Principal component regression results (analysis uncontrolled for grey matter lesion volume).
<p>Principal Component Regression analysis results obtained from the regression analysis between principal component scores for the first 9 principal components and Arm Position Matching Task Scores. The first 9 principal components explained 95% of the variance in white matter lesion load across the sample. Bolded p-values indicate those with significant relationships which survived FDR (5%) correction. Note: Analysis excludes grey matter lesion volume.</p> <p>(PDF)</p>
Publication Details
- Journal
- Figshare
- Published
- 2024-09-12
- DOI
- https://doi.org/10.1371/journal.pone.0310312.s009
- Primary Topic
- Advanced Electron Microscopy Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00