Table 7.

Fear conditioning quantification, Torino protocol

Less-excit (α6Cacna1a)Repeated-measures ANOVA WT vs KO
Day 1 training0.11
WT, n = 10KO, n = 9t test
Day 2 baseline (%)17.6 ± 5.219.0 ± 5.00.85
Day 2 test (%)41.6 ± 2.940.0 ± 2.00.67
Day 2 baseline vs test0.000.00
No-inhib (L7-γ2)Repeated-measures ANOVA WT vs KO
Day 1 training0.85
WT, n = 7KO, n = 8t test
Day 2 baseline (%)11.1 ± 4.910.8 ± 4.70.97
Day 2 test (%)33.7 ± 3.737.4 ± 6.20.62
Day 2 baseline vs test0.000.00
No-LTP (L7-PP2B)Repeated-measures ANOVA WT vs KO
Day 1 training0.25
WT, n = 12KO, n = 12MW/t test
Day 2 baseline (%)22.8 ± 6.429.1 ± 9.40.91
Day 2 test (%)46.7 ± 3.547.8 ± 4.70.86
Day 2 baseline vs test0.000.06
No-LTD (L7-PKCi)Repeated-measures ANOVA WT vs TG
Day 1 training0.46
WT, n = 14TG, n = 12MW/t test
Day 2 baseline (%)20.5 ± 6.018.7 ± 6.50.76
Day 2 test (%)49.4 ± 3.843.3 ± 3.80.24
Day 2 baseline vs test0.000.00
  • Mean values ± SEM of the percentage of time spent freezing during cued testing (day 1 baseline and day 2 test; Fig. 6A; see Materials and Methods for protocol details) for the four mouse lines. Statistical differences between genotypes (KO/TG vs WT) for the acquisition curve (day 1, training) were calculated with an ANOVA for repeated measures test. Statistical differences for baseline and test between genotypes (KO/TG vs WT) and within genotypes (successfulness of the test, i.e.. most time spent freezing during test compared with baseline periods) were calculated with a Student's t test for normally-distributed data (regular font) or with a Mann–Whitney test for non-normally distributed data (MW; italic font).