Table 1.

Summary of statistical tests

Figure	Test	Statistical value	p-value	n (no. of animals)	Post hoc comparisons
Figure	Test	Statistical value	p-value	n (no. of animals)	Groups compared	Mean 1	Mean 2	Significance
2C	One-way ANOVA	F_(3,22) = 16.68	<0.0001	7 (control)	Control vs low Rheb^CA	95.6	127.8	^*
				8 (low Rheb^CA)	Control vs int Rheb^CA	95.6	143.7	^**
				6 (int Rheb^CA)	Control vs high Rheb^CA	95.6	180.6	^****
				5 (high Rheb^CA)	Low vs int Rheb^CA	127.8	143.7	ns
					Low vs high Rheb^CA	127.8	180.6	^**
					Int vs high Rheb^CA	143.7	180.6	^*
2E	One-way ANOVA	F_(3,22) = 14.92	<0.0001	7 (control)	Control vs low Rheb^CA	88.9	156.4	^**
				8 (low Rheb^CA)	Control vs int Rheb^CA	88.9	143.9	^*
				6 (int Rheb^CA)	Control vs high Rheb^CA	88.9	207.9	^****
				5 (high Rheb^CA)	Low vs int Rheb^CA	156.4	143.9	ns
					Low vs high Rheb^CA	156.4	207.9	^*
					Int vs high Rheb^CA	143.9	207.9	^*
2F	Pearson's product–moment	r = 0.8501	<0.0001	7 (control)
	correlation			8 (low Rheb^CA)
				6 (int Rheb^CA)
				5 (high Rheb^CA)
2H	One-way ANOVA	F_(3,22) = 284.6	<0.0001	7 (control)	Control vs low Rheb^CA	82.3	232.9	^****
				8 (low Rheb^CA)	Control vs int Rheb^CA	82.3	390.9	^****
				6 (int Rheb^CA)	Control vs high Rheb^CA	82.3	486.0	^****
				5 (high Rheb^CA)	Low vs int Rheb^CA	232.9	390.9	^****
					Low vs high Rheb^CA	232.9	486.0	^****
					Int vs high Rheb^CA	390.9	486.0	^****
2I	Pearson's product–moment	r = 0.8257	<0.0001	7 (control)
	correlation			8 (low Rheb^CA)
				6 (int Rheb^CA)
				5 (high Rheb^CA)
3D	One-way ANOVA	F_(3,22) = 17.77	<0.0001	7 (control)	Control vs low Rheb^CA	99.6	94.9	ns
				8 (low Rheb^CA)	Control vs int Rheb^CA	99.6	56.0	^****
				6 (int Rheb^CA)	Control vs high Rheb^CA	99.6	62.3	^***
				5 (high Rheb^CA)	Low vs int Rheb^CA	94.9	56.0	^***
					Low vs high Rheb^CA	94.9	62.3	^**
					Int vs high Rheb^CA	56.0	62.3	ns
3F	Two-way repeated-	Interaction	<0.0001	7 (control)	See graph for relevant significant
	measures ANOVA	F_(27,198) = 7.371		8 (low Rheb^CA)	post hoc comparisons
		Row effect: F_(9,198) = 42.96	<0.0001	6 (int Rheb^CA)
		Column effect: F_(3,22) = 0.6691	0.5800	5 (high Rheb^CA)
		Subjects (matching): F_(22,198) = 6.304e-006	>0.9999
4B	Spearman's rank–order	r = 0.8709	<0.0001	7 (control)
	correlation			8 (low Rheb^CA)
				7 (int Rheb^CA)
				12 (high Rheb^CA)
4C	Spearman's rank–order	r = 0.6818	0.0018	8 (low Rheb^CA)
	correlation			6 (int Rheb^CA)
				4 (high Rheb^CA)
4D	Spearman's rank–order	r = 0.8693	<0.0001	8 (low Rheb^CA)
	correlation			6 (int Rheb^CA)
				4 (high Rheb^CA)
4E	Mann-Whitney U	U = 15	0.0208	7 (int Rheb^CA)
				12 (high Rheb^CA)
4F	Mann-Whitney U	U = 27	0.4240	6 (int Rheb^CA)
				12 (high Rheb^CA)
5A	One-way ANOVA	F_(3,22) = 4.783	0.0103	7 (control)	Control vs low Rheb^CA	74.4	64.5	ns
				8 (low Rheb^CA)	Control vs int Rheb^CA	74.4	138.5	^*
				6 (int Rheb^CA)	Control vs high Rheb^CA	74.4	88.6	ns
				5 (high Rheb^CA)	Low vs int Rheb^CA	64.5	138.5	^**
					Low vs high Rheb^CA	64.5	88.6	ns
					Int vs high Rheb^CA	138.5	88.6	ns
5B	Spearman's rank–order	r = 0.4294	0.0754	8 (low Rheb^CA)
	correlation			6 (int Rheb^CA)
				4 (high Rheb^CA)
6B	One-way ANOVA	F_(2,18) = 6.166	0.0091	7 (control)	Control vs low Rheb^CA	131.7	144.7	ns
				8 (low Rheb^CA)	Control vs int Rheb^CA	131.7	167.1	^**
				6 (int Rheb^CA)	Low vs int Rheb^CA	144.7	167.1	ns
6C	Spearman's rank–order	r = 0.5502	0.0441	8 (low Rheb^CA)
	correlation			6 (int Rheb^CA)
6D	Two-way repeated-	Interaction:	0.0414	7 (control)	Ipsi-contra
	measures ANOVA	F_(2,16) = 3.913		8 (low Rheb^CA)	Control	131.7	136.0	ns
		Row effect:	0.0494	4 (int Rheb^CA)	Low	144.7	138.2	ns
		F_(1,16) = 4.522			Intermediate	179.3	163.5	^*
		Column effect:	0.0006		Ipsi
		F_(2,16) = 12.05			Control vs low	131.7	144.7	ns
		Subjects (matching):	0.0022		Control vs int	131.7	179.3	^****
		F_(16,16) = 4.522			Low vs int	144.7	179.3	^***
					Contra
					Control vs low	136.0	138.2	ns
					Control vs int	136.0	163.5	^**
					Low vs int	138.2	163.5	^*
6E	One-way ANOVA	F_(2,18) = 7.472	0.0043	7 (control)	Control vs low Rheb^CA	49.7	51.6	ns
				8 (low Rheb^CA)	Control vs int Rheb^CA	49.7	72.0	^**
				6 (int Rheb^CA)	Low vs int Rheb^CA	51.6	72.0	^*

↵*p < 0.05,
↵**p < 0.01,
↵***p < 0.001,
↵****p < 0.0001.