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. 2024 May 18;16:112. doi: 10.1186/s13195-024-01477-w

Table 2.

Model 1 Linear regression results between a blood biomarker and an imaging biomarker

Serum NfL Plasma NTA Plasma t-tau Plasma GFAP
Predictors Estimate R2 p Estimate R2 p Estimate R2 p Estimate R2 p
WMH, slope (95% CI) 0.011 (0.0044 to 0.019) 0.18 0.017 0.0047(-0.012 to 0.022) 0.072 0.62 -0.004 (-0.012 to 0.0036) 0.075 0.37 0.0064 (-0.0023 to 0.015) 0.0066 0.20
MTA, slope (95% CI) 0.16 (0.038 to 0.28) 0.14 0.025 0.42 (0.13 to 0.71) 0.19 0.026 0.063 (-0.045 to 0.21) 0.082 0.29 0.20 (0.067 to 0.34) 0.11 0.022
PiB, slope (95% CI) 0.15 (-0.029 to 0.32) 0.030 0.15 0.16 (-0.26 to 0.58) -0.0080 0.53 0.074 (-0.12 to 0.27) -0.0075 0.52 0.26 (0.069 to 0.46) 0.10 0.022

Serum NfL = neurofilament light, Plasma NTA = N-terminal tau marker, Plasma t-tau = Quanterix total tau marker, Plasma GFAP = glial fibrillary acidic protein, WMH = volumes of white matter hyperintensities, MTA = medial temporal lobe atrophy score, PiB = [11C]PiB composite score. Blood biomarker values are log transformed. WMH and MTA adjusted for MRI scanner. P < 0.05 are bolded. P-values are FDR-corrected including all p-values from tables 1, 2, 3, and 4. Blood biomarker values were log transformed