Principal component analysis loadings (analysis uncontrolled for grey matter lesion volume).

<p>The amount of variance explained (%), eigenvalues and principal component loading factors for the lesion load to each white matter tract, on the three principal components which displayed significant relationships with APM Task Score. Principal components are ordered according to the amount of variance explained. Variables are ordered according to their weighting on principal component 1. PC = principal component, SLF = superior longitudinal fasciculus, IFOF = inferior fronto occipital fasciculus, CST = corticospinal tract, ILF = inferior longitudinal fasciculus. Note: Analysis excluded 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.s010
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Principal component analysis loadings (analysis uncontrolled for grey matter lesion volume).

Figshare
Advanced Neuroimaging Techniques and Applications
article

Principal component analysis loadings (analysis uncontrolled for grey matter lesion volume).

article en

Abstract

<p>The amount of variance explained (%), eigenvalues and principal component loading factors for the lesion load to each white matter tract, on the three principal components which displayed significant relationships with APM Task Score. Principal components are ordered according to the amount of variance explained. Variables are ordered according to their weighting on principal component 1. PC = principal component, SLF = superior longitudinal fasciculus, IFOF = inferior fronto occipital fasciculus, CST = corticospinal tract, ILF = inferior longitudinal fasciculus. Note: Analysis excluded grey matter lesion volume.</p> <p>(PDF)</p>

Figshare
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Advanced Neuroimaging Techniques and Applications
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Principal component analysis loadings (analysis uncontrolled for grey matter lesion volume). · Figshare (2024) | TGRS Research Map | TGRS