Table 1.

Summary of statistical analyses.

Line	Data structure	Type of test	Description of analysis	Test value	p-value	Effect size	Power or 95% CI
a	Normal distribution	Welch’s t-test	PN5 hippocampus: VEH vs. LC	t_((2.9847) = 5.667	0.011	d = 4.625	0.984
b	Normal distribution	Welch's t-test	PN5 amygdala: VEH vs. LC	t_(3.7237) = 5.996	0.005	d = 2.38	0.596
c	Normal distribution	Welch's t-test	PN5 cortex: VEH vs. LC	t_(3.3363) = 2.915	0.054	d = 4.896	0.991
d	Normal distribution	Welch's t-test	PN5 hypothalamus: VEH vs. LC	t_(3.7531) = 2.108	0.059	d = 3.064	0.798
e	Normal distribution	Welch's t-test	PN10 hippocampus: VEH vs. LC	t_(1.0548) = –0.875	0.536	d = 1.045	0.13
f	Normal distribution	Welch's t-test	PN10 amygdala: VEH vs. LC	t_(2.6755) = –3.941	0.036	d = 2.461	0.457
g	Normal distribution	Welch's t-test	PN10 cortex: VEH vs. LC	t_(1.0034) = –2.013	0.293	d = 3.409	0.702
h	Normal distribution	Welch's t-test	PN10 hypothalamus: VEH vs. LC	t_(1.196) = –1.257	0.401	d = 1.42	0.197
i	Normal distribution	Welch's t-test	PN15 hippocampus: VEH vs. LC	t_(1.0067) = –1.248	0.429	d = 1.248	0.22
j	Normal distribution	Welch's t-test	PN15 amygdala: VEH vs. LC	t_(1.1786) = –1.437	0.36	d = 1.269	0.225
k	Normal distribution	Welch's t-test	PN15 cortex: VEH vs. LC	t_(1.312) = –1.269	0.384	d = 1.437	0.274
l	Normal distribution	Welch's t-test	PN15 hypothalamus: VEH vs. LC	t_(1.0299) = 0.254	0.841	d = 0.254	0.057
Body weight
m	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,29) = 236.343	<0.001	η² = 0.068	1
Female body weight
n	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,14) = 0.077	0.785	η² = 0.072	0.058
o	Normal distribution	2-way ANOVA	Main effect: age	F_{(1.146,16.037)} = 617.607	<0.001	η² = 0.974	1
p	Normal distribution	2-way ANOVA	Interaction: treatment × age	F_{(1.146,16.07)} = 2.842	0.108	η² = 0.004	0.375
Male body weight
q	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,15) = 6.045	0.027	η² = 0.287	0.633
r	Normal distribution	2-way ANOVA	Main effect: age	F_{(1.626,24.387)} = 2222.172	<0.001	η² = 0.992	1
s	Normal distribution	2-way ANOVA	Interaction: treatment × age	F_{(1.626,24.387)} = 2.019	0.161	η² = 0.001	0.341
Cliff aversion
t	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 1.165	0.288	η² = 0.033	0.183
u	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 0.381	0.541	η² = 0.011	0.092
v	Normal distribution	2-way ANOVA	Main effect: age	F_(5,180) = 9.473	<0.001	η² = 0.155	1
w	Normal distribution	2-way ANOVA	Interaction: treatment × age	F_(5,180) = 1.460	0.24	η² = 0.031	0.263
Surface righting
x	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.177	0.676	η² = 0.004	0.069
y	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 9.999	0.003	η² = 0.217	0.868
z	Normal distribution	2-way ANOVA	Main effect: age	F_(5,180) = 3.973	0.014	η² = 0.094	0.944
aa	Normal distribution	2-way ANOVA	Interaction: treatment × age	F_(5,180) = 2.134	0.11	η² = 0.051	0.489
Wire hang
bb	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.934	0.34	η² = 0.015	0.156
cc	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 25.742	<0.001	η² = 0.083	0.999
dd	Normal distribution	2-way ANOVA	Main effect: age	F_(4,144) = 32.229	<0.001	η² = 0.367	1
ee	Normal distribution	2-way ANOVA	Interaction: treatment × age	F_(4,144) = 2.223	0.087	η² = 0.032	0.561
Negative geotaxis
ff	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.003	0.955	η² < 0.000	0.05
gg	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 12.68	0.001	η² = 0.024	0.934
hh	Normal distribution	2-way ANOVA	Main effect: age	F_(9,324) = 44.323	<0.001	η² = 0.493	1
ii	Normal distribution	2-way ANOVA	Interaction: treatment × age	F_(9,324) = 1.228	0.291	η² = 0.015	0.492
Locomotion
jj	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 1.109	0.3	η² = 0.008	0.176
kk	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 93.876	<0.001	η² = 0.723	1
ll	Normal distribution	2-way ANOVA	Main effect: age	F_(9,324) = 26.712	<0.001	η² = 0.378	1
mm	Normal distribution	2-way ANOVA	Interaction: treatment × age	F_(9,324) = 7.873	<0.001	η² = 0.088	1
nn	Normal distribution	Welch's t-test	Post hoc: PN5 LC vs. VEH	t_(29.15) = –0.398	0.694; α = 0.05	d = 0.125	0.066
oo	Normal distribution	Welch's t-test	Post hoc: PN6 LC vs. VEH	t_(34.126) = 0.766	0.449; α = 0.025	d = 0.25	0.117
pp	Normal distribution	Welch's t-test	Post hoc: PN7 LC vs. VEH	t_(24.031) = 1.869	0.074; α = 0.0125	d = 0.628	0.469
qq	Normal distribution	Welch's t-test	Post hoc: PN8 LC vs. VEH	t_(34.211) = 1.888	0.068; α = 0.01	d = 0.618	0.456
rr	Normal distribution	Welch's t-test	Post hoc: PN9 LC vs. VEH	t_(34.971) = 1.514	0.139; α = 0.01667	d = 0.494	0.315
ss	Normal distribution	Welch’s t-test	Post hoc: PN10 LC vs. VEH	t_(34.907) = 4.212	<0.001; α = 0.00714	d = 1.374	0.984
tt	Normal distribution	Welch’s t-test	Post hoc: PN11 LC vs. VEH	t_(35.873) = 4.639	<0.001; α = 0.0625	d = 1.503	0.994
uu	Normal distribution	Welch’s t-test	Post hoc: PN12 LC vs. VEH	t_(31.565) = 3.096	0.004; α = 0.0083	d = 1.021	0.864
vv	Normal distribution	Welch’s t-test	Post hoc: PN13 LC vs. VEH	t_(35.123) = 5.448	<0.001; α = 0.0056	d = 1.745	0.999
ww	Normal distribution	Welch’s t-test	Post hoc: PN14 LC vs. VEH	t_(35.301) = 8.084	<0.001; α = 0.005	d = 2.631	1
Nest seeking total score
xx	Normal distribution	2-way ANOVA	Main effect: sex	F_(1,34) = 0.0002	0.989	η² < 0.000	0.05
yy	Normal distribution	Welch’s t-test	VEH vs. LC	t_(34.052) = 3.927	<0.001	d = 1.285	0.97
Nest seeking over time
zz	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.015	0.904	η² < 0.000	0.05
aaa	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 15.626	<0.001	η² = 0.043	0.97
bbb	Normal distribution	2-way ANOVA	Main effect: age	F_(10,360) = 2.423	0.008	η² = 0.053	0.943
ccc	Normal distribution	2-way ANOVA	Interaction: treatment × age	F_(10,360) = 1.087	0.371	η² = 0.028	0.46
Nest seeking latency
ddd	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.278	0.602	η² = 0.008	0.081
eee	Normal distribution	2-way ANOVA	Main effect: age	F_(10,360) = 47.962	<0.001	η² = 0.458	1
fff	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 0.075	0.786	η² = 0.002	0.058
ggg	Normal distribution	2-way ANOVA	Interaction: treatment × age	F_(10,360) = 0.369	0.847	η² = 0.004	0.137
Isolation-induced USVs
hhh	Normal distribution	2-way ANOVA	Main effect: sex	F_(1,23) = 0.253	0.62	η² = 0.004	0.077
iii	Normal distribution	Welch’s t-test	VEH vs. LC	t_(23.928) = 7.337	<0.001	d = 2.795	0.999
Spontaneous alternations
jjj	Normal distribution	2-way ANOVA	Main effect: sex	F_(1,34) = 1.802	0.188	η² = 0.043	0.257
kkk	Normal distribution	Welch’s t-test	VEH vs. LC	t_(33.907) = 2.327	0.026	d = 0.762	0.626
Social recognition index
lll	Normal distribution	2-way ANOVA	Main effect: sex	F_(1,25) = 0.299	0.59	η² = 0.01	0.062
mmm	Normal distribution	Welch’s t-test	VEH vs. LC	t_(21.744) = 1.822	0.083	d = 0.702	0.441
nnn	Normal distribution	One sample t-test	VEH vs. 0.50	t₍₁₅₎ = 3.599	0.003	d = 0.9	0.92
ooo	Normal distribution	One sample t-test	LC vs. 0.50	t₍₁₂₎ = 0.224	0.827	d = 0.062	0.055
Novel object: 1 h
ppp	Normal distribution	2-way ANOVA	Main effect: sex	F_(1,25) = 3.911	0.059	η² = 0.135	0.477
qqq	Normal distribution	Welch’s t-test	VEH vs. LC	t_(21.868) = 0.119	0.907	d = 0.046	0.052
Novel object: 24 h
rrr	Normal distribution	2-way ANOVA	Main effect: sex	F_(1,25) = 0.182	0.674	η² = 0.006	0.069
sss	Normal distribution	Welch’s t-test	VEH vs. LC	t_(21.258) = –1.753	0.094	d = 0.677	0.416
Open field center time
ttt	Normal distribution	2-way ANOVA	Main effect: sex	F_(1,34) = 0.061	0.806	η² = 0.002	0.057
uuu	Normal distribution	Welch’s t-test	VEH vs. LC	t_(35.933) = –2.916	0.006	d = 0.944	0.807
Open field grid crosses
vvv	Normal distribution	2-way ANOVA	Main effect: sex	F_(1,34) = 0.255	0.617	η² = 0.003	0.078
www	Normal distribution	Welch’s t-test	VEH vs. LC	t_(25.858) = –7.427	<0.001	d = 2.484	1
Elevated plus maze % open time
xxx	Normal distribution	2-way ANOVA	Main effect: sex	F_(1,34) = 1.612	0.213	η² = 0.023	0.235
yyy	Normal distribution	Welch’s t-test	VEH vs. LC	t_(31.406) = –5.85	<0.001	d = 1.929	0.999
PO time behind barrier
zzz	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.0364	0.85	η² = 0.001	0.054
aaaa	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 10.208	0.003	η² = 0.158	0.875
bbbb	Normal distribution	2-way ANOVA	Main effect: test phase	F_(1,36) = 6.174	0.018	η² = 0.04	0.677
cccc	Normal distribution	2-way ANOVA	Interaction: treatment × test phase	F_(1,36) = 1.701	0.201	η² = 0.039	0.246
PO freezing duration
dddd	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.002	0.967	η² < 0.000	0.05
eeee	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 3.616	0.065	η² = 0.091	0.457
ffff	Normal distribution	2-way ANOVA	Main effect: test phase	F_(1,36) = 0.589	0.448	η² = 0.016	0.116
gggg	Normal distribution	2-way ANOVA	Interaction: treatment × test phase	F_(1,36) = 0.955	0.335	η² = 0.025	0.158
PO stretch attend duration
hhhh	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.0002	0.99	η² < 0.000	0.05
iiii	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 9.223	0.004	η² = 0.204	0.999
jjjj	Normal distribution	2-way ANOVA	Main effect: test phase	F_(1,36) = 27.268	<0.001	η² = 0.389	0.999
kkkk	Normal distribution	2-way ANOVA	Interaction: treatment × test phase	F_(1,36) = 6.805	0.013	η² = 0.097	0.719
llll	Normal distribution	Welch’s t-test	Post hoc: VEH baseline vs. odor	t₍₁₉₎ = –4.95	<0.001; α = 0.0125	d = 1.459	0.994
mmmm	Normal distribution	Welch’s t-test	Post hoc: LC baselline vs. odor	t₍₁₇₎ = –2.249	0.038; α = 0.025	d = 0.711	0.544
nnnn	Normal distribution	Welch’s t-test	Post hoc: baseline VEH vs. LC	t_(29.935) = 1.313	0.199; α = 0.05	d = 0.414	0.237
oooo	Normal distribution	Welch’s t-test	Post hoc: odor VEH vs. LC	t_(34.037) = 3.026	0.005; α = 0.01667	d = 0.965	0.824
PO stretch locomotion duration
pppp	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.032	0.86	η² = 0.001	0.053
qqqq	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 11.985	0.001	η² = 0.25	0.92
rrrr	Normal distribution	2-way ANOVA	Main effect: test phase	F_(1,36) = 8.605	0.006	η² = 0.146	0.814
ssss	Normal distribution	2-way ANOVA	Interaction: treatment × test phase	F_(1,36) = 14.325	<0.001	η² = 0.243	0.957
tttt	Normal distribution	Welch’s t-test	Post hoc: VEH baseline vs. odor	t₍₁₉₎ = 0.846	0.408; α = 0.05	d = 0.209	0.099
uuuu	Normal distribution	Welch’s t-test	Post hoc: LC baselline vs. odor	t₍₁₇₎ = –3.755	0.002; α = 0.01667	d = 0.739	0.577
vvvv	Normal distribution	Welch’s t-test	Post hoc: baseline VEH vs. LC	t_(27.927) = –1.521	0.14; α = 0.025	d = 0.506	0.329
wwww	Normal distribution	Welch’s t-test	Post hoc: odor VEH vs. LC	t_(20.041) = –4.225	<0.001; α = 0.0125	d = 1.435	0.99
PO stimulus cloth approaches
xxxx	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.032	0.86	η² = 0.001	0.053
yyyy	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 8.312	0.007	η² = 0.113	0.801
zzzz	Normal distribution	2-way ANOVA	Main effect: test phase	F_(1,36) = 19.22	<0.001	η² = 0.135	0.989
aaaaa	Normal distribution	2-way ANOVA	Interaction: treatment × test phase	F_(1,36) = 1.116	0.298	η² = 0.02	0.177
PO stimulus cloth interaction duration
bbbbb	Normal distribution	3-way ANOVA	Main effect: sex	F_(1,34) = 0.067	0.798	η² = 0.001	0.057
ccccc	Normal distribution	2-way ANOVA	Main effect: treatment	F_(1,36) = 26.650	<0.001	η² = 0.34	0.999
ddddd	Normal distribution	2-way ANOVA	Main effect: test phase	F_(1,36) = 0.521	0.475	η² = 0.014	0.108
eeeee	Normal distribution	2-way ANOVA	Interaction: treatment × test phase	F_(1,36) = 0.42	0.521	η² = 0.011	0.097
Male sex behavior
fffff	Non-normal	Wilcoxon rank sum test	Mount number: VEH vs. LC	W = 63	0.007	HL = 18.889	5.999 to 35.999
ggggg	Non-normal	Wilcoxon rank sum test	Mount latency: VEH vs. LC	W = 8.5	0.011	HL = -711.738	-1180 to -25.999
hhhhh	Non-normal	Wilcoxon rank sum test	Intromission number: VEH vs. LC	W = 57.5	0.028	HL = 9.0	4.33e-05 to 13.999
iiiii	Non-normal	Wilcoxon rank sum test	Intromission latency: VEH vs. LC	W = 8.5	0.009	HL = -862.834	-1167 to -121
jjjjj	Non-normal	Wilcoxon rank sum test	Ejaculation number: VEH vs. LC	W = 48.5	0.134	HL < 0.000	-6.933e-06 to 1
kkkkk	Non-normal	Wilcoxon rank sum test	Ejaculation latency: VEH vs. LC	W = 20	0.098	HL = -131.621	-663 to 5.161e-05
lllll	Normal distribution	Welch’s t-test	Hops and darts: VEH vs. LC	t_(16.893) = 0.532	0.602	d = 0.244	0.079
mmmmm	Normal distribution	Welch’s t-test	Solicitations: VEH vs. LC	t_(16.501) = 1.307	0.209	d = 0.602	0.236
nnnnn	Non-normal	Wilcoxon rank sum test	Lordosis quotient: VEH vs. LC	W = 45	1	HL < 0.000	-5.437e-06 to 2.74e-06
ooooo	Normal distribution	Welch’s t-test	Factor 1: male vs. female	t_(26.023) = –0.5	0.621	d = 0.187	0.077
ppppp	Normal distribution	Welch’s t-test	Factor 2: male vs. female	t_(18.074) = –0.691	0.499	d = 0.263	0.105
qqqqq	Normal distribution	Welch’s t-test	Factor 3: male vs. female	t_(20.761) = 0.704	0.49	d = 0.256	0.102
rrrrr	Normal distribution	Welch’s t-test	Factor 4: male vs. female	t_(26.982) = –0.572	0.572	d = 0.212	0.085
sssss	Normal distribution	Welch’s t-test	Factor 1: VEH vs. LC	t_(26.941) = –3.267	0.003	d = 1.187	0.865
ttttt	Normal distribution	Welch’s t-test	Factor 2: VEH vs. LC	t_(25.663) = –4.063	<0.001	d = 1.449	0.962
uuuuu	Normal distribution	Welch’s t-test	Factor 3: VEH vs. LC	t_(25.689) = 1.559	0.131	d = 0.556	0.301
vvvvv	Normal distribution	Welch’s t-test	Factor 4: VEH vs. LC	t_(21.724) = 1.415	0.171	d = 0.545	0.291