Table S3.

Results of the multivariate model-fitting analyses for brain shape

Model	P	AIC	AICc	ΔAICc	AICc weight
OU multi + surf	18	−594.44	−571.64	0	0.94
SURFACEc	16	−583.29	−566.29	5.35	0.06
GS	10	−548.12	−542.33	29.31	0.00
OU multi	16	−549.41	−532.41	39.23	0.00
BM	5	−530.20	−528.81	42.83	0.00
EB	6	−530.17	−528.17	43.47	0.00
OU1	8	−525.44	−521.84	49.80	0.00
Conv	14	−523.13	−510.77	60.87	0.00
Clades	12	−467.58	−458.92	112.72	0.00

For each model, the number of parameters (P), the Akaike information criterion (AIC), the small sample corrected AIC (AICc), and the relative fit (ΔAICc) and support (AICc weight) are shown. The best model has the lowest ΔAICc. See Fig. S4 and Supporting Information for detailed descriptions of OU models.