Table 1.
Variable | RAM (FLETR) linear regression with post-cocaine injection locomotion | |||||
---|---|---|---|---|---|---|
(n = 40) | (n = 40) | (N = 80) | ||||
SHAM | NVHL | t | Day 1 | Day 5 | Challenge | |
FL | 4.89 ± 0.32 | 6.29 ± 0.13 | 6.6*** | R 2 = 0.03 | R 2 = 0.04 | R 2 = 0.06 |
NS | NS | m = 1,346* | ||||
b = 9,330** | ||||||
ETR | 5.4 ± 0.09 | 4.6 ± 0.09 | −4.0*** | R 2 = 0.01 | R 2 = 0.08 | R 2 = 0.09 |
NS | m = −4,107* | m = −3,874** | ||||
b = 40,150*** | b = 36,229*** | |||||
FLETR | 0.89 ± 0.06 | 1.40 ± 0.04 | 7.1*** | R 2 = 0.04 | R 2 = 0.09 | R 2 = 0.14 |
NS | m = 7,539** | m = 8,334*** | ||||
b = 10,979*** | b = 7,310** |
Significance levels of simple t tests and linear regression modeling (x, RAM variable; y = post-cocaine locomotion (in centimeter), x = FLETR, m = slope, b = y intercept) are reported as *p < 0.05, **p < 0.01, and ***p < 0.001 with NS denoting non-significance. R 2 values reporting goodness of fit, are regarded a significant as per the slope