-Aug

REPOSITORIES: biostudies-literature