Table 1.

Statistical table

	Figure	Comparison	Data Structure (Shapiro–Wilk normality test unless otherwise stated)	Type of test	Statistic	Confidence, 95% CI
a1	1Bi	WT vs Panx1 KO	Normal distribution	Unpaired two-tailed t test	t = 4.051; df = 13	p = 0.0014; 1.667 to 5.476
a2	1Bi	WT vs Panx1 KO	Normal distribution (D’Agostino-Pearson Normality Test chosen because of multiple identical values)	Unpaired two-tailed t test	i = 4.374; df = 39	p < 0.0001; 1.894 to 5.153
b1	1Ci	WT vs Panx1 KO	Normal distribution (D’Agostino-Pearson Normality Test chosen because of multiple identical values)	Unpaired two-tailed t test	t = 2.844; df = 39	p = 0.0071; 0.4654 to 2.758
b2	1Ci	WT vs Panx1 KO	Normal distribution	Unpaired two-tailed t test	t = 1.320; df = 30	p = 0.1968; −0.3101 to 1.443
c	1D	WT vs Panx1 KO	Not normal (p < 0.0001)	Mann-Whitney U test (two-tailed)	U = 316,969	p < 0.0001, 834622, 1.384e6
d	1E	WT vs Panx1 KO	Not normal (p < 0.0001)	Mann-Whitney U test (two-tailed)	U = 294,294	p < 0.0001; 811947, 1.407e6
e1	1Fii	WT vs Panx1 KO, interaction effect	Normal distribution	Two-way ANOVA	F_{(2, 90)} = 3.475	p = 0.0352
e2	1Fii	WT vs Panx1 KO, cell-type effect	Normal distribution	Two-way ANOVA	F_{(2, 90)} = 2615	p < 0.0001
e3	1Fii	WT vs Panx1 KO, genotype effect	Normal distribution	Two-way ANOVA	F_{(1, 90)} = 4.934e-008	p = 0.9998
e4	1Fii	WT vs Panx1 KO, excitatory neurons	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.9702, −2.347 to 5.568
e5	1Fii	WT vs Panx1 KO, inhibitory neurons	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.7500, −2.079 to 5.835
e6	1Fii	WT vs Panx1 KO, astrocytes	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.1026, −7.445 to 0.4690
e7	1Fii	WT vs Panx1 KO	Normal distribution	Simple effect ANOVA^a	F_{(5, 90)} = 1047	p < 0.0001
e8	1Fii	WT vs Panx1 KO, excitatory neurons	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p = 0.9702, −2.347 to 5.568
e9	1Fii	WT vs Panx1 KO, inhibitory neurons	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p = 0.7500, −2.079 to 5.835
e10	1Fii	WT vs Panx1 KO, astrocytes	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p = 0.1026, −7.445 to 0.4690
f	1G	WT vs Panx1 KO Formazan absorbance (MTT conversion to formazan)	Normal distribution	Unpaired two-tailed t test	t = 0.128 df = 4	p = 0.9089, −25.76 to 23.59
g1	2Aiii	PSD-95 and Panx1 expression in Homogenate (H) vs Synaptosome (P3) content interaction	Normal distribution	Two-way ANOVA	F_{(1, 8)} = 9.847	p = 0.0138
g2	2Aiii	PSD-95 and Panx1 expression effect	Normal distribution	Two-way ANOVA	F_{(1, 8)} = 9.847	p = 0.0138
g3	2Aiii	H vs P3 content effect	Normal distribution	Two-way ANOVA	F_{(1, 8)} = 74.46	p < 0.0001
g4	2Aiii	PSD-95 expression in H vs P3	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p < 0.0001; −358.0 to −180.1
g5	2Aiii	Panx1 expression in H vs P3	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.0093; −214.5 to −36.58
g6	2Aiii	PSD-95 and Panx1 expression in H vs P3	Normal distribution	Simple effect ANOVA^a	F_{(3, 8)} = 31.38	p < 0.0001
g7	2Aiii	Panx1 expression in H vs P3	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p < 0.0001; −214.5 to −36.58
g8	2Aiii	PSD-95 and Panx1 expression in H and P3	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p = 0.0093; −358.0 to −180.1
h1	2Biii	Panx1 expression P7–P63	Normal distribution	One-way ANOVA	F_{(3, 8)} = 365.9	p < 0.0001
h2	2Biii	Panx1 expression P7–P14	Normal distribution	One-way ANOVA with Bonferroni’s correction		p < 0.0001; 0.6377 to 0.8563
h3	2Biii	Panx1 expression P14-P29	Normal distribution	One-way ANOVA with Bonferroni’s correction		p = 0.0006; 0.1161 to 0.3218
h4	2Biii	Panx1 expression P29–P63	Normal distribution	One-way ANOVA with Bonferroni’s correction		p = 0.9604; −0.08815 to 0.1304
i1	3B	Panx1 expression WT vs KO (genotype) by age interaction	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 84.46	p < 0.0001
i2	3B	Genotype effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 144.7	p < 0.0001
i3	3B	Age effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 84.46	p < 0.0001
i4	3B	Panx1 expression WT P14 vs WT P29	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p < 0.0001;70.14 to 103.1
i5	3B	Panx1 expression KO P14 vs KO P29	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = > 0.9999; −16.48 to 16.48
i6	3B	Panx1 expression WT P14–P29 and KO P14–P29	Normal distribution	Simple effect ANOVA^a	F_{(3, 16)} = 104.5	p < 0.0001
i7	3B	Panx1 expression WT P14 vs WT P29	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p < 0.0001, 67.87 to 105.4
i8	3B	Panx1 expression WT P14 % KO 14	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p < 0.0001; 81.25 to 118.7
i9	3B	Panx1 expression WT 29 vs KO P29	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p = 0.2476; −5.369 to 32.13
i10	3B	Panx1 expression KO P14 vs KO P29	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p > 0.9999; −18.75 to 18.75
j1	3B	PSD-95 expression WT vs KO (genotype) by age interaction	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 4.208	p = 0.0570
j2	3B	Genotype effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 37.42	p < 0.0001
j3	3B	Age effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 175.8	p < 0.0001
j4	3B	PSD-95, WT P14 vs KO P14	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p < 0.0001; −113.1 to −45.30
j5	3B	PSD-95, WT P29 vs KO P29	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.0220; −73.34 to −5.516
k1	3B	GluA1 expression WT vs KO (genotype) by age interaction	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 0.1996	p = 0.6611
k2	3B	Genotype effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 9.090	p = 0.0082
k3	3B	Age effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 0.02040	p = 0.8882
k4	3B	GluA1, WT P14 vs KO P14	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.1763; −131.3 to 20.11
k5	3B	GluA1, WT P29 vs KO P29	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.0526; −150.6 to 0.7678
l1	3B	GluA2 expression WT vs KO (genotype) by age interaction	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 1.156	p = 0.2982
l2	3B	Genotype effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 0.5621	p = 0.4643
l3	3B	Age effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 0.1894	p = 0.6693
m1	3B	GluN1 expression WT vs KO (genotype) by age interaction	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 4.900	p = 0.0417
m2	3B	Genotype effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 0.05221	p = 0.8222
m3	3B	Age effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 19.95	p = 0.0004
m4	3B	GluN1, WT P14 vs KO P14	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.3590; −22.63 to 6.241
m5	3B	GluN1, WT P29 vs KO P29	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.2069; −4.355 to 24.52
m6	3B	GluN1 expression WT P14–P29 and KO P14–P29	Normal distribution	Simple effect ANOVA^a	F_{(3, 16)} = 8.300	p = 0.0015
m7	3B	GluN1 expression WT P14–P29	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p = 0.0009; −43.99 to −11.15
m8	3B	GluN1 expression KO P14–P29	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p = 0.5231; −25.72 to 7.123
m9	3B	GluN1 expression WT vs KO, P14	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p = 0.7180, −24.62 to 8.227
m10	3B	GluN1 expression WT vs KO, P29	Normal distribution	Simple effect ANOVA^a with Bonferroni’s correction		p = 0.4138, −6.341 to 26.50
n1	3B	GluN2A expression WT vs KO (genotype) by age interaction	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 0.05302	p = 0.8208
n2	3B	Genotype effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 7.892	p = 0.0126
n3	3B	Age effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 1.092	p = 0.3115
n4	3B	GluN2A, WT P14 vs KO P14	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.1739; −159.7 to 24.14
n5	3B	GluN2A, WT P29 vs KO P29	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.0945; −171.8 to 12.03
o1	3B	GluN2B expression WT vs KO (genotype) by age interaction	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 3.507	p = 0.0795
o2	3B	Genotype effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 1.219	p = 0.2859
o3	3B	Age effect	Normal distribution	Two-way ANOVA	F_{(1, 16)} = 4.547	p = 0.0488
o4	3B	GluN2B, WT P14 vs WT P29	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p > 0.9999; −35.97 to 41.75
o5	3B	GluN2B, KO P14 vs KO P29	Normal distribution	Two-way ANOVA with Bonferroni’s correction		p = 0.0240; 5.644 to 83.37
p1	4Bi	Spine density WT P14 vs KO P14	Normal distribution	Unpaired two-tailed t test	t = 3.962; df = 14	p = 0.0014; −5.368 to −1.597
p2	4Bi	Spine length WT P14 vs KO P14	Normal distribution	Unpaired two-tailed t test	t = 0.8432; df = 14	p = 0.4133; −0.09070 to 0.2082
p3	4Bi	Spine head diameter WT P14 vs KO P14, total distribution	Not normal	Mann-Whitney U test (two-tailed)	U = 1.474e⁷	p = 0.0131
p4	4Bi	Spine head diameter WT P14 vs KO P14, 25% right tail (> percentile 75)	Not normal	Mann-Whitney U test (two-tailed)	U = 931,253	p = 0.4022.
q1	4Bi	Spine density WT P29 vs KO P29	Normal distribution	Unpaired two-tailed t test	t = 5.754; df = 12	p < 0.0001; 3.279 to 7.275
q2	4Biii	Spine lengthWT P29 vs KO P29	Normal distribution	Unpaired two-tailed t test	t = 0.8214; df = 12	p = 0.4274; −0.05194 to 0.1148
r1	4Biii	Spine densityPanx1^f/f vs Panx1 cKO^E	Normal distribution	Unpaired two-tailed t test	t = 4.548; df = 4	p = 0.0104; 2.767 to 11.44
r2	4Cii	Spine length Panx1^f/f vs Panx1 cKO^E	Normal distribution	Unpaired two-tailed t test	t = 0.8717; df = 4	p = 0.4326; −0.1602 to 0.3069
s1	4Cii	Spine density WT vs KO primary cortical neurons	Normal distribution (D’Agostino-Pearson Normality Test chosen due to multiple identical values)	Unpaired two-tailed t test	t = 8.336; df = 25	p < 0.0001;4.482 to 7.424
s2	4Cii	PSD-95+ spines WT vs KO primary cortical neurons	Normal distribution (D’Agostino-Pearson Normality Test chosen due to multiple identical values)	Unpaired two-tailed t test	t = 4.243; df = 25	p = 0.0003; 1.220 to 3.521
s3	4Cii	Spine Length WT vs KO primary cortical neurons	Normal distribution	Unpaired two-tailed t test	t = 1.302; df = 25	p = 0.2047; −0.4186 to 0.09428

↵a Group analyses were performed using two-way ANOVAs. When interactions were significant, a one-way ANOVA with Bonferroni’s multiple-comparison’s test correction was performed to evaluate simple effects (McDonald, 2014).