Table 1.
Statistical table
Line | Data/dependent variable * | Type of test | Statistic | Confidence |
---|---|---|---|---|
a | 15 min EBR ∼ 5 min EBR | Pearson's correlation | r = 0.98, dof =3 | p = 0.002 |
b | Placebo: 1st half EBR ∼ 2nd half EBR | Pearson's correlation | r = 0.96, dof =18 | p < 0.0001 |
c | Bromocriptine: 1st half EBR ∼ 2nd half EBR | Pearson's correlation | r = 0.84, dof =16 | p < 0.0001 |
d | Placebo EBR | Dixon's test | Q = 0.30 | p = 0.597 |
e | Bromocriptine EBR | Dixon's test | Q = 0.22 | p = 0.908 |
f | Baseline EBR ∼ caudate BPND | Linear regression | t = −0.67, dof = 15 | p = 0.512 |
g | Baseline EBR ∼ putamen BPND | Linear regression | t = −0.76, dof = 15 | p = 0.461 |
h | Baseline EBR ∼ ventral striatum BPND | Linear regression | t = 0.95, dof = 15 | p = 0.356 |
i | Baseline EBR ∼ midbrain BPND | Linear regression | t = 0.14, dof = 15 | p = 0.890 |
j | Baseline EBR ∼ whole brain BPND | Linear regression | No significant cluster | p = 0.05 corrected for FWE |
k | Baseline EBR, bromocriptine EBR | Pearson's correlation | r = 0.83, dof = 16 | p < 0.0001 |
l | Baseline EBR, bromocriptine EBR | Paired t test | t = 0.35, dof = 17 | p = 0.734 |
m | Changes in EBR ∼ body weight | Linear regression | t = −0.16, dof = 13 | p = 0.877 |
n | Changes in EBR ∼ caudate BPND | Linear regression | t = −1.50, dof = 13 | p = 0.157 |
o | Changes in EBR ∼ putamen BPND | Linear regression | t = −1.35, dof = 13 | p = 0.199 |
p | Changes in EBR ∼ midbrain BPND | Linear regression | t = −0.11, dof = 13 | p = 0.912 |
q | Changes in EBR ∼ ventral striatum BPND | Linear regression | t = −2.06, dof = 13 | p = 0.060 |
r | Changes in EBR ∼ caudate BPND | Quadratic regression | t = −0.06, dof = 12 | p = 0.951 |
s | Changes in EBR ∼ putamen BPND | Quadratic regression | t = 1.88, dof = 12 | p = 0.085 |
t | Changes in EBR ∼ ventral striatum BPND | Quadratic regression | t = 1.18, dof = 12 | p = 0.260 |
u | Changes in EBR ∼ midbrain BPND | Quadratic regression | t = 0.15, dof = 12 | p = 0.882 |
age, sex, and time difference were covariates in all multiple regressions.