Back to search

Article

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

2023-12-10

Abstract excerpt

<h4>ABSTRACT</h4> <h4>BACKGROUND</h4> 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. <h4>PURPOSE</h4> To confirm non-Gaussianity of diffusion MRI (dMRI) metrics on...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
557e473a-f757-5cb6-8e51-7bc5503e8c25
DOI
10.1101/2023.12.10.571016
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
‘Pscore’ - A Novel Percentile-Based Metric to Accurately Assess Individual Deviations in Non-Gaussian Distributions of Quantitative MRI MetricsDOI 10.1101/2023.12.10.571016
Select a neighboring publication to make it the new centre.