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. 2018 Sep;69:274–282. doi: 10.1016/j.neurobiolaging.2018.05.029

Table 2.

Cross-sectional (age 73 y) and longitudinal (age 73 y to age 76 y) associations between S100β and MRI variables

Variable Cross-sectional (age 73 y) 95% CI
Longitudinal (age 73–76 y) 95% CI
Lower Upper Lower Upper
WMHa −0.019 (0.634) −0.092 0.074 0.082 (0.095) 0.002 0.174
PVS −0.034 (0.475)b −0.132 0.050 −0.096 (0.041)b −0.183 −0.007
gFA 0.150 (0.001) −0.233 −0.065 −0.083 (0.154) −0.199 0.038
gMD 0.003 (0.941) −0.099 0.114 −0.019 (0.717) −0.135 0.075
GM 0.061 (0.133) −0.021 0.127 −0.050 (0.309) −0.138 0.049
TBV 0.045 (0.272) −0.024 0.125 −0.044 (0.364) −0.136 0.044

Data are shown as standardized coefficients (p values), with bootstrapped 95% confidence intervals (CIs) from 1000 draws.

Bold text indicates FDR q < 0.05.

Key: FDR, false discovery rate; gFA, general factor of white matter tract fractional anisotropy; gMD, general factor of white matter tract mean diffusivity; GM, gray matter volume; PVS, perivascular space rating; TBV, total brain volume; WMH, white matter hyperintensity volume.

a

log transformed.

b

coefficients are for associations between visually rated PVS change (rather than a latent change score) with S100β level and change.