Fig. 2
Plasma GFAP associations with regional cortical and subcortical NDI values. Note: A) illustrative map of cortical regions with significant associations (pFDR <  0.05) between cortical NDI values and plasma GFAP levels. Left and right hemispheres values were averaged for each cortical region. B) Relationship between the average of NDI values in the 7 significant cortical regions surviving correction for multiple comparisons and plasma GFAP levels. C) Illustrative map of subcortical regions showing significant associations (pFDR <  0.05) between subcortical NDI values and plasma GFAP levels. Left and right hemispheres values were averaged for each subcortical region. D and E) Relationships between NDI in the hippocampus/amygdala and plasma GFAP (pFDR = 0.042). All models used bootstrapped (5,000 iterations) linear regression analyses and were corrected for age and sex. Raw data points are overlaid to the predicted regression line. Shaded areas surrounding the regression lines represent the 95% confidence interval of the regression fit.

Plasma GFAP associations with regional cortical and subcortical NDI values. Note: A) illustrative map of cortical regions with significant associations (pFDR <  0.05) between cortical NDI values and plasma GFAP levels. Left and right hemispheres values were averaged for each cortical region. B) Relationship between the average of NDI values in the 7 significant cortical regions surviving correction for multiple comparisons and plasma GFAP levels. C) Illustrative map of subcortical regions showing significant associations (pFDR <  0.05) between subcortical NDI values and plasma GFAP levels. Left and right hemispheres values were averaged for each subcortical region. D and E) Relationships between NDI in the hippocampus/amygdala and plasma GFAP (pFDR = 0.042). All models used bootstrapped (5,000 iterations) linear regression analyses and were corrected for age and sex. Raw data points are overlaid to the predicted regression line. Shaded areas surrounding the regression lines represent the 95% confidence interval of the regression fit.

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