This repository contains various resources related to the study on post-stroke recovery in a mouse model, focusing on the application of the Proportional Recovery Rule (PRR).
code/
: Contains all the code used for the analysis in this study. Detailed information is available in the README within the code folder.input/
: This folder contains all datasets used in the publication.output/
: This directory includes the final results generated for each dataset. Detailed information for each dataset's output can be found in their respective subfolders.docs/
: Additional documentation related to this project, including extra resources in the form of a README file within this folder.The Fugl-Meyer upper extremity score is a widely used assessment tool in clinical settings to evaluate motor function in stroke patients. With a maximum score of 66, higher values indicate better motor performance, while lower values signify greater deficits.
The Proportional Recovery Rule (PRR) suggests that the magnitude of recovery from nonsevere upper limb motor impairment after stroke is approximately 0.7 times the initial impairment. This rule, proposed in 2008, has been applied to various motor and nonmotor impairments, leading to inconsistencies in its formulation and application across studies.
In this study, we translated the Fugl-Meyer upper extremity score into a deficit score suitable for use in a mouse model. The PRR posits that the change in impairment can be predicted as 0.7 times the initial impairment, plus an error term. We adapted this rule by fitting a linear regression model without an intercept to relate the initial impairment to the change in impairment.
Initial Impairment Calculation:
Change Observed and Predicted:
Cluster Analysis:
Outlier Removal:
Cluster Characteristics:
Statistical Analysis:
This structured dataset was created with reference to the following publication:
DOI:10.1038/s41597-023-02242-8
If you have any questions or require further assistance, please do not hesitate to reach out to us. Contact us via email at markus.aswendtATuk-koeln.de or aref.kalantari-sarcheshmehATuk-koeln.de.