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. 2024 Jun 27;20(8):5792–5799. doi: 10.1002/alz.13899

TABLE 2.

This table includes results from linear regression analysis using motor performance as the predictor and biomarker burden in select ROIs as outcomes.

Linear regression analysis predicting each NIH motor assessment outcome by ROI biomarker burden
Grip Walking speed Dexterity
Neurodegeneration β p β p β p
Precentral cortex 0.003 0.957 0.227 0.001 0.213 0.003
Parahippocampus 0.109 0.054 0.087 0.232 0.212 0.004
Entorhinal cortex 0.079 0.166 0.127 0.082 0.278 0.0001
Aβ burden            
 Precentral cortex 0.071 0.464 0.191 0.157 0.426 0.001
 Parahippocampus 0.080 0.403 0.185 0.166 0.263 0.046
 Hippocampus 0.059 0.532 0.114 0.391 0.085 0.521
Tau burden            
 Precentral cortex 0.105 0.256 0.101 0.474 0.530 <0.0001
 Parahippocampus 0.045 0.623 0.010 0.945 0.477 0.0002
 Hippocampus 0.124 0.182 0.012 0.932 0.341 0.011

Note: All models controlled for participant age and sex and corrected for multiple comparisons using the Benjamini–Hochberg (1995) procedure. The NIH motor assessment outcomes included the grip strength dynamometer, 2‐minute walking speed, and 9‐hole peg dexterity tests.

Abbreviations: Aβ, amyloid beta; NIH, National Institutes of Health; ROI, region of interest. Statistically significant P values are bolded.