Table 1.
Statistical table
| Figure | Data structure | Sample size | Type of test | Statistics |
|---|---|---|---|---|
| 1F | Normal distribution | 23 cells from four rats | One-way ANOVA | F(2,48) = 74.7, p < 0.000 |
| 1H | Normal distribution | nD2-eYFP = 7; nD2-ChR2 = 10 | Two-way ANOVA | F(1,13) = 0.43, p = 0.322 |
| 1I | Normal distribution | nD2-eYFP = 7; nD2-ChR2 = 10 | Two-way ANOVA | F(3,30) = 124.8, p < 0.000 |
| 1J | Normal distribution | nD2-eYFP = 7; nD2-ChR2 = 10 | Unpaired t test, two tailed | t(13) = 7.7, p < 0.000 |
| 1K | Normal distribution | nD2-eYFP = 7; nD2-ChR2 = 10 | Two-way ANOVA | Laser effect: F(1,13) = 47.3, p < 0.000 Group effect: F(1,13) = 7.9, p < 0.000 Bonferroni post test: D2-ChR2 ON vs D2-ChR2 OFF: p < 0.001 |
| 1L | Normal distribution | nD2-eYFP = 7; nD2-ChR2 = 10 | Unpaired t test, two tailed | t(13) = 1.3, p = 0.1380 |
| 1M | Normal distribution | nD2-eYFP = 7; nD2-ChR2 = 10 | Unpaired t test, two tailed | t(13) = 0.7, p = 0.4719 |
| 1N | Normal distribution | nD2-eYFP = 7; nD2-ChR2 = 10 | Unpaired t test, two tailed | t(13) = 1.0, p = 0.3124 |
| 2B | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP GABAA antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 GABAA antag = 8 | Two-way ANOVA | Treatment effect: F(1,13) = 0.1, p = 0.117 Group effect: F(1,13) = 118.8, p < 0.000 Bonferroni post test: D2-ChR2 vehicle vs D2-ChR2 GABA(A) antag: p = 0.787 |
| 2C | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP GABAB antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 GABAB antag = 8 | Two-way ANOVA | Treatment effect: F(1,13) = 30.7, p < 0.000 Group effect: F(1,13) = 193, p < 0.000 Bonferroni post test: D2-eYFP vehicle vs D2-eYFP GABA(B) antag: p = 0.07 D2-ChR2 vehicle vs D2-ChR2 GABA(B) antag: p < 0.000 |
| 2D | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP mAChR+nAChR antag = 7; nD2-eYFP mAChR antag = 7; nD2-eYFP nAChR antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 mAChR+nAChR antag = 8; nD2-ChR2 mAChR antag = 8; nD2-ChR2 nAChR antag = 8 | Two-way ANOVA | Treatment effect: F(3,39) = 4.3, p = 0.001 Bonferroni post test: D2-ChR2 vehicle vs D2-ChR2 mAChR+nAChR antag: p < 0.000 D2-ChR2 vehicle vs D2-ChR2 nAChR antag: p < 0.000 |
| 2E | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP α4*-nAChR antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 α4*-nAChR antag = 8 | Two-way ANOVA | Treatment effect: F(1,13) = 43.0, p < 0.000 Bonferroni post test: D2-ChR2 vehicle vs D2-ChR2 α4 antag: p < 0.000 |
| 2F | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP D1R antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 D1R antag = 8 | Two-way ANOVA | Treatment effect: D1R antag: F(1,13) = 43.7, p < 0.000 Bonferroni post test: D2-eYFP vehicle vs D2-eYFP D1R antag: p = 0.047 D2-ChR2 vehicle vs D2-ChR2 D1R antag: p < 0.000 |
| 2G | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP D2R antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 D2R antag = 8 | Two-way ANOVA | Treatment effect: D2R antag: F(1,13) = 34.8, p < 0.000 Bonferroni post test: D2-eYFP vehicle vs D2-eYFP D2R antag: p = 0.013 D2-ChR2 vehicle vs D2-ChR2 D2R antag: p < 0.000 |
| 3B | Normal distribution | nD2-ChR2 = 8; nD2-eYFP = 7 | Unpaired t test, two tailed | D2-ChR2 vs D2-eYFP rats: t(13) = 12.0, p < 0.000 |
| 3B | Normal distribution | nD2-ChR2 = 8 | Paired t test, two tailed | Stimulated vs contralateral side: t(7) = 7.4, p = 0.0002 |
| 3C | Normal distribution | nD2-ChR2 = 8; nD2-eYFP = 7 | Unpaired t test, two tailed | D2-ChR2 vs D2-eYFP rats: t(13) = 3.7, p = 0.0028 |
| 3C | Normal distribution | nD2-ChR2 = 8 | Paired t test, two tailed | Stimulated vs contralateral side: t(7) = 3.3, p = 0.0011 |
| 3D | Normal distribution | nD2-ChR2 = 8; nD2-eYFP = 7 | Unpaired t test, two tailed | D2-ChR2 vs D2-eYFP rats: t(13) = 3.7, p < 0.000 |
| 3D | Normal distribution | nD2-ChR2 = 8 | Paired t test, two tailed | Stimulated vs contralateral side: t(7) = 4.0, p = 0.0033 |
| 3F | Normal distribution | nD2-ChR2 = 8; nD2-eYFP = 7 | Unpaired t test, two tailed | D2-ChR2 vs D2-eYFP rats: t(13) = 3.3, p < 0.000 |
| 3F | Normal distribution | nD2-ChR2 = 8 | Paired t test, two tailed | Stimulated vs contralateral side: t(7) = 4.4, p = 0.0024 |
| 3G | Normal distribution | nD2-ChR2 = 8; nD2-eYFP = 7 | Unpaired t test, two tailed | D2-ChR2 vs D2-eYFP rats: t(13) = 0.3, p = 0.418 |
| 3G | Normal distribution | nD2-ChR2 = 8 | Paired t test, two tailed | Stimulated vs contralateral side: t(7) = 0.1, p = 0.9099 |
| 3I | Normal distribution | nD2-ChR2 = 8; nD2-eYFP = 7 | Unpaired t test, two tailed | D2-ChR2 vs D2-eYFP rats: t(13) = 2.3, p = 0.039 |
| 3I | Normal distribution | nD2-ChR2 = 8 | Paired t test, two tailed | Stimulated vs contralateral side: t(7) = 1.2, p = 0.238 |
| 4B | Normal distribution | 30 cells from four rats | One-way ANOVA | F(2,87) = 10.4, p < 0.000 |
| 4E | Normal distribution | 29 pDAergic cells from four rats; three pGABAergic cells from four rats | One-way ANOVA | pDAergic: F(2,34) = 17.4, p < 0.000 pGABAergic: F(2,8) = 2.7, p = 0.1343 |
| 4I | Normal distribution | nD2-ChR2 NAc-VP = 8, nD2-eYFP NAc-VP = 4 | Unpaired t test, two tailed | t(11) = 10.7, p < 0.000 |
| 4J | Normal distribution | nD2-ChR2 NAc-VP = 8, | Paired t test, two tailed | t(4) = 10.2, p < 0.000 |
| 4K | Normal distribution | nD2-ChR2 NAc-VP = 8, nD2-eYFP NAc-VP = 4 | Unpaired t test, two tailed | t(12) = 1.7, p = 0.112 |
| 2-2A | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP GABAA antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 GABAA antag = 8 | Two-way ANOVA | Bonferroni post test: D2-eYFP vehicle vs D2-eYFP antag: p = 0.4831 D2-ChR2 vehicle vs D2-ChR2 antag: p = 0.7434 |
| 2-2B | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP GABAB antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 GABAB antag = 8 | Two-way ANOVA | Bonferroni post test: D2-eYFP vehicle vs D2-eYFP antag: p = 0.7334 D2-ChR2 vehicle vs D2-ChR2 antag: p = 0.9332 |
| 2-2C | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP mAChR+nAChR antag = 7; nD2-eYFP mAChR antag = 7; nD2-eYFP nAChR antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 mAChR+nAChR antag = 8; nD2-ChR2 mAChR antag = 8; nD2-ChR2 nAChR antag = 8 | Two-way ANOVA | Bonferroni post test: D2-eYFP vehicle vs D2-eYFP mAChR+nAChR antag: p = 0.9994 D2-ChR2 vehicle vs D2-ChR2 mAChR+nAChR antag: p = 0.9883 D2-eYFP vehicle vs D2-eYFP mAChR antag: p = 0.9994 D2-ChR2 vehicle vs D2-ChR2 mAChR antag: p = 0.9883 D2-eYFP vehicle vs D2-eYFP nAChR antag: p = 0.4483 D2-ChR2 vehicle vs D2-ChR2 nAChR antag: p = 0.9187 |
| 2-2D | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP α4*-nAChR antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 α4*-nAChR antag = 8 | Two-way ANOVA | Bonferroni post test: D2-eYFP vehicle vs D2-eYFP antag: p = 0.4489 D2-ChR2 vehicle vs D2-ChR2 antag: p = 0.7023 |
| 2-2E | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP D1R antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 D1R antag = 8 | Two-way ANOVA | Bonferroni post test: D2-eYFP vehicle vs D2-eYFP antag: p = 0.0144 D2-ChR2 vehicle vs D2-ChR2 antag: p = 0.0842 |
| 2-2F | Normal distribution | nD2-eYFP veh = 7; nD2-eYFP D2R antag = 7; nD2-ChR2 veh = 8; nD2-ChR2 D2R antag = 8 | Two-way ANOVA | Bonferroni post test: D2-eYFP vehicle vs D2-eYFP antag: p = 0.9999 D2-ChR2 vehicle vs D2-ChR2 antag: p = 0.2308 |
| 4-1B | Normal distribution | nD2-ChR2 NAc-VP = 8, nD2-eYFP NAc-VP = 6 | Two-way ANOVA | Group effect: F(1,72) = 0.0, p = 0.856 |
| 4-1C | Normal distribution | nD2-ChR2 NAc-VP = 8, nD2-eYFP NAc-VP = 6 | Two-way ANOVA | Day of training effect: F(3,24) = 180.4, p < 0.000 |