Protocol for a machine learning algorithm predicting depressive disorders using the T1w/T2w ratio.
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ABSTRACT:
SUBMITTER: Baranger DAA
PROVIDER: S-EPMC8720909 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Publications
Protocol for a machine learning algorithm predicting depressive disorders using the T1w/T2w ratio.
Baranger David A A DAA Halchenko Yaroslav O YO Satz Skye S Ragozzino Rachel R Iyengar Satish S Swartz Holly A HA Manelis Anna A
MethodsX 20211202
The T1w/T2w ratio is a novel magnetic resonance imaging (MRI) measure that is thought to be sensitive to cortical myelin. Using this novel measure requires developing novel pipelines for the data quality assurance, data analysis, and validation of the findings in order to apply the T1w/T2w ratio for classification of disorders associated with the changes in the myelin levels. In this article, we provide a detailed description of such a pipeline as well as the reference to the scripts used in our ...[more]
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