Table 1:

Detailed statistical table

FigureComparisonType of testStatistic95% CI
aNASucrose pelletsFour-way LMM ANOVASex × intake × treatment × sessions: F(8,364) = 0.85p = 0.56
bNAAlcohol (g/kg), weeks 1–3Three-way LMM ANOVASex: F(1,59) = 48.42p < 0.0001
cNAAlcohol (%pref), weeks 1–3Three-way LMM ANOVASex: F(1,58) = 17.61p < 0.0001
d1b,cWeek 3 average alcohol intake and preferenceUnpaired t testsIntake: t(60) = 4.66
Preference: t(60) = 2.74
p < 0.0001
p = 0.008
1bAverage alcohol (g/kg)Frequency distribution, median splitCutoff
males: 4.3 g/kg
females: 6.9 g/kg
NA
1cAverage alcohol (%)Frequency distribution, median splitCutoff
males: 16%,
females: 23%
NA
eNABody weight, weeks 1–3Three-way LMM ANOVASex: F(1,93) = 736.83p < 2e−16
NABody weight, weeks 1–10Four-way LMM ANOVASex × intake × treatment × sessions: F(60,2790) = 1.57p = 0.004
NAMales: body weight, weeks 1–10Three-way LMM ANOVAIntake × treatment × sessions: F(60,1410) = 1.75p = 0.0004
NAWater intake: Ket SA vs Sal SATukey’s post hocSessions 17–31: t < −2Sessions 17-31: p < 0.05
g2a,bFR1 infusions, sessions 1–6Four-way LMM ANOVASex: F(1,93) = 9.02p = 0.0034
2a,bFR1 Infusions, sessions 10–11Four-way LMM ANOVASex × intake: F(2,93) = 3.45p = 0.036
2a,bHigh-Alc: F vs MTukey’s post hocSA sessions 10–11: t(93) = 3.05p = 0.003
2a,bMales: FR1 Infusions, sessions 1–6Three-way LMM ANOVAIntake × treatment × sessions: F(10,230) = 2.3p = 0.014
2aMales_Ket SA: high vs low and high vs waterTukey’s post hocSA session 4: t(46) = −2.8
SA session 5: t(46) = −3.13
Session 4: p = 0.02
Session 5: p =0.008
Males: FR1 infusions, sessions 10–11Three-way LMM ANOVAIntake × treatment: F(2,46) = 3.83p = 0.029
Ket SA: high-Alc vs waterTukey’s post hoct(46) = −2.5p = 0.04
Ket SA: high-Alc vs low_AlcTukey’s post hoct(46) = −3.005p = 0.012
2a,bFemales: FR1 Infusions, sessions 1–6Three-way LMM ANOVATreatment × sessions: F(5,235) = 38.03p < 0.0001
Females: FR1 Infusions, sessions 10–11Three-way LMM ANOVATreatment × sessions: F(1,47) = 6.11p = 0.017
h2c,dActive responses, sessions 1–6Four-way LMM ANOVASex × intake × treatment × sessions: F(10,459) = 2.13p = 0.021
2cKet SA_water: F vs MTukey’s post hocSA session 2: t(93) = 2.33p = 0.022
2cKet SA_low-Alc: F vs MTukey’s post hocSA sessions 5–6: t(93) = 2.18, 2.62p = 0.032, 0.01
2cKet SA_high-Alc: F vs MTukey’s post hocSA sessions 3–6: t(93) = 3.51, 3.53, 4.54, 4.59p = 0.0007, 0.0007, 0.0001, 0.0001
2c,dActive responses, sessions 10–11Four-way LMM ANOVASex: F(1,93) = 9.93p = 0.002
2c,dInactive responses, sessions 1–6Four-way LMM ANOVASex: F(1,94) = 4.1p = 0.04
Inactive responses, sessions 10–11Four-way LMM ANOVASex × intake × treatment × sessions: F(2,90) = 0.35p = 0.71
2c,dMales: active responses, sessions 1–6Three-way LMM ANOVAIntake × treatment × sessions: F(10,228) = 3.13p = 0.0009
2cMales_Ket SA: high vs waterTukey’s post hocSA sessions 5–6: t(46) = −3.59, −2.95p = 0.002, 0.01
2c,dMales: active response, sessions 10–11Three-way LMM ANOVAIntake × treatment: F(2,46) = 3.65p = 0.034
2cMales_Ket SA: high vs waterTukey’s post hocMain effect of intake: t(46) = −3.17p = 008
2c,dFemales: active response, sessions 1–6Three-way LMM ANOVATreatment × sessions: F(5,231) = 26.44p < 0.0001
2c,dFemales: active response, sessions 10–11Three-way LMM ANOVAIntake × treatment × sessions: F(2,46) = 4.12p = 0.02
2cKet SA: high-Alc vs waterTukey’s post hocSA session 10: t(46) = 2.77p = 022
i3a,bPR break pointFour-way LMM ANOVASex × intake × treatment × sessions: F(4,186) = 3.6p = 0.0074
3aKet SA_water: F vs MTukey’s post hocSA session 7: t(93) = 2.21p = 0.029
3aKet SA_low-Alc: F vs MTukey’s post hocSA session 9: t(93) = 3.29p = 0.0014
3aKet SA_high-Alc: F vs MTukey’s post hocSA sessions 8–9: t(93) = 5.27, 3.32p = 0.0001, 0.0013
3a,bMales: break pointThree-way LMM ANOVATreatment × sessions: F(2,92) = 3.21p = 0.045
3a,bM_Ket vs SalTukey’s post hocSA sessions 7–8: t(46) = 4.08, 2.94p = 0.0002, 0.0052
3a,bFemales: break pointThree-way LMM ANOVAIntake × treatment × sessions: F(4,94) = 3.67p = 0.008
3a,bF_Water: Ket vs Sal SATukey’s post hocSA session 7: t(47) = 2.25p = 0.029
3a,bF_Low-Alc: Ket vs Sal SATukey’s post hocSA session 9: t(47) = 2.52p = 0.015
3a,bF_High-Alc: Ket vs Sal SATukey’s post hocSA session 8: t(47) = 3.67p = 0.0006
3aF_Ket SA: high vs water and high vs lowTukey’s post hocSA session 8: t(47) = 3.94, 3.78p = 0.0008, 0.012
j 3c,dPR active responsesFour-way LMM ANOVASex × intake × treatment × sessions: F(4,185) = 3.25p = 0.013
3cKet SA_water: F vs MTukey’s post hocSA session 7: t(93) = 1.99p = 0.049
3cKet SA_low-Alc: F vs MTukey’s post hocSA session 9: t(93) = 3.27p = 0.0015
3cKet SA_high-Alc: F vs MTukey’s post hocSA sessions 8–9: t(93) = 5.2, 3.43p = 0.0001, 0.0009
3c,dMales: PR active responsesThree-way LMM ANOVAmain effect of treatment: F(1,46) = 10.43p = 0.0023
3c,dFemales: active responsesThree-way LMM ANOVAIntake × treatment × sessions: F(4,94) = 3.25p = 0.015
3c,dF_low-Alc: Ket vs Sal SATukey’s post hocSA session 9: t(47) = 2.48p = 0.017
3c,dF_high-Alc: Ket vs Sal SATukey’s post hocSA session 8: t(47) = 3.65, 2.05p = 0.0007, 0.0047
3cF_Ket SA: high vs water and high vs lowTukey’s post hocSA session 8: t(47) = 3.88, 3.76p = 0.0009, 0.0014
k 3e,fPR infusionsFour-way LMM ANOVASex × intake × treatment × sessions: F(4,186) = 2.95p = 0.022
3eKet SA_water: F vs MTukey’s post hocSA session 7: t(93) = 2.26p = 0.026
3eKet SA_low-Alc: F vs MTukey’s post hocSA session 9: t(93) = 2.69p = 0.0084
3eKet SA_high-Alc: F vs MTukey’s post hocSA sessions 8–9: t(93) = 4.04, 3.54p = 0.0001, 0.0006
3e,fMales: infusionsThree-way LMM ANOVATreatment × sessions: F(2,92) = 4.32p = 0.016
3e,fM_Ket vs SalTukey’s post hocSA sessions 7–9: t(46) = 5.48, 4.17, 2.09p = 0.0001, 0.0001, 0.04
3e,fFemales: infusionsThree-way LMM ANOVAIntake × treatment × sessions: F(4,94) = 4.48p = 0.002
3e,fF_water: Ket vs Sal SATukey’s post hocSA sessions 7, 9: t(47) = 3.82, 2.03p = 0.0004, 0.049
3e,fF_low-Alc: Ket vs Sal SATukey’s post hocSA session 9: t(47) = 2.71p = 0.005
3e,fF_high-Alc: Ket vs Sal SATukey’s post hocSA session 8: t(47) = 2.96p = 0.009
3eF_Ket SA: high vs water and high vs lowTukey’s post hocSA session 8: t(47) = 2.9, 3.19p = 0.02, 0.007
l 4a,bIncubation of craving, active responsesFour-way LMM ANOVASex: F(1,85) = 9.81p = 0.0024
4a,bMales: incubation of craving, active responsesThree-way LMM ANOVATreatment × sessions: F(1,85) = 3.79p = 0.026
4a,bMales: incubation of craving, active responsesThree-way LMM ANOVAIntake × treatment: F(2,44) = 5.44p = 0.008
4aM_water, Ket SA: day 1 vs 21Tukey’s post hoct(91) = 2.52p = 0.03
4aM_low-Alc, Ket SA: day 1 vs 7, 1 vs 21Tukey’s post hoct(91) = 3.44, 4.05p = 0.0025, 0.0003
4aM_high-Alc, Ket SA, day 1 vs 7Tukey’s post hoct(91) = 2.72p = 0.02
4a,bFemales: incubation of craving, active responsesThree-way LMM ANOVAIntake × treatment: F(2,41) = 3.93p = 0.027
4bF_water, Sal SA: day 1 vs 7, 1 vs 21Tukey’s post hoct(82) = 2.8, 2.8p = 0.01, 0.01
4aF_water, Ket SA: day 1 vs 21Tukey’s post hoct(82) = 2.8p = 0.01
4aF_high-Alc, Ket SA, day 1 vs 7Tukey’s post hoct(82) = 2.52p = 0.04
m 5a,bAlcohol (g/kg), weeks 1–10Four-way LMM ANOVASex: F(1,53) = 83.87p < 0.0001
5a,bMales: g/kg weeks 1–10Three-way LMM ANOVAIntake × treatment × sessions: F(30,785) = 2.53p < 0.0001
5aHigh-Alc: Ket SA vs Sal SATukey’s post hocSessions 19, 22: t(27) < −2.68, −3.08p = 0.019, 0.009
5a,bFemales: g/kg weeks 1–10Three-way LMM ANOVAIntake × sessions: F(30,760) = 2.5; treatment × sessions: F(30,760) = 1.6p < 0.0001; p = 0.022
5bLow-Alc: Ket SA vs Sal SATukey’s post hocSessions 19–20, 23–26: t(27) > 2.26p < 0.05
n 6a,bAlcohol (%pref), weeks 1–10Four-way LMM ANOVASex: F(1,53) = 6.19p = 0.016
6a,bMales: %pref weeks 1–10Three-way LMM ANOVAIntake × treatment × sessions: F(30,784) = 2.28p = 0.0001
6aHigh-Alc: Ket SA vs Sal SATukey’s post hocSessions 19–23, 25–31: t(27) < −2.07p < 0.05
6a,bFemales: %pref weeks 1–10Three-way LMM ANOVAIntake × treatment × sessions: F(30,759) = 1.67p = 0.015
6bLow-Alc: Ket SA vs Sal SATukey’s post hocSessions 19–20, 22–26: t(26) > 2.11p < 0.05
o 7cTotal spinesThree-way LMM ANOVASex × intake: F(2,26) = 4.77p = 0.017
7cHigh-Alc: M vs FTukey’s post hoct(26) = −4.17p = 0.0003
7cMales: total spinesTwo-way LMM ANOVAIntake: F(2,13) = 3.84p = 0.04
High-Alc vs waterTukey’s post hoct(15) = 2.87p = 0.02
7cFemales: total spinesTwo-way LMM ANOVAIntake: F(2,13) = 16.23p = 0.00029
p 7dThin spinesThree-way LMM ANOVASex: F(1,26) = 9.63p = 0.005
7dMales: thin spinesTwo-way LMM ANOVATreatment: F(2,13) = 30.63p < 0.0001
7dFemales: thin spinesTwo-way LMM ANOVAIntake × treatment: F(2,13) = 3.92p = 0.047
7dSal SA: high-Alc vs waterTukey’s post hoct(13) = 3.67p = 0.008
7dKet SA: low-Alc vs waterTukey’s post hoct(15) = 5.25p = 0.0004
7dKet SA: high-Alc vs waterTukey’s post hoct(15) = 4.72p = 0.001
7dWater: Ket SA vs Sal SATukey’s post hoct(15) = −3.47p = 0.004
q 7eMushroom spinesThree-way LMM ANOVASex × intake × treatment: F(2,26) = 8.82p = 0.001
7eMales vs females: high-Alc, Ket SATukey’s post hoct(26) = −6.22p < 0.0001
7eMales vs Females: low-Alc, Ket SATukey’s post hoct(26) = 2.6p = 0.01
7eMales: mushroom spinesTwo-way LMM ANOVAIntake × treatment: F(2,13) = 12.08p = 0.001
7eWater: Ket SA vs Sal SATukey’s post hoct(13) = 5.21p = 0.0005
7eLow-Alc: Ket SA vs Sal SATukey’s post hoct(13) = 7.16p < 0.0001
7eHigh-Alc: Ket SA vs Sal SATukey’s post hoct(13) = 0.21p = 0.83
7eFemales: mushroom spinesTwo-way LMM ANOVATreatment: F(1,13) = 72.6p < 0.0001
r 7fStubby spinesThree-way LMM ANOVASex × intake × treatment: F(2,26) = 0.02p = 0.97
s 8aTotal × alcohol (%pref)Linear regressionMales: R 2 = 0.54
Females: R 2 = 0.49
p = 0.007
p = 0.01
8bThin × alcohol (%pref)Linear regressionMales: R 2 = 0.35
Females: R 2 = 0.35
p = 0.04
p = 0.04
8cMushroom × alcohol (%pref)Linear regressionMales: R 2 = 0.06
Females: R 2 = 0.1
p = 0.44
p = 0.31
t 8dTotal × Cum. infusionsLinear regressionMales: R 2 = 0.17
Females: R 2 = 0.09
p = 0.08
p = 0.21
8eThin × Cum. infusionsLinear regressionMales: R 2 = 0.3
Females: R 2 = 0.007
p = 0.01
p = 0.73
8fMushroom × Cum. infusionsLinear regressionMales: R 2 = 0.18
Females: R 2 = 0.56
p = 0.07
p = 0.003
  • Summary of analyses performed on behavioral, morphologic, and correlational data. Each comparison is indicated by lettering in the far-left column (column 1). Figure column represents each corresponding to that figure or panel for that comparison. Comparison column represents the dependent variable being measured as well as individual comparisons examined with post hoc tests. Type of test indicates the analysis performed on that particular dataset. Statistic column indicates sample size, df, and F statistic for each comparison. Statistical interactions and/or main effects observed are indicated within this column. Confidence interval (CI) set at 95% lists the corresponding p values for each statistic, and any comparison p < 0.05 was considered statistically significant. NA, Not applicable; Cum., cumulative; LMM ANOVA, linear mixed-models ANOVA. %pref, percentage of preference; F, female; M, male.