Table 1.

Statistics table

DescriptionType of testSample sizeStatistical data
Figure 1: Comparison of learning curves
Male control groupsRM ANOVAWT/Reg: n = 3
WT/Val: n = 3
Nes-TK/Reg: n = 5
Group:
F = 3.84
p = 0.0677
Female control groupsRM ANOVAWT/Reg: n = 3
WT/Val: n = 1
Nes-TK/Reg: n = 2
Group:
F = 0.51
p = 0.6454
Male vs female controlsRM ANOVAMale: n = 11
Female: n = 6
Group:
F = 0.63
p = 0.6346
Male; Con vs ExpRM ANOVACon: n = 11
Exp: n = 13
Group:
F = 15.2
p = 0.0008
Interaction:
F = 1.837
p = 0.0487
Male; Con vs Exp
All sessions
Unpaired t testsCon: n = 11
Exp: n = 13
H1: p = 0.06
H2: p = 0.24
T1: p = 0.022
T2: p = 0.0071
T3: p = 0.0011
T4: p = 0.029
T5: p = 0.018
T6: p = 0.0017
T7: p = 0.0087
T8: p = 0.0045
T9: p = 0.034
T10: p = 0.062
Female; Con vs ExpRM ANOVACon: n = 6
Exp: n = 5
Group:
F = 0.89
p = 0.3696
Figure 2: Comparing number of DCX+ cells
Male; Con vs ExpUnpaired t testCon: n = 11
Exp: n = 13
p = 0.0011
Female; Con vs ExpUnpaired t testCon: n = 6
Exp: n = 5
p = 0.0947
Figure 3: Correlation between learning and number of DCX+ cells
Male; DCX vs average CRsPearson’s correlationn = 24r = 0.574
p = 0.0027
Male; DCX vs trials to 6 CRs of 10 trialsPearson’s correlationn = 24r = −0.519
p = 0.0121
Female; DCX vs average CRsPearson’s correlationn = 11r = −0.025
p = 0.943
Female; DCX vs trials to 6 CRs of 10 trialsPearson’s correlationn = 11r = 0.102
p = 0.77
• All datasets are assumed to have normal distribution. Con, control; Exp, experimental; Reg, regular chow; Val, valganciclovir chow; RM, repeated measures.