Table 2.
Linear Mixed Model Statistics for Time by Biomarker Interactions on Clinical Trajectories
| Dependent variable | Biomarker | No. (subjects/observations) | B/SE | T | p Value |
| CBS clinical composite score | Global PI-2620 tau-PET | 21/64 | −0.059/0.025 | −2.395 | 0.021 |
| Cortical PI-2620 tau-PET | −0.063/0.027 | −2.352 | 0.024 | ||
| Subcortical PI-2620 tau-PET | −0.286/0.184 | −1.577 | 0.127 | ||
| Global TSPO-PET | 16/51 | 0.109/0.050 | 2.185 | 0.036 | |
| Cortical TSPO-PET | 0.118/0.060 | 1.971 | 0.057 | ||
| Subcortical TSPO-PET | 0.660/0.243 | 2.716 | 0.011 | ||
| Global gray matter volume | 17/53 | 0.040/0.031 | 1.282 | 0.209 | |
| Cortical gray matter volume | 0.044/0.033 | 1.336 | 0.190 | ||
| Subcortical gray matter volume | 0.171/0.351 | 0.488 | 0.628 | ||
| NfL | 20/62 | −0.230/0.111 | −2.073 | 0.044 | |
| GFAP | 19/59 | −0.020/0.027 | −0.755 | 0.455 | |
| PSPRS | Global PI-2620 tau-PET | 21/64 | 0.001/0.0005 | 2.329 | 0.025 |
| Cortical PI-2620 tau-PET | 0.001/0.0005 | 2.318 | 0.026 | ||
| Subcortical PI-2620 tau-PET | 0.005/0.004 | 1.331 | 0.191 | ||
| Global TSPO-PET | 16/51 | −0.056/0.023 | −2.462 | 0.019 | |
| Cortical TSPO-PET | −0.059/0.028 | −2.138 | 0.040 | ||
| Subcortical TSPO-PET | −0.369/0.106 | −3.470 | 0.002 | ||
| Global gray matter volume | 17/53 | −0.039/0.020 | −1.950 | 0.072 | |
| Cortical gray matter volume | −0.041/0.021 | −1.925 | 0.076 | ||
| Subcortical gray matter volume | −0.403/0.231 | −1.747 | 0.103 | ||
| NfL | 20/62 | 0.176/0.046 | 3.842 | 0.0004 | |
| GFAP | 19/59 | −0.007/0.013 | −0.567 | 0.574 |
Abbreviations: CBS = corticobasal syndrome; GFAP = glial fibrillary acidic protein; NfL = neurofilament light chain; MoCA = Montreal Cognitive Assessment; PSPRS = Progressive Supranuclear Palsy Rating Scale; SEADL = Schwab and England Activities of Daily Living; TSPO = 18 kDa translocator protein.
Linear mixed model statistics were adjusted for age, sex, education, body mass index, disease duration, as well as random slope and intercept. The CBS clinical composite score is defined by a principal component analysis using MoCA, PSPRS, and SEADL scores.