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. 2018 Nov 19;12:406. doi: 10.3389/fnhum.2018.00406

Table 4.

Multiple regression models of the relationship between the effect of serum levels of S-100 protein and BDNF on the effect of interventions on the SICI and CSP (n = 17).

Dependent variable Type III sum of squares df Mean square F P Partial eta squared
Short intracortical inhibition (SICI) 0.46 4 0.12 1.77 0.17 0.22
Cortical silent period (CSP) 3881.54 4 970.38 4.77 0.005 0.43
B Std. error t P CI 95%
Dependent variable: short intracortical inhibition (SICI)
Intercept 0.75 0.22 3.32 0.00 (0.29 to 1.21)
Serum S100-B protein 0.01 0.022 0.63 0.53 (−0.03 to 0.06)
BDNF adjusted index −0.02 0.011 −1.78 0.09 (−0.04 to 0.003)
Interaction
Serum S100-B protein treatment −0.05 0.012 −0.36 0.71 (−0.06 to 0.02)
BDNF adjusted index treatment 0.06 0.006 1.01 0.32 (−0.08 to 0.02)
Dependent variable: cortical silent period (CSP)
Intercept 62.12 12.61 4.93 0.00 (36.15 to 88.09)
Serum S100-B protein −2.68 1.24 −2.16 0.04 (−5.24 to −0.12)∗∗
BDNF adjusted index 1.41 0.601 2.33 0.02 (0.16 to 2.65)∗∗
Interaction
Serum S100-B protein treatment 0.84 0.69 1.22 0.23 (−0.57 to 2.25)
BDNF adjusted index treatment −0.43 0.31 −1.38 0.18 (−1.08 to 0.21)

∗∗Interaction between dependent variable (S100B or BDNF)*trearment (factor).