'Pscore' - A Novel Percentile-Based Metric to Accurately Assess Individual Deviations in Non-Gaussian Distributions of Quantitative MRI Metrics.

ABSTRACT:

Background

Quantitative MRI metrics could be used in personalized medicine to assess individuals against normative distributions. Conventional Zscore analysis is inadequate in the presence of non-Gaussian distributions. Therefore, if quantitative MRI metrics deviate from normality, an alternative is needed.

Purpose

To confirm non-Gaussianity of diffusion MRI (dMRI) metrics on a publicly available dataset, and to propose a novel percentile-based method, 'Pscore' to address this issue.

Study type

Retrospective cohort.

Population

961 healthy young-adults (age:22-35 years, Females:53%) from the Human Connectome Project.

Field strength/sequence

3-T, spin-echo diffusion echo-planar imaging, T1-weighted: MPRAGE.

Assessment

The dMRI data were preprocessed

SUBMITTER: Hafiz R 

PROVIDER: S-EPMC10723480 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature